Update app.py

app.py

@@ -79,7 +79,7 @@ def transcribe(audio, text):
 
         # Upload the chat transcript to Notion
         df = pd.DataFrame([chat_transcript])
-        notion_df.upload(df, 'https://www.notion.so/page-827360c361f347f7bfefcc6dfbd10e51', title=str(published_date+'back_up'), api_key=API_KEY)
+        notion_df.upload(df, 'https://www.notion.so/YENA-be569d0a40c940e7b6e0679318215790?pvs=4', title=str(published_date+'back_up'), api_key=API_KEY)
 
         # Reset the messages list and answer counter
         messages = [initial_message]
@@ -107,9 +107,9 @@ def transcribe(audio, text):
     # Concatenate the chat history
     chat_transcript = "\n\n".join([f"[ANSWER {answer_count}]{message['role']}: {message['content']}" for message in messages if message['role'] != 'system'])
 
-    chat_transcript_copy = chat_transcript
+    # chat_transcript_copy = chat_transcript
     # Append the number of tokens used to the end of the chat transcript
-    chat_transcript_copy += f"\n\nNumber of tokens used: {num_tokens}\n\n"
+    chat_transcript += f"\n\nNumber of tokens used: {num_tokens}\n\n"
     
     # Save the chat transcript to a file
     with open("conversation_history.txt", "a") as f:
@@ -118,11 +118,11 @@ def transcribe(audio, text):
     # Upload the chat transcript to Notion
     now_et = datetime.now(timezone(timedelta(hours=-5)))
     published_date = now_et.strftime('%m-%d-%y %H:%M')
-    df = pd.DataFrame([chat_transcript_copy])
-    notion_df.upload(df, 'https://www.notion.so/page-827360c361f347f7bfefcc6dfbd10e51', title=str(published_date), api_key=API_KEY)
+    df = pd.DataFrame([chat_transcript])
+    notion_df.upload(df, 'https://www.notion.so/YENA-be569d0a40c940e7b6e0679318215790?pvs=4', title=str(published_date), api_key=API_KEY)
 
     # Return the chat transcript
-    return chat_transcript
+    return system_message
     
 # Define the input and output components for Gradio
 audio_input = Audio(source="microphone", type="filepath", label="Record your message")