Create app.py

app.py

@@ -0,0 +1,26 @@
+# prompt: use this model, https://huggingface.co/liriope/PlantDiseaseDetection, create app.py for implementing this on gradio
+
+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained model
+pipe = pipeline("image-classification", model="liriope/PlantDiseaseDetection")
+
+def classify_image(image):
+    predictions = pipe(image)
+    result = ""
+    for pred in predictions:
+        label = pred["label"]
+        score = pred["score"]
+        result += f"{label}: {score:.4f}\n"
+    return result
+
+iface = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Plant Disease Classifier",
+    description="Upload an image to classify the plant disease.",
+)
+
+iface.launch(debug=True)