https://github.com/tinesoft/streamlit-playground

A playground to play with Streamlit library
https://github.com/tinesoft/streamlit-playground

ai langchain-python streamlit

Last synced: 3 months ago
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A playground to play with Streamlit library

• Host: GitHub
• URL: https://github.com/tinesoft/streamlit-playground
• Owner: tinesoft
• Created: 2024-08-25T19:35:10.000Z (5 months ago)
• Default Branch: master
• Last Pushed: 2024-09-11T04:59:18.000Z (4 months ago)
• Last Synced: 2024-09-27T22:01:33.398Z (4 months ago)
• Topics: ai, langchain-python, streamlit
• Language: Python
• Homepage:
• Size: 396 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# A playground to experiment with Streamlit library

> [Streamlit](https://streamlit.io) is a powerful opensource python library  that simplifies the creation of **interactive web applications** for **data science** and **AI projects**.



This project is currently composed of 2 sample applications:

* [simple_chat.py](./simple_chat.py): that showcases a simple `ChatGPT`-like applciation built using solely Streamlit

* [llm_chat.py](./llm_chat.py): the same `ChatGPT`-like application interacting with `OpenAPI` using [`Langchain`](https://python.langchain.com/v0.2/docs/introduction/) (requires an `OPENAPI_KEY` to be set in the [.streamlit/secrets.toml](./streamlit) file )

## Development Workstation Setup

If you are using `VSCode`, and provided you have [Docker](https://docker.com) installed on your machine, then you can leverage [Dev Containers](https://containers.dev) through this [VSCode extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers),

 to easily setup your development environment, with everything needed already installed (namely `Python 3` plus some useful extensions).

To do so, simply:

- Checkout the repo

- Open it with `VSCode` (or `IntelliJ`)

- Open the [Command Palette](https://code.visualstudio.com/docs/getstarted/userinterface#_command-palette) and select "Dev Containers: Open Folder in Container..."

The repo comes with a preconfigured `devcontainer.json` file (located in `.devcontainer/` folder at root), that `VSCode` will automatically use to install the aforementioned tools, inside a Docker image.

It will even run `pip install -r requiremnts.txt` for you, to automatically install all project dependencies

If you open the repo in [Github Codespace](https://github.com/features/codespaces), it will also leverage this config file, to setup the codespace, with the same required tools.

## Running a sample

```

streamlit run 

```