Update app.py

app.py

@@ -1,3 +1,18 @@
 import gradio as gr
+import tensorflow as tf
+import numpy as np
+import requests
 
-gr.Interface.load("models/Eshieh2/jaguarid_pantanal").launch()
+labels = []
+
+def classify_image(inp):
+  model = tf.keras.models.load('saved_model')
+  inp = inp.reshape((-1, 480, 480, 3))
+  inp = tf.divide(inp,255.0)
+  prediction = model.predict(inp).flatten()
+  return {labels[i]: float(prediction[i]) for i in range(36)}
+
+image = gr.inputs.Image(shape=(480, 480))
+label = gr.outputs.Label(num_top_classes=3)
+
+gr.Interface(fn=classify_image, inputs=image, outputs=label, capture_session=True, theme = "grass", examples = [["cat.jpeg"]]).launch()