Uploading FoodExtract demo app.py

app.py

@@ -42,8 +42,6 @@ tokenizer = AutoTokenizer.from_pretrained(
 #     device_map="auto",
 #     attn_implementation="eager"
 # )
-#
-# # Create model pipeline
 # loaded_model_pipeline = pipeline("text-generation",
 #                                  model=loaded_model,
 #                                  tokenizer=tokenizer)
@@ -59,12 +57,12 @@ loaded_model_pipeline = pipeline(
 
 
 # Create the demo
-description = """Extract food and drink items from text with a fine-tuned SLM (Small Language Model) or more specifically a fine-tuned [Gemma 3 270M](https://huggingface.co/google/gemma-3-270m-it).
+description = """텍스트에서 음식과 음료 항목을 추출하는 파인튜닝된 SLM(Small Language Model)
+ - basemodel: [Gemma 3 270M](https://huggingface.co/google/gemma-3-270m-it)
+ - dataset: [FoodExtract-1k 데이터셋](https://huggingface.co/datasets/objects76/FoodExtract-1k)
 
-Our model has been fine-tuned on the [FoodExtract-1k dataset](https://huggingface.co/datasets/objects76/FoodExtract-1k).
-
-* Input (str): Raw text strings or image captions (e.g. "A photo of a dog sitting on a beach" or "A breakfast plate with bacon, eggs and toast")
-* Output (str): Generated text with food/not_food classification as well as noun extracted food and drink items and various food tags.
+* 입력 (str): 원시 텍스트 문자열 또는 이미지 캡션 (예: "항해 앉아 있는 개의 사진" 또는 "베이컨, 계란, 토스트가 있는 아침 식사")
+* 출력 (str): 음식/비음식 분류와 추출된 명사형 음식 및 음료 항목, 다양한 음식 태그가 포함된 생성 텍스트
 
 For example:
 
@@ -87,7 +85,7 @@ demo = gr.Interface(fn=pred_on_text,
                     title="🍳 Structured FoodExtract with a Fine-Tuned Gemma 3 270M",
                     description=description,
                     examples=[["Hello world! This is my first fine-tuned LLM!"],
-                              ["A plate of food with grilled barramundi, salad with avocado, olives, tomatoes and Italian dressing"],
+                              ["그릴에 구운 바라문디와 아보카도, 올리브, 토마토, 이탈리안 드레싱이 곁들여진 샐러드가 있는 한 접시 음식"],
                               ["British Breakfast with baked beans, fried eggs, black pudding, sausages, bacon, mushrooms, a cup of tea and toast and fried tomatoes"],
                               ["Steak tacos"],
                               ["A photo of a dog sitting on a beach"]]