adding the working model interface

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app2.ipynb.
+
+# %% auto 0
+__all__ = ['temp', 'learn', 'categories', 'image', 'label', 'examples', 'iface', 'ECG', 'classify_image']
+
+# %% ../app2.ipynb 2
+from fastai.vision.all import*
+import gradio as gr
+
+def ECG(x):
+    return x[0].isupper()
+
+# %% ../app2.ipynb 4
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+from pathlib import Path
+
+learn = load_learner(str(Path('model2.pkl')))
+
+
+# %% ../app2.ipynb 6
+categories = ('bradycardia','tachycardia')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../app2.ipynb 8
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['bradycardia-ECG.jpg', 'tachycardia.jpg']
+
+iface = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
+iface.launch()

model2.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:102dba94e9492f40f372fd86b8bf460a129d37821f29367d0cbbeba4ae9ee6f2
+size 46960341