Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from PIL import Image
+from model import predict
+
+def predict_crop(image, crop_name):
+    if image is None or not crop_name:
+        return {"error": "Image and crop_name are required"}
+
+    prediction, confidence = predict(image, crop_name)
+
+    return {
+        "prediction": prediction,
+        "confidence": confidence
+    }
+
+gr.Interface(
+    fn=predict_crop,
+    inputs=[
+        gr.Image(type="pil"),
+        gr.Textbox(label="Crop Name (banana, tomato, rice)")
+    ],
+    outputs="json",
+    api_name="/predict_crop",
+    title="LeafBuddy Crop Disease Detection"
+).launch()