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| title: Document QandA | |
| emoji: 🏆 | |
| colorFrom: red | |
| colorTo: pink | |
| sdk: streamlit | |
| sdk_version: 1.21.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Document Question & Answer | |
| A Langchain-based application to upload any text or PDF document, ask relevant Questions to it and expect summarised answers. | |
| ### Pre-requisites | |
| $ pip install langchain huggingface_hub sentence_transformers faiss-cpu unstructured chromadb Cython tiktoken unstructured[local-inference] | |
| Or | |
| $ pip install -r requirements.txt | |
| * Install the above Python packages | |
| ### Reference: | |
| * Vectorstore: https://python.langchain.com/en/latest/modules/indexes/vectorstores.html |