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README.md

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+---
+title: Spreadsheetclassifier
+emoji: 📉
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.1.7
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from fastai.vision.all import *
+import gradio as gr
+learn = load_learner('model.pkl')
+
+categories = ('Rows','Sheets','Numbers','Excel')
+
+def classify_image(img):
+        pred,idx,probs = learn.predict(img)
+        return dict(zip(categories,map(float,probs)))
+    
+image = gr.inputs.Image(shape=(400,400))
+label = gr.outputs.Label()
+examples = ['Rows.png','Sheets.png','Numbers.png']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:561d5739384000ff331432a5741944598b92bf11c0e0cbc65f28b8c46456aa26
+size 46963433

requirements.txt

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+fastai
+torch
+gradio
+numpy
+pandas