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--- |
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title: deven-cleric-frontend |
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emoji: 🌍 |
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colorFrom: red |
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colorTo: blue |
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sdk: streamlit |
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sdk_version: 1.33.0 |
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app_file: app.py |
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pinned: false |
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--- |
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I've built the web app with Streamlit. The app is deployed on huggingface spaces. The app as expected takes comma seperated URLs and a question/questions as input and returns facts. |
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The facts received from the API are in `list` format, however, a single element of the `list` can contain multiple sentences, so I tokenize them into multiple sentences using `nltk`. |
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## Install |
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Install the dependencies using, |
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```sh |
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pip install -r requirements.txt |
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``` |
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Once installed, start the app using |
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```sh |
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streamlit run app.py |
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``` |
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