Update app.py

app.py

@@ -46,8 +46,7 @@ def generate_text() -> str:
 
 
 def push_to_hub(commit_message):
-    repo.git_pull()  # Make sure to pull the latest changes
-    repo.git_add(os.path.join("data", DATA_FILENAME))  # Add the updated data file to the staged changes
+    repo.git_add(DATA_FILE)  # Add the updated data file to the staged changes
     repo.git_commit(commit_message)  # Commit the changes
     repo.push_to_hub(token=HF_TOKEN)  # Push the changes to the remote repository
 
@@ -58,8 +57,8 @@ def store_message(chatinput: str, chatresponse: str):
             file.write(f"{datetime.now()},{chatinput},{chatresponse}\n")
             print(f"Wrote to datafile: {datetime.now()},{chatinput},{chatresponse}\n")
 
-        # Push back to hub every 3th time the function is called
-    if store_message.count_calls % 3 == 0:
+        # Push back to hub every 2ND time the function is called
+    if store_message.count_calls % 2 == 0:
         print("Pushing back to Hugging Face model hub")
         # Call the push_to_hub() function to push the changes to the hub
         push_to_hub(commit_message="Added new chat data")
@@ -81,7 +80,7 @@ def get_index(index_file_path):
 
 index = get_index(INDEX_FILE)
 
-# passes the prompt to the chatbot
+# passes the prompt to the chatbot, queries the index, stores the output, returns the response
 def chatbot(input_text, mentioned_person='Mediator John Haynes', confidence_threshold=0.5):
     prompt = f"You are {mentioned_person}. Answer this: {input_text}. Only reply from the contextual data, or say you don't know. At the end of your answer ask an insightful question."
     response = index.query(prompt, response_mode="default")