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| title: "ChatBot: learn about André's research through an AI assistant" | |
| colorFrom: indigo | |
| colorTo: indigo | |
| sdk: streamlit | |
| sdk_version: 1.27.2 | |
| app_port: 8501 | |
| emoji: 💬 | |
| pinned: false | |
| license: mit | |
| app_file: app.py | |
| # [chatbot-streamlit-demo](https://github.com/andreped/chatbot-streamlit-demo#chatbot-streamlit-demo) | |
| [](https://opensource.org/licenses/MIT) | |
| <a target="_blank" href="https://huggingface.co/spaces/andreped/chatbot-streamlit-demo"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a> | |
| [](https://chatbot-app-demo.streamlit.app) | |
| [](https://github.com/raidionics/AeroPath/actions/workflows/deploy.yml) | |
| This application demonstrates how to setup a simple ChatBot with [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service), [llama-index](https://docs.llamaindex.ai/en/stable/), and [Streamlit](https://streamlit.io). | |
| The final app is also deployed on both [Streamlit](https://chatbot-app-demo.streamlit.app) and [Hugging Face Spaces](https://huggingface.co/spaces/andreped/chatbot-streamlit-demo), as well as embedded into a [personal website](https://andreped.github.io/demos/2023/chatbot/). | |
| The ChatBot enables you to talk with your own data - in this case, to learn about [André's research](https://scholar.google.com/citations?user=U20zUHQAAAAJ). | |
| ## [Continuous integration](https://github.com/andreped/chatbot-streamlit-demo#continuous-integration) | |
| | Build Type | Status | | |
| | - | - | | |
| | **HF Deploy** | [](https://github.com/andreped/chatbot-streamlit-demo/actions) | | |
| | **File size check** | [](https://github.com/andreped/chatbot-streamlit-demo/actions) | | |
| | **Linting** | [](https://github.com/andreped/chatbot-streamlit-demo/actions) | | |
| ## [Demo](https://github.com/andreped/chatbot-streamlit-demo#demo) | |
| We have enabled live hosting through both Streamlit and Hugging Face spaces. Click on the respective badges below to access each: | |
| #### [Hugging Face Spaces](https://github.com/andreped/chatbot-streamlit-demo#hugging-face-spaces) <a target="_blank" href="https://huggingface.co/spaces/andreped/chatbot-streamlit-demo"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a> | |
|  | |
| #### [Streamlit](https://github.com/andreped/chatbot-streamlit-demo#Streamlit) [](https://chatbot-app-demo.streamlit.app) | |
|  | |
| ## [Development](https://github.com/andreped/chatbot-streamlit-demo#Development) | |
| If you wish to play around with the app locally, it requires that you provide OpenAI API key and all that fun stuff yourself. | |
| These instructions were tested on a MacBook Pro with M2 chip running macOS 13.6 Ventura with `Python 3.9.6`. | |
| 1. Setup virtual environment and install dependencies: | |
| ``` | |
| python3 -m venv venv/ | |
| source venv/bin/activate | |
| pip install -r requirements.txt | |
| ``` | |
| 2. Create the secrets file at `.streamlit/secrets.toml` file and fill in the relevant info: | |
| ``` | |
| OPENAI_API_KEY = "3cc19a1c875749c18c5e5d5a45a08f90" | |
| CHATGPT_MODEL = "<insert model name>" | |
| OPENAI_API_BASE = "https://<insert-openai-service-name>.openai.azure.com" | |
| OPENAI_API_VERSION = "<insert version>" | |
| ENGINE = "<insert deployment model name>" | |
| ENGINE_EMBEDDING = "<insert deployment embedding name>" | |
| ``` | |
| 3. Launch the app: | |
| ``` | |
| streamlit run app.py | |
| ``` | |
| A Streamlit browser window should automatically open. If not, the app can be accessed at `http://localhost:8501` | |
| ## [Disclaimer](https://github.com/andreped/chatbot-streamlit-demo#disclaimer) | |
| Only public PDFs were used for this demonstration. Some of André's research is sadly behind a paywall and thus we have chosen not to include the PDFs in this demo to avoid copyright issues. | |
| ## [Acknowledgements](https://github.com/andreped/chatbot-streamlit-demo#acknowledgements) | |
| I wish to thank [Sopra Steria](https://www.soprasteria.com) for giving me the chance to develop this web application on internal time. I also want to thank [OpenAI](https://openai.com), [Microsoft Azure](https://azure.microsoft.com/en-us), and the developers of [llama-index](https://www.llamaindex.ai), [Streamlit](https://streamlit.io), and [HuggingFace](https://huggingface.co) for making such great tools to make applications in. | |
| ## [License](https://github.com/andreped/chatbot-streamlit-demo#license) | |
| The code in this repository is released under [MIT license](https://github.com/andreped/chatbot-streamlit-demo/blob/main/LICENSE). | |