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| title: Chat with Docs | |
| emoji: 🦙 | |
| license: mit | |
| sdk: streamlit | |
| python_version: 3.9 | |
| app_file: app.py | |
| colorFrom: pink | |
| colorTo: blue | |
| pinned: false | |
| duplicated_from: ashrma/Chat-with-Docs | |
| # Chat-with-Docs | |
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| Chat with your Docs and gain better insights. Powered by `LlamaIndex` and `Streamlit` is used for UI. | |
| Handles `CSV/PDFs/Txt/Doc`. CSV file is catered via [PandasAI](https://llamahub.ai/l/pandas_ai) loader and rest of the docs are handled via | |
| `GPTVectorStoreIndex`. | |
| Clone the repo or copy the `.py ` file in your local machine. | |
| ## Install required Dependencies | |
| ``` | |
| pip install -r requirements.txt | |
| ``` | |
| ## Create a folder in the root dir and name it as `documents` | |
| ## Run the application | |
| `streamlit run chat_with_docs.py` | |
| ## How to Contribute | |
| Feel free to open any Issue or PR request. This small application can help anyone to interact with their docs more smartly in just 2-3 steps. | |
| ## Roadmap | |
| - [ ] Add support for choosing in between GPT-3/GPT-3.5/GPT-4 or HuggingFace model for creating vectors and generating rich responses. | |
| - [x] Blog explaining the entire application in detail. | |
| - [ ] Add Docker support. | |
| - [ ] Deploy the project on Streamlit or DataButton platform. | |
| - [ ] Add support to handle multiple files at once. | |
| ## Snapshots | |
| - Upload a CSV file. Get better insights by just asking question, Render graphs based on the Data | |
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| - In Doc section, Upload PDFs/Txt/Docs to chat with your docs directly. No need to press `CTRL+F` to search for anything in the Docs | |
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