Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the image classification model
+image_classification = pipeline("image-classification", model="ombhojane/healthyPlantsModel")
+
+# Function to predict labels for the given image URL
+def predict_labels(image_url):
+    result = image_classification(image_url)
+    return result[0]
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=predict_labels,
+    inputs=gr.Image(type="url", label="Input Image URL"),
+    outputs=gr.Textbox(label="Predicted Label"),
+    live=True
+)
+
+# Launch the Gradio interface
+iface.launch()