初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/LatexMind-2B-Codec Source: Original Platform
2026-05-21 01:14:12 +08:00
commit 9b56f1fb1d
15 changed files with 152482 additions and 0 deletions
--- a/.gitattributes
+++ b/.gitattributes
@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
--- a/README.md
+++ b/README.md
@@ -0,0 +1,141 @@
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen2-VL-2B-Instruct
+pipeline_tag: image-text-to-text
+library_name: transformers
+tags:
+- latex
+- vLM
+- Vision
+- Codec
+---
+
+![qwenVL.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/g8zYbOSBt4NSqhSIypaX3.png)
+
+--------------
+
+# **LatexMind-2B-Codec**
+
+The **LatexMind-2B-Codec** model is a fine-tuned version of Qwen2-VL-2B-Instruct, optimized for Optical Character Recognition (OCR), **image-to-text conversion**, and **mathematical expression extraction with LaTeX formatting**. This model integrates a conversational approach with visual and textual understanding to handle multi-modal tasks effectively.  
+
+# Key Enhancements:  
+
+* **SoTA understanding of images with various resolutions & aspect ratios**: LatexMind-2B-Codec achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc.  
+
+* **Advanced LaTeX extraction**: The model specializes in extracting structured mathematical expressions from images and documents, converting them into LaTeX format for precise rendering and further computation.  
+
+* **Understanding long-duration videos (20min+)**: LatexMind-2B-Codec can process videos over 20 minutes long, enabling high-quality video-based question answering, mathematical solution explanation, and educational content creation.  
+
+* **Agent capabilities for automated operations**: With complex reasoning and decision-making abilities, the model can be integrated with mobile devices, robots, and assistive technologies to automate tasks based on visual and textual inputs.  
+
+* **Multilingual Support**: To serve global users, in addition to English and Chinese, the model supports text recognition inside images across multiple languages, including European languages, Japanese, Korean, Arabic, Vietnamese, etc.  
+
+This model is particularly effective in **retrieving mathematical notations and equations** from scanned documents, whiteboard images, and handwritten notes, ensuring accurate conversion to LaTeX code for further academic and computational applications.  
+
+# Sample Inference with Doc 
+
+![latexqwen.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/-h5z3giEudPrdM9qRMMTe.png)
+
+Demo: https://huggingface.co/prithivMLmods/LatexMind-2B-Codec/blob/main/latexmind/latexmind-codec.ipynb
+
+# Use it with Transformers
+
+
+```python
+from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor
+from qwen_vl_utils import process_vision_info
+
+# default: Load the model on the available device(s)
+model = Qwen2VLForConditionalGeneration.from_pretrained(
+    "prithivMLmods/LatexMind-2B-Codec", torch_dtype="auto", device_map="auto"
+)
+
+# We recommend enabling flash_attention_2 for better acceleration and memory saving, especially in multi-image and video scenarios.
+# model = Qwen2VLForConditionalGeneration.from_pretrained(
+#     "prithivMLmods/LatexMind-2B-Codec",
+#     torch_dtype=torch.bfloat16,
+#     attn_implementation="flash_attention_2",
+#     device_map="auto",
+# )
+
+# default processer
+processor = AutoProcessor.from_pretrained("prithivMLmods/Qwen2-VL-OCR-2B-Instruct")
+
+# The default range for the number of visual tokens per image in the model is 4-16384. You can set min_pixels and max_pixels according to your needs, such as a token count range of 256-1280, to balance speed and memory usage.
+# min_pixels = 256*28*28
+# max_pixels = 1280*28*28
+# processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", min_pixels=min_pixels, max_pixels=max_pixels)
+
+messages = [
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "image",
+                "image": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg",
+            },
+            {"type": "text", "text": "Describe this image."},
+        ],
+    }
+]
+
+# Preparation for inference
+text = processor.apply_chat_template(
+    messages, tokenize=False, add_generation_prompt=True
+)
+image_inputs, video_inputs = process_vision_info(messages)
+inputs = processor(
+    text=[text],
+    images=image_inputs,
+    videos=video_inputs,
+    padding=True,
+    return_tensors="pt",
+)
+inputs = inputs.to("cuda")
+
+# Inference: Generation of the output
+generated_ids = model.generate(**inputs, max_new_tokens=128)
+generated_ids_trimmed = [
+    out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
+]
+output_text = processor.batch_decode(
+    generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
+)
+print(output_text)
+```
+# Buf
+```python
+    buffer = ""
+    for new_text in streamer:
+        buffer += new_text
+        # Remove <|im_end|> or similar tokens from the output
+        buffer = buffer.replace("<|im_end|>", "")
+        yield buffer
+```
+
+# Intended Use 
+
+**LatexMind-2B-Codec** is designed for tasks that require **image-based text recognition**, **math equation extraction**, and **multi-modal understanding**. It is particularly useful in the following scenarios:  
+
+ **Optical Character Recognition (OCR)** – Extracting printed and handwritten text from images, documents, and scanned pages.  
+ **Math Expression Recognition** – Converting mathematical notations into structured **LaTeX format** for further computation and documentation.  
