aliabd HF staff commited on
Commit
6ca8bb0
·
1 Parent(s): 1b86927

Upload with huggingface_hub

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Files changed (5) hide show
  1. README.md +6 -7
  2. __pycache__/run.cpython-36.pyc +0 -0
  3. requirements.txt +1 -0
  4. run.py +33 -0
  5. screenshot.png +0 -0
README.md CHANGED
@@ -1,12 +1,11 @@
 
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  ---
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- title: Digit Classifier Main
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- emoji: 🏢
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- colorFrom: purple
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- colorTo: yellow
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  sdk: gradio
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  sdk_version: 3.6
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- app_file: app.py
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  pinned: false
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  ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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+
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  ---
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+ title: digit_classifier_main
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+ emoji: 🔥
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+ colorFrom: indigo
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+ colorTo: indigo
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  sdk: gradio
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  sdk_version: 3.6
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+ app_file: run.py
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  pinned: false
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  ---
 
 
__pycache__/run.cpython-36.pyc ADDED
Binary file (1.13 kB). View file
 
requirements.txt ADDED
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+ tensorflowhttps://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl
run.py ADDED
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+ import os
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+ from urllib.request import urlretrieve
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+
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+ import tensorflow as tf
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+
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+ import gradio
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+ import gradio as gr
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+
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+ urlretrieve(
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+ "https://gr-models.s3-us-west-2.amazonaws.com/mnist-model.h5", "mnist-model.h5"
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+ )
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+ model = tf.keras.models.load_model("mnist-model.h5")
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+
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+
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+ def recognize_digit(image):
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+ image = image.reshape(1, -1)
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+ prediction = model.predict(image).tolist()[0]
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+ return {str(i): prediction[i] for i in range(10)}
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+
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+
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+ im = gradio.Image(shape=(28, 28), image_mode="L", invert_colors=False, source="canvas")
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+
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+ demo = gr.Interface(
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+ recognize_digit,
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+ im,
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+ gradio.Label(num_top_classes=3),
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+ live=True,
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+ interpretation="default",
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+ capture_session=True,
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+ )
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+
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+ if __name__ == "__main__":
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+ demo.launch()
screenshot.png ADDED