Upload with huggingface_hub

app.py

@@ -1,7 +1,30 @@
+import torch
 import gradio as gr
+from torchvision import transforms
+from PIL import ImageOps
 
-def greet(name):
-    return "Hello " + name + "!!"
+def load_model():
+    model_dict = torch.load('linear_model.pt')
+    return model_dict
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+model = load_model()
+convert_tensor = transforms.ToTensor()
+
+def predict(img):
+    img =  ImageOps.grayscale(img)
+    image_tensor = convert_tensor(img).view(28*28)
+    res = image_tensor @ model['weights'] + model['bias']
+    res = res.sigmoid()
+    return {"It's 3": float(res), "It's 7": float(1-res)}
+
+title = "Is it 7 or 3"
+description = '<p><center>Upload an image with a handwritten number: 7 or 3.</center></p>'
+examples = ['three.png', 'seven.png']
+
+gr.Interface(fn=predict, 
+             inputs=gr.Image(type="pil"),
+             outputs=gr.Label(num_top_classes=2),
+             title=title,
+             description=description,
+             allow_flagging='never',
+             examples=examples).launch()

linear_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b7ebfe6cd266359cc4715eceb910d8cf3440496d21bd45d58293c3310ad1481
+size 4071