Primer Commit

Subiendo primer archivo app.py y modelo

PapaRod.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e5f97789ce4ce1ede5e760f997e3dcbdf533e33b9bc21f49c687c37fafaeb2ee
+size 46964897

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: Todo_para_ml_imagenes.ipynb.
+
+# %% auto 0
+__all__ = ['path', 'learn_inf', 'btn_upload', 'out_pl', 'lbl_pred', 'btn_run', 'labels', 'demo', 'on_click_classify', 'predict']
+
+# %% Todo_para_ml_imagenes.ipynb 4
+from pathlib import Path
+from fastcore.all import *
+from fastai.vision.all import *
+from fastai.vision.widgets import *
+
+# %% Todo_para_ml_imagenes.ipynb 28
+path = Path()
+path.ls(file_exts='.pkl')
+
+# %% Todo_para_ml_imagenes.ipynb 30
+learn_inf = load_learner(path/'PapaRod.pkl')
+
+# %% Todo_para_ml_imagenes.ipynb 43
+btn_upload = widgets.FileUpload()
+out_pl = widgets.Output()
+lbl_pred = widgets.Label()
+btn_run = widgets.Button(description='Classify')
+
+# %% Todo_para_ml_imagenes.ipynb 44
+def on_click_classify(change):
+    img = PILImage.create(btn_upload.data[-1])
+    out_pl.clear_output()
+    with out_pl: display(img.to_thumb(128,128))
+    pred,pred_idx,probs = learn_inf.predict(img)
+    lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'
+
+btn_run.on_click(on_click_classify)
+
+# %% Todo_para_ml_imagenes.ipynb 54
+import gradio as gr
+
+labels = learn_inf.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn_inf.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# %% Todo_para_ml_imagenes.ipynb 56
+demo = gr.Interface(
+    predict, 
+    gr.Image(source="webcam", streaming=False), 
+    outputs=gr.components.Label(num_top_classes=3),
+    interpretation='default',
+    live=True
+).launch(share=True)