Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+import google.cloud.aiplatform as aiplatform
+
+# Initialize Vertex AI
+aiplatform.init(project='318551047592', location='us-central1')
+endpoint = aiplatform.Endpoint('4054023616424050688')  # Replace with your endpoint ID
+
+def predict(text):
+    response = endpoint.predict(instances=[{"text": text}])
+    response1= response.predictions[0]
+    response2= response1['prediction']
+    return response2
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(
+        lines=3, 
+        placeholder="Ask your question about diabetes..."
+    ),
+    outputs=gr.Textbox(label="Response"),
+    title="Diabetica Medical Assistant",
+    description="Ask questions about diabetes and get responses from our medical AI assistant.",
+    examples=[
+        ["What are the early symptoms of diabetes?"],
+        ["How is Type 2 diabetes diagnosed?"],
+        ["What lifestyle changes can help manage diabetes?"]
+    ],
+    theme="default"
+)
+
+# Launch the app
+interface.launch(server_name="0.0.0.0", server_port=8082)