[Feat/WIP] add llava-onevision, with support for (1) siglip encoder, (2) qwen2 decoder (3) openai api compatible server. (#1123)

Co-authored-by: Bo Li <drluodian@gmail.com>

examples/usage/llava_video/srt_example_llava_v.py

@@ -121,6 +121,20 @@ def batch(video_dir, save_dir, cur_chunk, num_chunks, num_frames=16, batch_size=
 
 if __name__ == "__main__":
 
+    url = "https://raw.githubusercontent.com/EvolvingLMMs-Lab/sglang/dev/onevision_local/assets/jobs.mp4"
+
+    cache_dir = os.path.expanduser("~/.cache")
+    file_path = os.path.join(cache_dir, "jobs.mp4")
+
+    os.makedirs(cache_dir, exist_ok=True)
+
+    response = requests.get(url)
+    response.raise_for_status()  # Raise an exception for bad responses
+
+    with open(file_path, "wb") as f:
+        f.write(response.content)
+
+    print(f"File downloaded and saved to: {file_path}")
     # Create the parser
     parser = argparse.ArgumentParser(
         description="Run video processing with specified port."
@@ -148,7 +162,7 @@ if __name__ == "__main__":
     parser.add_argument(
         "--video-dir",
         type=str,
-        default="./videos/Q98Z4OTh8RwmDonc.mp4",
+        default=os.path.expanduser("~/.cache/jobs.mp4"),
         help="The directory or path for the processed video files.",
     )
     parser.add_argument(