Create gradio_interface.py

This file handles the Gradio UI setup for the chatbot and connects to the same AI model backend.

gradio_interface.py

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+import gradio as gr
+from ai_model import query_ai_model  # Import AI model query function
+
+# Function to handle chatbot conversation
+async def gradio_chatbot(text, history):
+    history.append((text, None))
+    response = await query_ai_model(text)
+    history[-1] = (text, response)
+    return history
+
+# Gradio interface
+def create_gradio_interface():
+    chatbot = gr.Chatbot()
+    textbox = gr.Textbox(placeholder="Ask a question and press Enter", show_label=False)
+    
+    # Set up the Gradio interface layout
+    with gr.Blocks() as demo:
+        gr.HTML("<h1>Unified Gemini Chatbot</h1>")
+        chatbot.render()
+        textbox.render()
+
+        # Bind input textbox to chatbot response
+        textbox.submit(
+            fn=gradio_chatbot,
+            inputs=[textbox, chatbot],
+            outputs=chatbot
+        )
+
+    return demo
+
+# Launch Gradio interface
+def run_gradio_interface():
+    interface = create_gradio_interface()
+    interface.launch(share=True, debug=True)