Create app.py

app.py

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+import openai
+import gradio as gr
+import os
+
+# Get OpenAI API key from environment variables
+openai.api_key = os.getenv('OPENAI_API_KEY')
+
+# Function to communicate with OpenAI GPT model and maintain chat history
+def openai_chat(messages, user_input):
+    messages.append({"role": "user", "content": user_input})
+    
+    response = openai.ChatCompletion.create(
+        model="gpt-4o",  # or use "gpt-3.5-turbo"
+        messages=messages
+    )
+    
+    bot_message = response['choices'][0]['message']['content']
+    messages.append({"role": "assistant", "content": bot_message})
+    
+    # Prepare the chat history for display in the Gradio Chatbot
+    chat_history = [(msg['content'] if msg['role'] == 'user' else None, 
+                     msg['content'] if msg['role'] == 'assistant' else None) for msg in messages]
+    
+    return chat_history, messages
+
+# Creating Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("### OpenAI Chatbot with Gradio Chatbox")
+    
+    chatbot = gr.Chatbot(label="Chat History")
+    user_input = gr.Textbox(label="Your Message")
+    
+    # Keep track of the message history
+    state = gr.State([])  # Empty list to store the message history
+    
+    # Submit button
+    submit_btn = gr.Button("Send")
+    
+    # Define interaction logic
+    submit_btn.click(openai_chat, 
+                     inputs=[state, user_input], 
+                     outputs=[chatbot, state])
+
+# Launch the interface
+demo.launch()