Upload app.py

app.py

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+import gradio as gr
+from model import predict_fruit_type
+
+def predict(img):
+    return predict_fruit_type(img)
+    
+
+interface_options = {
+    "title": "Blueberries, Avacados or Dragon Fruit?",
+    "description": "Yoooo this is my college assignment. A VGG-16 model that predicts the fruit type.",
+    # "interpretation": "default",
+    "layout": "horizontal",
+    "examples": [
+        "./blue_berry_1.jpg", "./avacado_1.jpg",
+        "./dragon_fruit_1.jpg", './cranberry_1.jpg',
+        './jackfruit_1.jpg', './muskmelon_1.jpg',
+        './pineapple_1.jpg', './banana_1.jpg',
+        './orange_1.jpg', './watermelon_1.jpg',
+    ],
+    "allow_flagging": "never",
+}
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(480, 480)),
+    outputs=gr.outputs.Textbox(type="auto", label=None),
+    **interface_options,
+)
+
+demo.launch(share=False)