Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+import joblib  # Replace with your model loading library
+
+# Load pre-trained model
+model = joblib.load("diagnostic_model.pkl")
+
+# Define the prediction function
+def predict_disease(symptoms):
+    prediction = model.predict([symptoms])[0]
+    return f"Predicted Diagnosis: {prediction}"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=predict_disease, 
+    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter symptoms..."), 
+    outputs=gr.outputs.Textbox(label="Diagnosis")
+)
+
+# Launch the interface
+interface.launch()