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README.md

@@ -6,7 +6,6 @@ colorFrom: indigo
 colorTo: indigo
 sdk: gradio
 sdk_version: 3.4.1
-
-app_file: app.py
+app_file: run.py
 pinned: false
 ---

run.py

@@ -0,0 +1,28 @@
+import requests
+import tensorflow as tf
+
+import gradio as gr
+
+inception_net = tf.keras.applications.MobileNetV2()  # load the model
+
+# Download human-readable labels for ImageNet.
+response = requests.get("https://git.io/JJkYN")
+labels = response.text.split("\n")
+
+
+def classify_image(inp):
+    inp = inp.reshape((-1, 224, 224, 3))
+    inp = tf.keras.applications.mobilenet_v2.preprocess_input(inp)
+    prediction = inception_net.predict(inp).flatten()
+    return {labels[i]: float(prediction[i]) for i in range(1000)}
+
+
+image = gr.Image(shape=(224, 224))
+label = gr.Label(num_top_classes=3)
+
+demo = gr.Interface(
+    fn=classify_image, inputs=image, outputs=label, interpretation="default"
+)
+
+if __name__ == "__main__":
+    demo.launch()