Update app.py

app.py

@@ -1,8 +1,10 @@
-import tensorflow as tf
+from huggingface_hub import from_pretrained_keras
 import gradio as gr
+import tensorflow as tf
 import numpy as np
-model = tf.keras.models.load_model('Model.h5')
+
+m = from_pretrained_keras('adithya12/monkeypox-model-lin')
 def predict(inp):
-  prediction = model.predict(np.array([tf.keras.preprocessing.image.img_to_array(inp)]) )
+  prediction = m.predict(np.array([tf.keras.preprocessing.image.img_to_array(inp)]) )
   return (1-prediction)*100
-gr.Interface(fn=predict,inputs=gr.Image(shape=(224, 224)),outputs=gr.Number()).launch()
+gr.Interface(fn=predict,inputs=gr.Image(shape=(224, 224)),outputs=gr.Number()).launch(server_name="0.0.0.0")