Update app.py

app.py

@@ -1,46 +1,20 @@
 import gradio
-import openai 
+import openai
 
 openai.api_key = "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"
 
-# Define initial intro message
-messages = [{"role": "system", "content": "Welcome to Twitter Tweets Pro! Our AI-powered Twitter expert specializes in creating viral tweets for startup marketing and updates."}]
+messages = [{"role": "system", "content": "You are a Twitter Tweets experts that specializes in creating viral tweets for startup marketing and update"}]
 
-# Define function to generate responses to user input
 def CustomChatGPT(user_input):
-    messages.append({"role": "user", "content": user_input})
-    
-    # Generate response using OpenAI Chat API
-    response = openai.Completion.create(
-        engine="text-davinci-002",
-        prompt="Tweet: " + user_input,
-        max_tokens=60,
-        n=1,
-        stop=None,
-        temperature=0.5,
-    )
-    
-    # Extract generated tweet from API response
-    tweet = response.choices[0].text
-    
-    # Add generated tweet to message history
-    messages.append({"role": "assistant", "content": tweet})
-    
-    # Return generated tweet
-    return tweet
-
-# Define Gradio user interface
- interface = gradio.Interface(
-    fn=CustomChatGPT,
-    inputs="text",
-    outputs="text",
-    title="Twitter Tweets Pro",
-    description="Enter a prompt for your tweet below. The generated tweet will be displayed in the output section.",
-    examples=[
-        ["I just launched my startup!"],
-        ["What's the best way to market my business?"],
-        ["How can I increase my social media following?"],
-    ],
+messages.append({"role": "user", "content": user_input})
+response = openai.ChatCompletion.create(
+model = "gpt-3.5-turbo",
+messages = messages
 )
-# Launch Gradio interface
-interface.launch()
+ChatGPT_reply = response["choices"][0]["message"]["content"]
+messages.append({"role": "assistant", "content": ChatGPT_reply})
+return ChatGPT_reply
+
+demo = gradio.Interface(fn=CustomChatGPT, inputs="text", outputs="text", title="Twitter Tweets Pro")
+
+demo.launch()