+ **Image-to-Text Conversion** – Generating accurate descriptions for text-rich and math-heavy images.  
+ **Document and Academic Processing** – Assisting researchers, students, and professionals in digitizing handwritten notes and extracting structured content from books, PDFs, and whiteboards.  
+ **Automated Educational Support** – Enabling AI-powered tutors, content summarization, and interactive learning for subjects involving complex equations.  
+ **Multi-Language OCR** – Recognizing text inside images across multiple languages, including English, Chinese, Japanese, Korean, Arabic, and various European languages.  
+ **Video-Based Question Answering** – Understanding long-duration videos for content summarization, question answering, and structured data extraction.  
+
+# Limitations 
+
+Despite its capabilities, **LatexMind-2B-Codec** has some inherent limitations:  
+
+ **Handwritten Text Accuracy** – While it can recognize handwritten equations, performance may degrade with highly unstructured or messy handwriting.  
+ **Complex LaTeX Formatting** – The model may struggle with deeply nested or ambiguous LaTeX expressions, requiring manual corrections for precise formatting.  
+ **Low-Resolution Images** – Extracting accurate text from blurry or low-resolution images can lead to misinterpretations or OCR errors.  
+ **Contextual Understanding in Multi-Step Equations** – While it recognizes math expressions, solving multi-step problems autonomously may be limited.  
+ **Limited Support for Rare Mathematical Notations** – Some specialized or domain-specific symbols may not be recognized with high accuracy.  
+ **Processing Speed for Large Documents** – Performance may slow down when handling extremely large documents or dense mathematical content in real-time applications.  
+ **Language-Specific OCR Variability** – While it supports multiple languages, OCR accuracy may vary depending on the script complexity and font style.
--- a/added_tokens.json
+++ b/added_tokens.json
@@ -0,0 +1,16 @@
+{
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}
--- a/chat_template.json
+++ b/chat_template.json
@@ -0,0 +1,3 @@
+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,49 @@
+{
+  "_name_or_path": "Qwen/Qwen2-VL-2B-Instruct",
+  "architectures": [
+    "Qwen2VLForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "image_token_id": 151655,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2_vl",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "mrope_section": [
+      16,
+      24,
+      24
+    ],
+    "rope_type": "default",
+    "type": "default"
+  },
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "video_token_id": 151656,
+  "vision_config": {
+    "hidden_size": 1536,
+    "in_chans": 3,
+    "model_type": "qwen2_vl",
+    "spatial_patch_size": 14
+  },
+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652,
+  "vision_token_id": 151654,
+  "vocab_size": 151936
+}
--- a/configuration.json
+++ b/configuration.json
@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "image-text-to-text", "allow_remote": true}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "max_length": 32768,
+  "pad_token_id": 151654,
+  "temperature": 0.01,
+  "top_k": 1,
+  "top_p": 0.001,
+  "transformers_version": "4.47.1"
+}
--- a/latexmind/latexmind-codec.ipynb
+++ b/latexmind/latexmind-codec.ipynb
@@ -0,0 +1,622 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "-b4-SW1aGOcF"
+      },
+      "source": [
+        "# `Latex Mind 2B Codec`\n",
+        "\n",
+        "Qwen2VLForConditionalGeneration"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "oDmd1ZObGSel",
+        "outputId": "d672ebea-c7ec-4d77-e634-484078e9ef39"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Collecting gradio\n",
+            "  Downloading gradio-5.14.0-py3-none-any.whl.metadata (16 kB)\n",
+            "Collecting spaces\n",
+            "  Downloading spaces-0.32.0-py3-none-any.whl.metadata (1.0 kB)\n",
+            "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.47.1)\n",
+            "Requirement already satisfied: accelerate in /usr/local/lib/python3.11/dist-packages (1.2.1)\n",
+            "Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (1.26.4)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (2.32.3)\n",
+            "Requirement already satisfied: torch in /usr/local/lib/python3.11/dist-packages (2.5.1+cu124)\n",
+            "Requirement already satisfied: torchvision in /usr/local/lib/python3.11/dist-packages (0.20.1+cu124)\n",
+            "Collecting qwen-vl-utils\n",
+            "  Downloading qwen_vl_utils-0.0.10-py3-none-any.whl.metadata (6.3 kB)\n",
+            "Collecting av\n",
+            "  Downloading av-14.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.7 kB)\n",
+            "Requirement already satisfied: ipython in /usr/local/lib/python3.11/dist-packages (7.34.0)\n",
+            "Collecting reportlab\n",
+            "  Downloading reportlab-4.2.5-py3-none-any.whl.metadata (1.5 kB)\n",
+            "Collecting fpdf\n",
+            "  Downloading fpdf-1.7.2.tar.gz (39 kB)\n",
+            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Collecting python-docx\n",
+            "  Downloading python_docx-1.1.2-py3-none-any.whl.metadata (2.0 kB)\n",
+            "Requirement already satisfied: pillow in /usr/local/lib/python3.11/dist-packages (11.1.0)\n",
+            "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.27.1)\n",
+            "Collecting aiofiles<24.0,>=22.0 (from gradio)\n",
+            "  Downloading aiofiles-23.2.1-py3-none-any.whl.metadata (9.7 kB)\n",
