Update app.py

app.py

@@ -3,19 +3,45 @@ import openai
 
 openai.api_key = "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"
 
-messages = [{"role": "system", "content": "You are a Twitter Tweets experts that specializes in creating viral tweets for startup marketing and update"}]
+# 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."}]
 
+# Define function to generate responses to user input
 def CustomChatGPT(user_input):
     messages.append({"role": "user", "content": user_input})
-    response = openai.ChatCompletion.create(
-        model = "gpt-3.5-turbo",
-        messages = messages
+    
+    # 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,
     )
-    ChatGPT_reply = response["choices"][0]["message"]["content"]
-    messages.append({"role": "assistant", "content": ChatGPT_reply})
-    return ChatGPT_reply
+    
+    # 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
 
-demo = gradio.Interface(fn=CustomChatGPT, inputs="text", outputs="text", title="Twitter Tweets Pro")
-
-demo.launch()
+# 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?"],
+    ],
+)
 
+# Launch Gradio interface
+interface.launch()