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updating some configs and typos in readme
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README.md
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---
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title: Mnist Comparison
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emoji:
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colorFrom:
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colorTo:
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sdk: streamlit
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sdk_version: 1.37.0
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app_file: app.py
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pinned: false
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license: mit
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---
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# MNIST Streamlit
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This is a simple Streamlit app that demonstrates the differences between neural nets trained on the MNIST
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There are three models saved locally available in the `models` directory:
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@@ -40,6 +42,10 @@ Once you draw a digit, the model will be loaded, asked to make a prediction on y
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- The time it took to load the model
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- The probability distribution of predictions as a bar chart and table
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## Usage
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To run the Streamlit app locally using Poetry, clone the repository, `cd` into the created directory, and run the following commands:
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---
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title: Mnist Comparison
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emoji: π
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colorFrom: yellow
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colorTo: red
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sdk: streamlit
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sdk_version: 1.37.0
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python_version: 3.12
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app_file: app.py
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pinned: false
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license: mit
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tags: MNIST, Onnx, Keras
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---
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# MNIST Streamlit
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This is a simple Streamlit app that demonstrates the differences between neural nets trained on the [MNIST dataset](https://yann.lecun.com/exdb/mnist/).
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There are three models saved locally available in the `models` directory:
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- The time it took to load the model
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- The probability distribution of predictions as a bar chart and table
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If you change your selected model after drawing the digit, that same drawing will be used with the newly selected model.
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To clear your "hand" drawn digit, click the trashcan icon under the drawing canvas.
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## Usage
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To run the Streamlit app locally using Poetry, clone the repository, `cd` into the created directory, and run the following commands:
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