+            "Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.7.1)\n",
+            "Collecting fastapi<1.0,>=0.115.2 (from gradio)\n",
+            "  Downloading fastapi-0.115.8-py3-none-any.whl.metadata (27 kB)\n",
+            "Collecting ffmpy (from gradio)\n",
+            "  Downloading ffmpy-0.5.0-py3-none-any.whl.metadata (3.0 kB)\n",
+            "Collecting gradio-client==1.7.0 (from gradio)\n",
+            "  Downloading gradio_client-1.7.0-py3-none-any.whl.metadata (7.1 kB)\n",
+            "Requirement already satisfied: httpx>=0.24.1 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.28.1)\n",
+            "Requirement already satisfied: jinja2<4.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.1.5)\n",
+            "Collecting markupsafe~=2.0 (from gradio)\n",
+            "  Downloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)\n",
+            "Requirement already satisfied: orjson~=3.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (3.10.15)\n",
+            "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from gradio) (24.2)\n",
+            "Requirement already satisfied: pandas<3.0,>=1.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (2.2.2)\n",
+            "Requirement already satisfied: pydantic>=2.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (2.10.6)\n",
+            "Collecting pydub (from gradio)\n",
+            "  Downloading pydub-0.25.1-py2.py3-none-any.whl.metadata (1.4 kB)\n",
+            "Collecting python-multipart>=0.0.18 (from gradio)\n",
+            "  Downloading python_multipart-0.0.20-py3-none-any.whl.metadata (1.8 kB)\n",
+            "Requirement already satisfied: pyyaml<7.0,>=5.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (6.0.2)\n",
+            "Collecting ruff>=0.9.3 (from gradio)\n",
+            "  Downloading ruff-0.9.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (25 kB)\n",
+            "Collecting safehttpx<0.2.0,>=0.1.6 (from gradio)\n",
+            "  Downloading safehttpx-0.1.6-py3-none-any.whl.metadata (4.2 kB)\n",
+            "Collecting semantic-version~=2.0 (from gradio)\n",
+            "  Downloading semantic_version-2.10.0-py2.py3-none-any.whl.metadata (9.7 kB)\n",
+            "Collecting starlette<1.0,>=0.40.0 (from gradio)\n",
+            "  Downloading starlette-0.45.3-py3-none-any.whl.metadata (6.3 kB)\n",
+            "Collecting tomlkit<0.14.0,>=0.12.0 (from gradio)\n",
+            "  Downloading tomlkit-0.13.2-py3-none-any.whl.metadata (2.7 kB)\n",
+            "Requirement already satisfied: typer<1.0,>=0.12 in /usr/local/lib/python3.11/dist-packages (from gradio) (0.15.1)\n",
+            "Requirement already satisfied: typing-extensions~=4.0 in /usr/local/lib/python3.11/dist-packages (from gradio) (4.12.2)\n",
+            "Collecting uvicorn>=0.14.0 (from gradio)\n",
+            "  Downloading uvicorn-0.34.0-py3-none-any.whl.metadata (6.5 kB)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.11/dist-packages (from gradio-client==1.7.0->gradio) (2024.10.0)\n",
+            "Requirement already satisfied: websockets<15.0,>=10.0 in /usr/local/lib/python3.11/dist-packages (from gradio-client==1.7.0->gradio) (14.2)\n",
+            "Requirement already satisfied: psutil<6,>=2 in /usr/local/lib/python3.11/dist-packages (from spaces) (5.9.5)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.17.0)\n",
+            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2024.11.6)\n",
+            "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.21.0)\n",
+            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.5.2)\n",
+            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.11/dist-packages (from transformers) (4.67.1)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests) (3.4.1)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests) (3.10)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests) (2.3.0)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests) (2024.12.14)\n",
+            "Requirement already satisfied: networkx in /usr/local/lib/python3.11/dist-packages (from torch) (3.4.2)\n",
+            "Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch)\n",
+            "  Downloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+            "Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch)\n",
+            "  Downloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+            "Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch)\n",
+            "  Downloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+            "Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch)\n",
+            "  Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+            "Collecting nvidia-cublas-cu12==12.4.5.8 (from torch)\n",
+            "  Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+            "Collecting nvidia-cufft-cu12==11.2.1.3 (from torch)\n",
+            "  Downloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+            "Collecting nvidia-curand-cu12==10.3.5.147 (from torch)\n",
+            "  Downloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+            "Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch)\n",
+            "  Downloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+            "Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch)\n",
+            "  Downloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+            "Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /usr/local/lib/python3.11/dist-packages (from torch) (2.21.5)\n",
