Update app.py

app.py

@@ -6,7 +6,7 @@ from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_huggingface import HuggingFaceEndpoint
 from langchain.prompts import PromptTemplate
 from langchain.chains import LLMChain, RetrievalQA
-from huggingface_hub import login, Repository
+from huggingface_hub import login
 
 # Login to Hugging Face
 login(token=st.secrets["HF_TOKEN"])
@@ -75,10 +75,6 @@ def chatbot_response(user_input):
     response = qa.run(user_input)
     return response
 
-# Initialize the repository
-repo_id = "mery22/testing"  # Replace with your repo ID
-repo = Repository(local_dir=".", clone_from=repo_id, token=st.secrets["HF_TOKEN"])
-
 # Define function to save feedback to CSV
 def save_feedback(question, response, rating, comment):
     try:
@@ -93,9 +89,6 @@ def save_feedback(question, response, rating, comment):
                 writer.writeheader()
             writer.writerow({'question': question, 'response': response, 'rating': rating, 'comment': comment})
 
-        # Push the updated file to the Hugging Face repository
-        repo.push_to_hub(commit_message="Updated feedback")
-
         st.success("Thank you for your feedback! It has been saved.")
     except Exception as e:
         st.error(f"Error saving feedback: {e}")