初始化项目，由ModelHub XC社区提供模型

Model: mrdbourke/FoodExtract-gemma-3-270m-fine-tune-v1
Source: Original Platform

helper_functions.py

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+def condense_output(original_output):
+    """Helper function to condense a given FoodExtract string.
+
+    Example input: {'is_food_or_drink': True, 'tags': ['fi'], 'food_items': ['cape gooseberries', 'mulberry', 'chilli powder', 'flathead lobster', 'hoisin sauce', 'duck leg', 'chestnuts', 'raw quail', 'duck breast', 'rogan josh curry sauce', 'brown rice', 'dango'], 'drink_items': []}
+
+    Example output: food_or_drink: 1\ntags: fi\nfoods: cape gooseberries, mulberry, chilli powder, flathead lobster, hoisin sauce, duck leg, chestnuts, raw quail, duck breast, rogan josh curry sauce, brown rice, dango\ndrinks:"""
+
+    condensed_output_string_base = '''food_or_drink: <is_food_or_drink>
+    tags: <output_tags>
+    foods: <food_items>
+    drinks: <drink_items>'''
+
+    is_food_or_drink = str(1) if str(original_output["is_food_or_drink"]).lower() == "true" else str(0)
+    tags = ", ".join(original_output["tags"]) if len(original_output["tags"]) > 0 else ""
+    foods = ", ".join(original_output["food_items"]) if len(original_output["food_items"]) > 0 else ""
+    drinks = ", ".join(original_output["drink_items"]) if len(original_output["drink_items"]) > 0 else ""
+
+    condensed_output_string_formatted = condensed_output_string_base.replace("<is_food_or_drink>", is_food_or_drink).replace("<output_tags>", tags).replace("<food_items>", foods).replace("<drink_items>", drinks)
+
+    return condensed_output_string_formatted.strip()
+
+def uncondense_output(condensed_output):
+    """Helper to go from condensed output to uncondensed output.
+
+    Example input: food_or_drink: 1\ntags: fi\nfoods: cape gooseberries, mulberry, chilli powder, flathead lobster, hoisin sauce, duck leg, chestnuts, raw quail, duck breast, rogan josh curry sauce, brown rice, dango\ndrinks:
+
+    Example output: {'is_food_or_drink': True, 'tags': ['fi'], 'food_items': ['cape gooseberries', 'mulberry', 'chilli powder', 'flathead lobster', 'hoisin sauce', 'duck leg', 'chestnuts', 'raw quail', 'duck breast', 'rogan josh curry sauce', 'brown rice', 'dango'], 'drink_items': []}
+    """
+
+    condensed_list = condensed_output.split("\n")
+
+    condensed_dict_base = {
+        "is_food_or_drink": "",
+        "tags": [],
+        "food_items": [],
+        "drink_items": []
+    }
+
+    # Set values to defaults
+    food_or_drink_item = None
+    tags_item = None
+    foods_item = None
+    drinks_item = None
+
+    # Extract items from condensed_list
+    for item in condensed_list:
+        if "food_or_drink:" in item.strip():
+            food_or_drink_item = item
+
+        if "tags:" in item:
+            tags_item = item
+
+        if "foods:" in item:
+            foods_item = item
+
+        if "drinks:" in item:
+            drinks_item = item
+
+    if food_or_drink_item:
+        is_food_or_drink_bool = True if food_or_drink_item.replace("food_or_drink: ", "").strip() == "1" else False
+    else:
+        is_food_or_drink_bool = None
+
+    if tags_item:
+        tags_list = [item.replace("tags: ", "").replace("tags:", "").strip() for item in tags_item.split(", ")]
+        tags_list = [item for item in tags_list if item] # Filter for empty items
+    else:
+        tags_list = []
+
+    if foods_item:
+        foods_list = [item.replace("foods:", "").replace("foods: ", "").strip() for item in foods_item.split(", ")]
+        foods_list = [item for item in foods_list if item] # Filter for empty items
+    else:
+        foods_list = []
+
+    if drinks_item:
+        drinks_list = [item.replace("drinks:", "").replace("drinks: ", "").strip() for item in drinks_item.split(", ")]
+        drinks_list = [item for item in drinks_list if item] # Filter for empty items
+    else:
+        drinks_list = []
+
+    condensed_dict_base["is_food_or_drink"] = is_food_or_drink_bool
+    condensed_dict_base["tags"] = tags_list
+    condensed_dict_base["food_items"] = foods_list
+    condensed_dict_base["drink_items"] = drinks_list
+
+    return condensed_dict_base