+            "Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /usr/local/lib/python3.11/dist-packages (from torch) (12.4.127)\n",
+            "Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch)\n",
+            "  Downloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+            "Requirement already satisfied: triton==3.1.0 in /usr/local/lib/python3.11/dist-packages (from torch) (3.1.0)\n",
+            "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.11/dist-packages (from torch) (1.13.1)\n",
+            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from sympy==1.13.1->torch) (1.3.0)\n",
+            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.11/dist-packages (from ipython) (75.1.0)\n",
+            "Collecting jedi>=0.16 (from ipython)\n",
+            "  Downloading jedi-0.19.2-py2.py3-none-any.whl.metadata (22 kB)\n",
+            "Requirement already satisfied: decorator in /usr/local/lib/python3.11/dist-packages (from ipython) (4.4.2)\n",
+            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.11/dist-packages (from ipython) (0.7.5)\n",
+            "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.11/dist-packages (from ipython) (5.7.1)\n",
+            "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.11/dist-packages (from ipython) (3.0.50)\n",
+            "Requirement already satisfied: pygments in /usr/local/lib/python3.11/dist-packages (from ipython) (2.18.0)\n",
+            "Requirement already satisfied: backcall in /usr/local/lib/python3.11/dist-packages (from ipython) (0.2.0)\n",
+            "Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.11/dist-packages (from ipython) (0.1.7)\n",
+            "Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.11/dist-packages (from ipython) (4.9.0)\n",
+            "Requirement already satisfied: chardet in /usr/local/lib/python3.11/dist-packages (from reportlab) (5.2.0)\n",
+            "Requirement already satisfied: lxml>=3.1.0 in /usr/local/lib/python3.11/dist-packages (from python-docx) (5.3.0)\n",
+            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.11/dist-packages (from anyio<5.0,>=3.0->gradio) (1.3.1)\n",
+            "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.11/dist-packages (from httpx>=0.24.1->gradio) (1.0.7)\n",
+            "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.11/dist-packages (from httpcore==1.*->httpx>=0.24.1->gradio) (0.14.0)\n",
+            "Requirement already satisfied: parso<0.9.0,>=0.8.4 in /usr/local/lib/python3.11/dist-packages (from jedi>=0.16->ipython) (0.8.4)\n",
+            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas<3.0,>=1.0->gradio) (2.8.2)\n",
+            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas<3.0,>=1.0->gradio) (2024.2)\n",
+            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas<3.0,>=1.0->gradio) (2025.1)\n",
+            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.11/dist-packages (from pexpect>4.3->ipython) (0.7.0)\n",
+            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.11/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython) (0.2.13)\n",
+            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.11/dist-packages (from pydantic>=2.0->gradio) (0.7.0)\n",
+            "Requirement already satisfied: pydantic-core==2.27.2 in /usr/local/lib/python3.11/dist-packages (from pydantic>=2.0->gradio) (2.27.2)\n",
+            "Requirement already satisfied: click>=8.0.0 in /usr/local/lib/python3.11/dist-packages (from typer<1.0,>=0.12->gradio) (8.1.8)\n",
+            "Requirement already satisfied: shellingham>=1.3.0 in /usr/local/lib/python3.11/dist-packages (from typer<1.0,>=0.12->gradio) (1.5.4)\n",
+            "Requirement already satisfied: rich>=10.11.0 in /usr/local/lib/python3.11/dist-packages (from typer<1.0,>=0.12->gradio) (13.9.4)\n",
+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas<3.0,>=1.0->gradio) (1.17.0)\n",
+            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.11/dist-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (3.0.0)\n",
+            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.11/dist-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n",
+            "Downloading gradio-5.14.0-py3-none-any.whl (57.7 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.7/57.7 MB\u001b[0m \u001b[31m38.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading gradio_client-1.7.0-py3-none-any.whl (321 kB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m321.9/321.9 kB\u001b[0m \u001b[31m31.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading spaces-0.32.0-py3-none-any.whl (29 kB)\n",
+            "Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl (363.4 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (13.8 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.8/13.8 MB\u001b[0m \u001b[31m111.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (24.6 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.6/24.6 MB\u001b[0m \u001b[31m86.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (883 kB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m883.7/883.7 kB\u001b[0m \u001b[31m58.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl (211.5 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl (56.3 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.3/56.3 MB\u001b[0m \u001b[31m39.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m127.9/127.9 MB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl (207.5 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m92.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading qwen_vl_utils-0.0.10-py3-none-any.whl (6.7 kB)\n",
