Delete app.py

app.py

@@ -1,27 +0,0 @@
-
-from gradio import Interface, Image, Label
-import tensorflow as tf
-# Load your TensorFlow model
-model = tf.keras.models.load_model("mango-leaf-disease-detection.ipynb")
- #Define your class names if needed
-class_names = ['Anthracnose', 'Bacterial Canker', 'Cutting Weevil', 'Die Back', 'Gall Midge','Healthy','Powdery Mildew','Sooty Mould']
-
-
-# Function to make predictions
-def classify_image(image):
-    # Preprocess the image
-    img = tf.image.resize(image, (224, 224))
-    img = tf.expand_dims(img, 0)  # Add batch dimension
-    # Make prediction
-    prediction = model.predict(img)
-    predicted_class = class_names[prediction.argmax()]
-    return predicted_class
-
-# Gradio interface
-image = Image()  # Remove the `shape` argument
-label = Label()
-
-# Create interface
-interface = Interface(classify_image, image, label,
-                      title="MANGO_LEAF_DISEASE_DETECTION",
-                      description="Upload an image of a leaf to detect its disease.").launch()