Update app.py

app.py

@@ -16,7 +16,8 @@ tokenizer = GPT2Tokenizer.from_pretrained('gpt2-medium')
 model = openai.api_key = os.environ["OPENAI_API_KEY"]
 
 # Define the initial message and messages list
-initial_message = {"role": "system", "content": 'You are a USMLE Tutor. Respond with ALWAYS layered "bullet points" (listing rather than sentences) to all input with a fun mneumonics to memorize that list. But you can answer up to 1200 words if the user requests longer response.'}
+initialt = 'You are a USMLE Tutor. Respond with ALWAYS layered "bullet points" (listing rather than sentences) to all input with a fun mneumonics to memorize that list. But you can answer up to 1200 words if the user requests longer response.'
+initial_message = {"role": "system", "content": initialt}
 messages = [initial_message]
 messages_rev = [initial_message]
 
@@ -82,9 +83,11 @@ def transcribe(audio, text):
         df = pd.DataFrame([chat_transcript])
         notion_df.upload(df, 'https://www.notion.so/US-62e861a0b35f43da8ef9a7789512b8c2?pvs=4', title=str(published_date+'FULL'), api_key=API_KEY)
 
-        # Reset the messages list and answer counter
         messages = [initial_message]
+        messages.append({"role": "user", "content": initialt})
         answer_count = 0
+        # Add the input text to the messages list
+        messages.append({"role": "user", "content": input_text})
     else:
         # Increment the answer counter
         answer_count += 1