Update app.py

app.py

@@ -201,7 +201,7 @@ def save_feedback(inputs):
     with open('feedback.txt', 'a+') as f:
         f.write(inputs+'\n')
     return "Thanks your advice!"
-        
+
 
 feedback_data = []
 def chatbot_respond(message, history=[]):
@@ -219,15 +219,12 @@ def downvote(vote_id):
     print(f"Current feedback data: {feedback_data}")
     return "You disliked this prediction"
 
-        
+
 # Define the FAPM interface
 description = """Quick demonstration of the FAPM model for protein function prediction. Upload an protein sequence to generate a function description. Modify the Prompt to provide the taxonomy information.
-
 Our paper is available at [BioRxiv](https://www.biorxiv.org/content/10.1101/2024.05.07.593067v1)
-
 The model used in this app is available at [Hugging Face Model Hub](https://huggingface.co/wenkai/FAPM) and the source code can be found on [GitHub](https://github.com/xiangwenkai/FAPM/tree/main).
-
-Thanks for the support from ProtonUnfold Tech.  Co., Ltd (https://www.protonunfold.com/)."""
+Thanks for the support from ProtonUnfold Tech.  Co., Ltd (https://www.protonunfold.com/)."""
 
 # iface = gr.Interface(
 #     fn=generate_caption,
@@ -321,5 +318,3 @@ with gr.Blocks(css=css) as demo:
         feedback_btn.click(save_feedback, [inputs], [feedback_markdown])
 
 demo.launch(debug=True)
-
-