+            "Downloading av-14.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.5 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m39.5/39.5 MB\u001b[0m \u001b[31m57.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading reportlab-4.2.5-py3-none-any.whl (1.9 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m86.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading python_docx-1.1.2-py3-none-any.whl (244 kB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m244.3/244.3 kB\u001b[0m \u001b[31m24.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading aiofiles-23.2.1-py3-none-any.whl (15 kB)\n",
+            "Downloading fastapi-0.115.8-py3-none-any.whl (94 kB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.8/94.8 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading jedi-0.19.2-py2.py3-none-any.whl (1.6 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m74.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (28 kB)\n",
+            "Downloading python_multipart-0.0.20-py3-none-any.whl (24 kB)\n",
+            "Downloading ruff-0.9.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.4 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.4/12.4 MB\u001b[0m \u001b[31m105.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading safehttpx-0.1.6-py3-none-any.whl (8.7 kB)\n",
+            "Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
+            "Downloading starlette-0.45.3-py3-none-any.whl (71 kB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.5/71.5 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading tomlkit-0.13.2-py3-none-any.whl (37 kB)\n",
+            "Downloading uvicorn-0.34.0-py3-none-any.whl (62 kB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.3/62.3 kB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hDownloading ffmpy-0.5.0-py3-none-any.whl (6.0 kB)\n",
+            "Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
+            "Building wheels for collected packages: fpdf\n",
+            "  Building wheel for fpdf (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for fpdf: filename=fpdf-1.7.2-py2.py3-none-any.whl size=40704 sha256=ca4d2c3df640c199d761f48bf1315c641e2cddc8aad3891cb9088fc05ab88413\n",
+            "  Stored in directory: /root/.cache/pip/wheels/65/4f/66/bbda9866da446a72e206d6484cd97381cbc7859a7068541c36\n",
+            "Successfully built fpdf\n",
+            "Installing collected packages: pydub, fpdf, uvicorn, tomlkit, semantic-version, ruff, reportlab, python-multipart, python-docx, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, markupsafe, jedi, ffmpy, av, aiofiles, starlette, qwen-vl-utils, nvidia-cusparse-cu12, nvidia-cudnn-cu12, safehttpx, nvidia-cusolver-cu12, gradio-client, fastapi, gradio, spaces\n",
+            "  Attempting uninstall: nvidia-nvjitlink-cu12\n",
+            "    Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n",
+            "    Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n",
+            "      Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n",
+            "  Attempting uninstall: nvidia-curand-cu12\n",
+            "    Found existing installation: nvidia-curand-cu12 10.3.6.82\n",
+            "    Uninstalling nvidia-curand-cu12-10.3.6.82:\n",
+            "      Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n",
+            "  Attempting uninstall: nvidia-cufft-cu12\n",
+            "    Found existing installation: nvidia-cufft-cu12 11.2.3.61\n",
+            "    Uninstalling nvidia-cufft-cu12-11.2.3.61:\n",
+            "      Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n",
+            "  Attempting uninstall: nvidia-cuda-runtime-cu12\n",
+            "    Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n",
+            "    Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n",
+            "      Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n",
+            "  Attempting uninstall: nvidia-cuda-nvrtc-cu12\n",
+            "    Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n",
+            "    Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n",
+            "      Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n",
+            "  Attempting uninstall: nvidia-cuda-cupti-cu12\n",
+            "    Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n",
+            "    Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n",
+            "      Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n",
+            "  Attempting uninstall: nvidia-cublas-cu12\n",
+            "    Found existing installation: nvidia-cublas-cu12 12.5.3.2\n",
+            "    Uninstalling nvidia-cublas-cu12-12.5.3.2:\n",
+            "      Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n",
+            "  Attempting uninstall: markupsafe\n",
+            "    Found existing installation: MarkupSafe 3.0.2\n",
+            "    Uninstalling MarkupSafe-3.0.2:\n",
+            "      Successfully uninstalled MarkupSafe-3.0.2\n",
+            "  Attempting uninstall: nvidia-cusparse-cu12\n",
+            "    Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n",
+            "    Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n",
+            "      Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n",
+            "  Attempting uninstall: nvidia-cudnn-cu12\n",
+            "    Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n",
+            "    Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n",
