removed audio

app.py

@@ -65,7 +65,8 @@ llm = Llama.from_pretrained(
 )
 
 #marketing prompt
-marketing_email_prompt = """Below is a product and description, please write a marketing email for this product.
+marketing_email_prompt = """Your go-to Email Marketing Guru - I'm here to help you craft short and concise compelling campaigns, boost conversions, and take your business to the next level.
+Below is a product and description, please write a marketing email for this product.
 
 ### Product:
 {}
@@ -87,12 +88,11 @@ async def greet(product,description):
         messages=[
             {
             "role": "user",
-            "content": user_reques
+            "content": product+"\n"+description
             }
         ],
         model="llama-guard-3-8b",
     )
-    print(chat_completion)
     warning_message = chat_completion.choices[0].message.content
     if warning_message != 'safe':
         #processed_audio = combine_audio_files(text_to_speech([chat_completion.choices[0].message.content]))
@@ -100,13 +100,9 @@ async def greet(product,description):
     else:
         output = llm.create_chat_completion(
         messages=[
-            {
-                "role": "system",
-                "content": "Your go-to Email Marketing Guru - I'm here to help you craft short and concise compelling campaigns, boost conversions, and take your business to the next level.",
-            },
             {"role": "user", "content":  user_reques},
         ],
-        max_tokens=2048,
+        max_tokens=1024,
         temperature=0.7,
         stream=True
         )
@@ -120,6 +116,5 @@ async def greet(product,description):
                 partial_message = partial_message + delta.get('content', '')
                 yield partial_message
 
-audio = gr.Audio()
 demo = gr.Interface(fn=greet, inputs=["text","text"], outputs=["text"])
 demo.launch()