Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import from_pretrained_keras
+import numpy as np
+import tensorflow as tf
+
+def predict_emotion(face):
+  new_face_arr = np.array(face)
+  new_img = tf.expand_dims(new_face_arr,0)
+  model = from_pretrained_keras("layai/emotion-detection-model")
+  single_data = model.predict(new_img)
+  single_data = single_data[0]
+  return np.argmax(single_data)
+
+input = gr.inputs.Image(shape=(48, 48))
+output = gr.outputs.Textbox(label='Predicted Emotion')
+iface = gr.Interface( fn=predict_emotion,
+              inputs=input,
+              outputs=output,
+              capture_session=True)
+
+iface.launch()