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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()
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