Uploading FoodExtract demo app.py

README.md

@@ -1,12 +1,36 @@
 ---
-title: FoodExtract V1
-emoji: 💻
-colorFrom: yellow
-colorTo: green
+title: FoodExtract Fine-tuned LLM Structued Data Extractor
+emoji: 📝➡️🍟
+colorFrom: green
+colorTo: blue
 sdk: gradio
-sdk_version: 6.10.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+"""
+Fine-tuned Gemma 3 270M to extract food and drink items from raw text.
+
+Input can be any form of real text and output will be a formatted string such as the following:
+
+```
+food_or_drink: 1
+tags: fi, re
+foods: tacos, milk, red apple, pineapple, cherries, fried chicken, steak, mayonnaise
+drinks: iced latte, matcha latte
+```
+
+The tags map to the following items:
+
+```
+tags_dict = {'np': 'nutrition_panel',
+ 'il': 'ingredient list',
+ 'me': 'menu',
+ 're': 'recipe',
+ 'fi': 'food_items',
+ 'di': 'drink_items',
+ 'fa': 'food_advertistment',
+ 'fp': 'food_packaging'}
+```
+"""

requirements.txt

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+transformers
+gradio
+torch
+accelerate
+
+```
+# This is formatted as code
+```
+