Add application file and mode file

app.py

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+import os
+import gradio as gr
+import numpy as np
+import tensorflow as tf
+from tensorflow.keras import models
+
+IMG_SIZE = 300
+class_names = ['none','mild','severe']
+
+cwd = os.getcwd()
+outpath= os.path.join(cwd,"model")
+model_name = 'cross_event_ecuador_efficientnet_1643984852.h5'
+loaded_model = models.load_model(os.path.join(outpath,model_name))
+
+def _classifier(inp):
+  img = np.asarray(tf.cast(inp, dtype=tf.float32)) * 1 / 255.0
+  img = img.reshape((-1, IMG_SIZE, IMG_SIZE, 3))
+  preds = loaded_model.predict(img).flatten()
+  return {class_names[i]:float(preds[i]) for i in range(len(class_names))}
+
+iface = gr.Interface(fn=_classifier, 
+                     inputs=gr.inputs.Image(shape=(IMG_SIZE, IMG_SIZE)),
+                     outputs=gr.outputs.Label()
+                     )
+
+iface.launch()

model/cross_event_ecuador_efficientnet_1643984852.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b38a2aa64ecee1e19e897341f346f14c788424db8838e8498d882c549de9e93b
+size 43817776

requirements.txt

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+tensorflow==2.7.1
+numpy==1.19.5