Delete app.py

app.py

@@ -1,21 +0,0 @@
-
-import tensorflow
-from tensorflow import keras
-from keras.models import load_model
-model1 = load_model("inception.h5")
-
-img_width, img_height = 180, 180
-class_names = ['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips']
-num_classes = len(class_names)
-
-def predict_image(img):
-    img_4d = img.reshape(-1, img_width, img_height, 3)      # 4D coz model trained on multiple 3Ds
-    prediction = model1.predict(img_4d)[0]
-    return {class_names[i]: float(prediction[i]) for i in range(num_classes)}
-
-
-import gradio as gr
-image = gr.inputs.Image(shape=(img_height, img_width))
-label = gr.outputs.Label(num_top_classes=num_classes)
-
-gr.Interface(fn=predict_image, inputs=image, outputs=label, title="Flower Classification using InceptionV3", interpretation='default').launch()