Duplicate from averile/gradio

Co-authored-by: BP <[email protected]>

.gitattributes

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README.md

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+---
+title: Gradio
+emoji: 🌍
+colorFrom: red
+colorTo: blue
+sdk: gradio
+sdk_version: 3.37.0
+app_file: app.py
+pinned: false
+duplicated_from: averile/gradio
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+import requests
+from torchvision import transforms
+
+model = torch.hub.load('pytorch/vision:v0.6.0', 'resnet18', pretrained=True).eval()
+response = requests.get("https://git.io/JJkYN")
+labels = response.text.split("\n")
+
+def predict(inp):
+  inp = transforms.ToTensor()(inp).unsqueeze(0)
+  with torch.no_grad():
+    prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
+    confidences = {labels[i]: float(prediction[i]) for i in range(1000)}    
+  return confidences
+
+demo = gr.Interface(fn=predict, 
+             inputs=gr.inputs.Image(type="pil"),
+             outputs=gr.outputs.Label(num_top_classes=3),
+             )
+             
+demo.launch()

gentle-meadow.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9ece094a308d3bb02adf7646882e53ec5a9445cac5b0b2fbcfcca2a70126e2be
+size 92860693

requirements.txt

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+gradio
+torch
+requests
+torchvision