Update app.py

app.py

@@ -0,0 +1,23 @@
+import torch
+import requests
+import gradio as gr
+from PIL import Image
+
+model = torch.hub.load("pytorch/vision/v0.17", "resnet18", pre_trained = True).eval()
+response = request.get("https://git.io/JJkYN")
+labels = response.text.split("\n")
+
+def get_predictions(inp):
+    inp = transforms.ToTensor()(inp).unsqueeze(0)
+    predictions = torch.nn.Functional.softmax(model(inp)[0], dim = 0)
+    conf = {labels[i]: predictions[i] for i in range(len(labels))}
+    return conf
+
+
+iclass = gr.Interface(fn = get_predictions,
+                     inputs = gr.Image(type = "pil"),
+                      outputs = gr.Label(num_top_classes = 2)
+                     )
+                      
+iclass.launch()
+