added api endpoint for frontend app

app.py

@@ -1,20 +1,25 @@
 import gradio as gr
 from transformers import pipeline
-from PIL import Image  # ✅ make sure PIL is imported
+from PIL import Image
 
 # Load your model
 model = pipeline("image-classification", model="wellCh4n/tomato-leaf-disease-classification-vit")
 
+# Define the prediction function
 def classify(image):
     if not isinstance(image, Image.Image):
-        image = Image.fromarray(image)  # fallback, just in case
+        image = Image.fromarray(image)
     result = model(image)
-    return result[0]['label']  # return top label
+    return result[0]['label']  # You can also return full result if you want scores
 
-gr.Interface(
+# Define the interface
+app = gr.Interface(
     fn=classify,
     inputs=gr.Image(type="pil"),
     outputs="label",
     title="Tomato Leaf Disease Analyzer",
     description="Upload a tomato leaf image to detect the disease."
-).launch()
+)
+
+# 🚀 Enable both UI and API
+app.launch(show_api=True)