Update app.py

app.py

@@ -1,7 +1,25 @@
+from transformers import AutoFeatureExtractor, AutoModelForImageClassification
+
+extractor = AutoFeatureExtractor.from_pretrained("saved_model_files")
+model = AutoModelForImageClassification.from_pretrained("saved_model_files")
+
+labels = ['affected', 'destroyed', 'no_damage']
+
+def classify(im):
+  features = image_processor(im, return_tensors='pt')
+  logits = model(features["pixel_values"])[-1]
+  probability = torch.nn.functional.softmax(logits, dim=-1)
+  probs = probability[0].detach().numpy()
+  confidences = {label: float(probs[i]) for i, label in enumerate(labels)}
+  return confidences
+
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+interface = gr.Interface(
+    fn=classify,
+    inputs="image",
+    outputs="label"
+  )
+
+interface.launch(share=True, debug=True)