+            "      Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n",
+            "  Attempting uninstall: nvidia-cusolver-cu12\n",
+            "    Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n",
+            "    Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n",
+            "      Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n",
+            "Successfully installed aiofiles-23.2.1 av-14.1.0 fastapi-0.115.8 ffmpy-0.5.0 fpdf-1.7.2 gradio-5.14.0 gradio-client-1.7.0 jedi-0.19.2 markupsafe-2.1.5 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 pydub-0.25.1 python-docx-1.1.2 python-multipart-0.0.20 qwen-vl-utils-0.0.10 reportlab-4.2.5 ruff-0.9.4 safehttpx-0.1.6 semantic-version-2.10.0 spaces-0.32.0 starlette-0.45.3 tomlkit-0.13.2 uvicorn-0.34.0\n"
+          ]
+        }
+      ],
+      "source": [
+        "!pip install gradio spaces transformers accelerate numpy requests torch torchvision qwen-vl-utils av ipython reportlab fpdf python-docx pillow huggingface_hub"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 682
+        },
+        "id": "ovBSsRFhGbs2",
+        "outputId": "3a438213-78a7-4378-d07c-c7bc832e3773"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Loading latexmind...\n",
+            "Running Gradio in a Colab notebook requires sharing enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
+            "\n",
+            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
+            "* Running on public URL: https://22ef056d58ffefce09.gradio.live\n",
+            "\n",
+            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
+          ]
+        },
+        {
+          "data": {
+            "text/html": [
+              "<div><iframe src=\"https://22ef056d58ffefce09.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "# Authenticate with Hugging Face\n",
+        "from huggingface_hub import login\n",
+        "\n",
+        "# Log in to Hugging Face using the provided token\n",
+        "hf_token = '--------xxx---------'\n",
+        "login(hf_token)\n",
+        "\n",
+        "#Demo\n",
+        "import gradio as gr\n",
+        "import spaces\n",
+        "from transformers import Qwen2VLForConditionalGeneration, AutoProcessor, TextIteratorStreamer\n",
+        "from qwen_vl_utils import process_vision_info\n",
+        "import torch\n",
+        "from PIL import Image\n",
+        "import os\n",
+        "import uuid\n",
+        "import io\n",
+        "from threading import Thread\n",
+        "from reportlab.lib.pagesizes import A4\n",
+        "from reportlab.lib.styles import getSampleStyleSheet\n",
+        "from reportlab.lib import colors\n",
+        "from reportlab.platypus import SimpleDocTemplate, Image as RLImage, Paragraph, Spacer\n",
+        "from reportlab.lib.units import inch\n",
+        "from reportlab.pdfbase import pdfmetrics\n",
+        "from reportlab.pdfbase.ttfonts import TTFont\n",
+        "import docx\n",
+        "from docx.enum.text import WD_ALIGN_PARAGRAPH\n",
+        "\n",
+        "# Define model options\n",
+        "MODEL_OPTIONS = {\n",
+        "    \"latexmind\": \"prithivMLmods/LatexMind-2B-Codec\",\n",
+        "}\n",
+        "\n",
+        "# Preload models and processors into CUDA\n",
+        "models = {}\n",
+        "processors = {}\n",
+        "for name, model_id in MODEL_OPTIONS.items():\n",
+        "    print(f\"Loading {name}...\")\n",
+        "    models[name] = Qwen2VLForConditionalGeneration.from_pretrained(\n",
+        "        model_id,\n",
+        "        trust_remote_code=True,\n",
+        "        torch_dtype=torch.float16\n",
+        "    ).to(\"cuda\").eval()\n",
+        "    processors[name] = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)\n",
+        "\n",
+        "image_extensions = Image.registered_extensions()\n",
+        "\n",
+        "def identify_and_save_blob(blob_path):\n",
+        "    \"\"\"Identifies if the blob is an image and saves it.\"\"\"\n",
+        "    try:\n",
+        "        with open(blob_path, 'rb') as file:\n",
+        "            blob_content = file.read()\n",
+        "            try:\n",
+        "                Image.open(io.BytesIO(blob_content)).verify()  # Check if it's a valid image\n",
+        "                extension = \".png\"  # Default to PNG for saving\n",
+        "                media_type = \"image\"\n",
+        "            except (IOError, SyntaxError):\n",
+        "                raise ValueError(\"Unsupported media type. Please upload a valid image.\")\n",
+        "\n",
+        "            filename = f\"temp_{uuid.uuid4()}_media{extension}\"\n",
+        "            with open(filename, \"wb\") as f:\n",
+        "                f.write(blob_content)\n",
+        "\n",
+        "            return filename, media_type\n",
+        "\n",
+        "    except FileNotFoundError:\n",
+        "        raise ValueError(f\"The file {blob_path} was not found.\")\n",
+        "    except Exception as e:\n",
+        "        raise ValueError(f\"An error occurred while processing the file: {e}\")\n",
+        "\n",
+        "@spaces.GPU\n",
+        "def qwen_inference(model_name, media_input, text_input=None):\n",
+        "    \"\"\"Handles inference for the selected model.\"\"\"\n",
+        "    model = models[model_name]\n",
+        "    processor = processors[model_name]\n",
+        "\n",
+        "    if isinstance(media_input, str):\n",
+        "        media_path = media_input\n",
+        "        if media_path.endswith(tuple([i for i in image_extensions.keys()])):\n",
