Update app.py

app.py

@@ -6,15 +6,15 @@ import numpy as np
 import zipfile
 import os
 
-# 🔓 Unzip examples.zip if not already extracted
+# 🔓 Automatically unzip example images if needed
 if not os.path.exists("examples") and os.path.exists("examples.zip"):
     with zipfile.ZipFile("examples.zip", 'r') as zip_ref:
         zip_ref.extractall("examples")
 
-# 🧠 Load trained model
+# 🧠 Load model
 model = tf.keras.models.load_model("efficientnet_final_model.keras")
 
-# 🍃 Class names
+# 🍃 Disease class labels
 CLASS_NAMES = [
     "Pomegranate__diseased", "mango_Sooty Mould", "mango_Powdery Mildew", 
     "mango_Healthy", "mango_Gall Midge", "mango_Die Back", 
@@ -31,12 +31,10 @@ def predict_disease(img):
     img_array = image.img_to_array(img)
     img_array = preprocess_input(img_array)
     img_array = np.expand_dims(img_array, axis=0)
-
     prediction = model.predict(img_array)[0]
     top_idx = np.argmax(prediction)
     confidence = prediction[top_idx] * 100
     label = CLASS_NAMES[top_idx]
-
     return f"{label} ({confidence:.2f}%)"
 
 # 🎛️ Gradio Interface
@@ -45,16 +43,23 @@ interface = gr.Interface(
     inputs=gr.Image(type="pil"),
     outputs="text",
     title="🌿 Fruit Leaf Disease Classifier",
-    description="Upload a fruit or leaf image to predict its disease type.",
+    description="Upload an image of a fruit or leaf to detect its disease type.",
+    allow_flagging="never"
+)
+
+# 🖼️ Show image examples using Gradio v4+ Examples class
+interface.examples = gr.Examples(
     examples=[
-        ["examples/Phytopthora.jpg"],
-        ["examples/RedRust.jpg"],
-        ["examples/HealthyMangoLeaf.jpg"],
-        ["examples/LimeLeafSpotted.jpg"]
+        ["examples/Phytopthora (97).jpg"],
+        ["examples/Red Rust(60).jpg"],
+        ["examples/20211231_162315 (Custom).jpg"],
+        ["examples/0021_0060.jpg"]
     ],
-    cache_examples=False  # ✅ Fixes caching issue on Hugging Face
+    inputs=interface.input_components,
+    cache_examples=False
 )
 
+# 🚀 Launch the app
 if __name__ == "__main__":
     interface.launch()