Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import google.generativeai as genai
+
+# Configure Gemini API
+genai.configure(api_key='AIzaSyBIPYXqIvI1X6unKTbuWqcVfNFCePr8_sQ')
+model = genai.GenerativeModel('gemini-pro')
+
+def generate_response(user_message):
+    try:
+        # Use Gemini API to generate a response
+        response = model.generate_content(user_message)
+
+        # Check if the response has text
+        if response.text:
+            return response.text
+        else:
+            return "Error: The model generated an empty response."
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_response,
+    inputs=gr.Textbox(lines=2, placeholder="Enter your question here..."),
+    outputs=gr.Textbox(label="Gemini's Response"),
+    title="Gemini QA System",
+    description="Ask a question and get an answer from Gemini AI.",
+    examples=[
+        ["What is the capital of France?"],
+        ["Explain quantum computing in simple terms."]
+    ]
+)
+
+# Launch the interface
+iface.launch(debug=True)