+        "            media_type = \"image\"\n",
+        "        else:\n",
+        "            try:\n",
+        "                media_path, media_type = identify_and_save_blob(media_input)\n",
+        "            except Exception as e:\n",
+        "                raise ValueError(\"Unsupported media type. Please upload a valid image.\")\n",
+        "\n",
+        "    messages = [\n",
+        "        {\n",
+        "            \"role\": \"user\",\n",
+        "            \"content\": [\n",
+        "                {\n",
+        "                    \"type\": media_type,\n",
+        "                    media_type: media_path\n",
+        "                },\n",
+        "                {\"type\": \"text\", \"text\": text_input},\n",
+        "            ],\n",
+        "        }\n",
+        "    ]\n",
+        "\n",
+        "    text = processor.apply_chat_template(\n",
+        "        messages, tokenize=False, add_generation_prompt=True\n",
+        "    )\n",
+        "    image_inputs, _ = process_vision_info(messages)\n",
+        "    inputs = processor(\n",
+        "        text=[text],\n",
+        "        images=image_inputs,\n",
+        "        padding=True,\n",
+        "        return_tensors=\"pt\",\n",
+        "    ).to(\"cuda\")\n",
+        "\n",
+        "    streamer = TextIteratorStreamer(\n",
+        "        processor.tokenizer, skip_prompt=True, skip_special_tokens=True\n",
+        "    )\n",
+        "    generation_kwargs = dict(inputs, streamer=streamer, max_new_tokens=1024)\n",
+        "\n",
+        "    thread = Thread(target=model.generate, kwargs=generation_kwargs)\n",
+        "    thread.start()\n",
+        "\n",
+        "    buffer = \"\"\n",
+        "    for new_text in streamer:\n",
+        "        buffer += new_text\n",
+        "        # Remove <|im_end|> or similar tokens from the output\n",
+        "        buffer = buffer.replace(\"<|im_end|>\", \"\")\n",
+        "        yield buffer\n",
+        "\n",
+        "def format_plain_text(output_text):\n",
+        "    \"\"\"Formats the output text as plain text without LaTeX delimiters.\"\"\"\n",
+        "    # Remove LaTeX delimiters and convert to plain text\n",
+        "    plain_text = output_text.replace(\"\\\\(\", \"\").replace(\"\\\\)\", \"\").replace(\"\\\\[\", \"\").replace(\"\\\\]\", \"\")\n",
+        "    return plain_text\n",
+        "\n",
+        "def generate_document(media_path, output_text, file_format, font_size, line_spacing, alignment, image_size):\n",
+        "    \"\"\"Generates a document with the input image and plain text output.\"\"\"\n",
+        "    plain_text = format_plain_text(output_text)\n",
+        "    if file_format == \"pdf\":\n",
+        "        return generate_pdf(media_path, plain_text, font_size, line_spacing, alignment, image_size)\n",
+        "    elif file_format == \"docx\":\n",
+        "        return generate_docx(media_path, plain_text, font_size, line_spacing, alignment, image_size)\n",
+        "\n",
+        "def generate_pdf(media_path, plain_text, font_size, line_spacing, alignment, image_size):\n",
+        "    \"\"\"Generates a PDF document.\"\"\"\n",
+        "    filename = f\"output_{uuid.uuid4()}.pdf\"\n",
+        "    doc = SimpleDocTemplate(\n",
+        "        filename,\n",
+        "        pagesize=A4,\n",
+        "        rightMargin=inch,\n",
+        "        leftMargin=inch,\n",
+        "        topMargin=inch,\n",
+        "        bottomMargin=inch\n",
+        "    )\n",
+        "    styles = getSampleStyleSheet()\n",
+        "    styles[\"Normal\"].fontSize = int(font_size)\n",
+        "    styles[\"Normal\"].leading = int(font_size) * line_spacing\n",
+        "    styles[\"Normal\"].alignment = {\n",
+        "        \"Left\": 0,\n",
+        "        \"Center\": 1,\n",
+        "        \"Right\": 2,\n",
+        "        \"Justified\": 4\n",
+        "    }[alignment]\n",
+        "\n",
+        "    story = []\n",
+        "\n",
+        "    # Add image with size adjustment\n",
+        "    image_sizes = {\n",
+        "        \"Small\": (200, 200),\n",
+        "        \"Medium\": (400, 400),\n",
+        "        \"Large\": (600, 600)\n",
+        "    }\n",
+        "    img = RLImage(media_path, width=image_sizes[image_size][0], height=image_sizes[image_size][1])\n",
+        "    story.append(img)\n",
+        "    story.append(Spacer(1, 12))\n",
+        "\n",
+        "    # Add plain text output\n",
+        "    text = Paragraph(plain_text, styles[\"Normal\"])\n",
+        "    story.append(text)\n",
+        "\n",
+        "    doc.build(story)\n",
+        "    return filename\n",
+        "\n",
+        "def generate_docx(media_path, plain_text, font_size, line_spacing, alignment, image_size):\n",
+        "    \"\"\"Generates a DOCX document.\"\"\"\n",
+        "    filename = f\"output_{uuid.uuid4()}.docx\"\n",
+        "    doc = docx.Document()\n",
+        "\n",
+        "    # Add image with size adjustment\n",
+        "    image_sizes = {\n",
+        "        \"Small\": docx.shared.Inches(2),\n",
+        "        \"Medium\": docx.shared.Inches(4),\n",
+        "        \"Large\": docx.shared.Inches(6)\n",
+        "    }\n",
+        "    doc.add_picture(media_path, width=image_sizes[image_size])\n",
+        "    doc.add_paragraph()\n",
+        "\n",
+        "    # Add plain text output\n",
+        "    paragraph = doc.add_paragraph()\n",
+        "    paragraph.paragraph_format.line_spacing = line_spacing\n",
+        "    paragraph.paragraph_format.alignment = {\n",
