Delete app.py

app.py

@@ -1,28 +0,0 @@
-import gradio as gr
-import tensorflow as tf
-from PIL import Image
-import numpy as np
-
-# Lade das Modell
-model = tf.keras.models.load_model("fruit_classifier_model.keras")
-
-class_names = ['Apple', 'Banana', 'Grapes', 'Kiwi', 'Orange', 'Pineapple', 'Strawberries']
-
-def classify_fruit(image):
-    image = Image.fromarray(image).resize((224, 224))
-    image = np.array(image) / 255.0
-    image = np.expand_dims(image, axis=0)
-    predictions = model.predict(image)[0]
-    
-    results = {class_name: float(predictions[i]) for i, class_name in enumerate(class_names)}
-    return results
-
-interface = gr.Interface(
-    fn=classify_fruit,
-    inputs=gr.Image(),
-    outputs=gr.Label(num_top_classes=3),
-    live=True
-)
-
-if __name__ == "__main__":
-    interface.launch()