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--- |
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title: AnythingQ&A |
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emoji: ❓ |
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colorFrom: blue |
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colorTo: red |
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sdk: gradio |
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sdk_version: 3.48.0 |
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app_file: app.py |
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pinned: false |
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--- |
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## Anything Q&A |
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This tool serves as a customizable version of the amazing ClimateQA by Ekimetrics. It allows you to rapidly create a new question-answering tool using any set of documents as a data source. |
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## Quick Start |
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0. **Fork the Repository** |
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Fork the original HuggingFace space: [Anything Q&A on HuggingFace](https://huggingface.co/spaces/LouisSanna/anything-question-answering). |
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1. **Install Dependencies** |
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```shell |
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pip install -r requirements.txt |
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``` |
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2. **Add your data.** |
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Place the PDFs to be used as sources in the data folder. The subfolder and file names will be used as default identifiers by the tool. |
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```txt |
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data/ |
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type_1/ |
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source_1.pdf |
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source_2.pdf |
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type_2/ |
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source_3.pdf |
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``` |
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3. **Build the index of semantic vectors** |
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```bash |
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python -m anyqa.build_index |
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``` |
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4. **Launch the app** |
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```shell |
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python app.py |
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``` |
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And you're done! |
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## Deployment |
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Deploying via Hugging Face Spaces is the most straightforward approach. Simply push your code to a HuggingFace Gradio space, and it will function as is. |
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