Add application file

App.py

@@ -0,0 +1,22 @@
+import gradio as gr
+import tensorflow as tf
+import numpy as np
+import requests
+from keras.applications.inception_v3 import preprocess_input
+
+inception_net = tf.keras.applications.InceptionV3()
+
+def classify_image(img):
+    img_new = img.reshape((-1, 224, 224, 3))
+    img = tf.keras.applications.inception_v3.preprocess_input(img_new)
+    prediction = model.predict(img).flatten()
+
+    return {class_names[i]: float(prediction[i]) for i in range(100)}
+
+image = gr.inputs.Image()
+gr.Image(source="webcam", streaming=True)
+
+label = gr.outputs.Label(num_top_classes= 5)
+
+my_project = gr.Interface(fn=classify_image, inputs=gr.Image(shape=(224, 224), source="upload", streaming=True), outputs=label)
+my_project.launch(debug=True, share=True)