Update app.py

app.py

@@ -8,7 +8,22 @@ openai.api_key = os.environ.get("openai_api_key")
 
 # Define a function to generate responses using GPT-3.5 Turbo
 def generate_response(user_prompt):
-    response = openai.Completion.create(
+    # response = openai.ChatCompletion.create(
+    # engine="gpt432k",  #engine = "leadership",
+    # messages=[
+    #     {"role": "system", "content": "You are a helpful assistant."},
+       
+    #       {"role": "user", "content": prompt}
+    # ],
+    # temperature=0,
+    #     max_tokens=200
+    #     # stream = True
+        
+    # )
+    # text = response['choices'][0]['message']['content']
+   
+    # return text
+    response = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",  # Use GPT-3.5 Turbo engine
         prompt= f'''I will give you a question and you detect which category does this question belong to. It should be from these categories - 
         physical activity, sleep, nutrition and preventive care. Make sure you just reply with response in json format "category":"[sleep,nutrition]". 
@@ -16,7 +31,7 @@ def generate_response(user_prompt):
         Question: {user_prompt}''',
         max_tokens=100,  # You can adjust this to limit the response length
     )
-    return response.choices[0].text
+    return response['choices'][0]['message']['content']
 
 # Create a Gradio interface
 iface = gr.Interface(