+        "        \"Left\": WD_ALIGN_PARAGRAPH.LEFT,\n",
+        "        \"Center\": WD_ALIGN_PARAGRAPH.CENTER,\n",
+        "        \"Right\": WD_ALIGN_PARAGRAPH.RIGHT,\n",
+        "        \"Justified\": WD_ALIGN_PARAGRAPH.JUSTIFY\n",
+        "    }[alignment]\n",
+        "    run = paragraph.add_run(plain_text)\n",
+        "    run.font.size = docx.shared.Pt(int(font_size))\n",
+        "\n",
+        "    doc.save(filename)\n",
+        "    return filename\n",
+        "\n",
+        "# CSS for output styling\n",
+        "css = \"\"\"\n",
+        "  #output {\n",
+        "    height: 500px;\n",
+        "    overflow: auto;\n",
+        "    border: 1px solid #ccc;\n",
+        "  }\n",
+        ".submit-btn {\n",
+        "    background-color: #cf3434  !important;\n",
+        "    color: white !important;\n",
+        "}\n",
+        ".submit-btn:hover {\n",
+        "    background-color: #ff2323 !important;\n",
+        "}\n",
+        ".download-btn {\n",
+        "    background-color: #35a6d6 !important;\n",
+        "    color: white !important;\n",
+        "}\n",
+        ".download-btn:hover {\n",
+        "    background-color: #22bcff !important;\n",
+        "}\n",
+        "\"\"\"\n",
+        "\n",
+        "# Gradio app setup\n",
+        "with gr.Blocks(css=css) as demo:\n",
+        "    gr.Markdown(\"# Latexmind\")\n",
+        "\n",
+        "    with gr.Tab(label=\"Image Input\"):\n",
+        "\n",
+        "        with gr.Row():\n",
+        "            with gr.Column():\n",
+        "                model_choice = gr.Dropdown(\n",
+        "                    label=\"Model Selection\",\n",
+        "                    choices=list(MODEL_OPTIONS.keys()),\n",
+        "                    value=\"latexmind\"\n",
+        "                )\n",
+        "                input_media = gr.File(\n",
+        "                    label=\"Upload Image\", type=\"filepath\"\n",
+        "                )\n",
+        "                text_input = gr.Textbox(label=\"Question\", placeholder=\"Ask a question about the image...\")\n",
+        "                submit_btn = gr.Button(value=\"Submit\", elem_classes=\"submit-btn\")\n",
+        "\n",
+        "            with gr.Column():\n",
+        "                output_text = gr.Textbox(label=\"Output Text\", lines=10)\n",
+        "                plain_text_output = gr.Textbox(label=\"Standardized Plain Text\", lines=10)\n",
+        "\n",
+        "        submit_btn.click(\n",
+        "            qwen_inference, [model_choice, input_media, text_input], [output_text]\n",
+        "        ).then(\n",
+        "            lambda output_text: format_plain_text(output_text), [output_text], [plain_text_output]\n",
+        "        )\n",
+        "\n",
+        "        # Add examples directly usable by clicking\n",
+        "        with gr.Row():\n",
+        "            with gr.Column():\n",
+        "                line_spacing = gr.Dropdown(\n",
+        "                    choices=[0.5, 1.0, 1.15, 1.5, 2.0, 2.5, 3.0],\n",
+        "                    value=1.5,\n",
+        "                    label=\"Line Spacing\"\n",
+        "                )\n",
+        "                font_size = gr.Dropdown(\n",
+        "                    choices=[\"8\", \"10\", \"12\", \"14\", \"16\", \"18\", \"20\", \"22\", \"24\"],\n",
+        "                    value=\"18\",\n",
+        "                    label=\"Font Size\"\n",
+        "                )\n",
+        "                alignment = gr.Dropdown(\n",
+        "                    choices=[\"Left\", \"Center\", \"Right\", \"Justified\"],\n",
+        "                    value=\"Justified\",\n",
+        "                    label=\"Text Alignment\"\n",
+        "                )\n",
+        "                image_size = gr.Dropdown(\n",
+        "                    choices=[\"Small\", \"Medium\", \"Large\"],\n",
+        "                    value=\"Small\",\n",
+        "                    label=\"Image Size\"\n",
+        "                )\n",
+        "                file_format = gr.Radio([\"pdf\", \"docx\"], label=\"File Format\", value=\"pdf\")\n",
+        "                get_document_btn = gr.Button(value=\"Get Document\", elem_classes=\"download-btn\")\n",
+        "\n",
+        "        get_document_btn.click(\n",
+        "            generate_document, [input_media, output_text, file_format, font_size, line_spacing, alignment, image_size], gr.File(label=\"Download Document\")\n",
+        "        )\n",
+        "\n",
+        "demo.launch(debug=True)"
+      ]
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "gpuType": "L4",
+      "machine_shape": "hm",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
--- a/merges.txt
+++ b/merges.txt
--- a/model.safetensors
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37aadd0a1bb8146d97a542df025fab9aff89ab77b0dde77a7cbfe6bb7a6405c6
+size 4418050848
--- a/preprocessor_config.json
+++ b/preprocessor_config.json
@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "max_pixels": 12845056,
+    "min_pixels": 3136
+  },
+  "temporal_patch_size": 2
+}
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:948c45c29a91dd2e6ae77d6f5a324a3d408bcca6ad443365b2e79986f1422771
+size 11420540
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,145 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "processor_class": "Qwen2VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
--- a/vocab.json
+++ b/vocab.json
				`@@ -0,0 +1 @@`
				`{"framework": "pytorch", "task": "image-text-to-text", "allow_remote": true}`