Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import from_pretrained_fastai
+
+# Load the model from Hugging Face Hub
+learn = from_pretrained_fastai("hugginglearners/brain-tumor-detection-mri")
+
+# Define the prediction function
+def predict(img):
+    # Assuming input is an image, convert it into the format required by the model
+    pred_class, _, probs = learn.predict(img)
+    return {str(pred_class): float(probs.max())}
+
+# Create the Gradio interface
+iface = gr.Interface(fn=predict, inputs="image", outputs="label", 
+                     title="Brain Tumor Detection",
+                     description="Upload an MRI scan to detect brain tumors")
+
+# Launch the interface
+iface.launch()