Update app.py

app.py

@@ -20,6 +20,7 @@ tokenizer = GPT2Tokenizer.from_pretrained('gpt2-medium')
 model = openai.api_key = os.environ["OPENAI_API_KEY"]
 
 # Define the initial message and messages list
+initmessage = '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": '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.'}
 messages = [initial_message]
 messages_rev = [initial_message]
@@ -86,6 +87,7 @@ def transcribe(audio, text):
     chat_transcript = ''
     
     for tokens in subinput_tokens:
+        messages.append[{"role": "user", "content": initmessage}]
         # Decode the tokens into text
         subinput_text = tokenizer.decode(tokens)
         messages.append({"role": "user", "content": transcript["text"]+str(subinput_text)})
@@ -106,7 +108,7 @@ 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)
             counter += 1
-            messages = [{"role": "system", "content": initial_message}]
+            messages = [{"role": "system", "content": initmessage}]
             messages = [{"role": "user", "content": subinput_text}]
             answer_count = 0