Uploading food not food text classifier demo app.py

app.py

@@ -25,19 +25,12 @@ def food_not_food_classifier(text: str) -> Dict[str, float]:
     return output_dict
 
 # 3. Create a Gradio interface with details about our app
-description = """
-A text classifier to determine if a sentence is about food or not food. 
-
-Fine-tuned from [DistilBERT](https://huggingface.co/distilbert/distilbert-base-uncased) on a [small dataset of food and not food text](https://huggingface.co/datasets/mrdbourke/learn_hf_food_not_food_image_captions).
-
-See [source code](https://github.com/mrdbourke/learn-huggingface/blob/main/notebooks/hugging_face_text_classification_tutorial.ipynb).
-"""
 
 demo = gr.Interface(fn=food_not_food_classifier, 
              inputs="text", 
              outputs=gr.Label(num_top_classes=2), # show top 2 classes (that's all we have)
-             title="🍗🚫🥑 Food or Not Food Text Classifier",
-             description=description,
+             title="Food or Not Food Text Classifier",
+             description="一个用于判断句子是否与食物相关的文本分类器（食物/非食物二分类）",
              examples=[["I whipped up a fresh batch of code, but it seems to have a syntax error."],
                        ["A delicious photo of a plate of scrambled eggs, bacon and toast."]])