Update app.py

app.py

@@ -1,38 +1,29 @@
 import gradio as gr
 import openai
 
-# Set your OpenAI API key
+# Set your OpenAI API key here
 openai.api_key = "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"
 
-# Function to generate response from OpenAI's GPT model
-def respond(message, conversation_history=[]):
-    # Append user input to the conversation history
-    conversation_history.append({"role": "user", "content": message})
-    
-    # Call the OpenAI API for a response
-    response = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=conversation_history
-    )
-    
-    # Extract the chatbot's response
-    bot_response = response['choices'][0]['message']['content']
-    
-    # Append the bot's response to the conversation history
-    conversation_history.append({"role": "assistant", "content": bot_response})
-    
-    # Return the bot's response
-    return bot_response
+def generate_response(message):
+    try:
+        # Call the OpenAI API to get a response
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": message}],
+            max_tokens=150
+        )
+        return response['choices'][0]['message']['content'].strip()
+    except Exception as e:
+        return str(e)
 
-# Gradio interface setup
+# Create the Gradio interface
 iface = gr.Interface(
-    fn=respond,
-    inputs=gr.Textbox(placeholder="Type your message here..."),
-    outputs=gr.Textbox(),
+    fn=generate_response,
+    inputs=gr.inputs.Textbox(placeholder="Type your message here...", label="Message"),
+    outputs="text",
     title="Real-Time Chatbot with GPT-3.5",
     description="Ask any question or start a conversation. Powered by OpenAI GPT-3.5-turbo."
 )
 
-# Launch the Gradio interface
-if __name__ == "__main__":
-    iface.launch()
+# Launch the interface
+iface.launch()