{"id":14959545,"url":"https://github.com/tinesoft/streamlit-playground","last_synced_at":"2026-01-04T05:48:17.465Z","repository":{"id":254752614,"uuid":"847425984","full_name":"tinesoft/streamlit-playground","owner":"tinesoft","description":"A playground to play with Streamlit library","archived":false,"fork":false,"pushed_at":"2024-09-11T04:59:18.000Z","size":405,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-31T03:26:18.433Z","etag":null,"topics":["ai","langchain-python","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tinesoft.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-25T19:35:10.000Z","updated_at":"2024-09-12T08:24:56.000Z","dependencies_parsed_at":"2024-08-25T22:19:38.580Z","dependency_job_id":"6eae20e0-cf6f-4779-b712-01accce5c7e5","html_url":"https://github.com/tinesoft/streamlit-playground","commit_stats":{"total_commits":9,"total_committers":1,"mean_commits":9.0,"dds":0.0,"last_synced_commit":"8b8d29a14e3980761f17ba4d437bd60bbf8106e7"},"previous_names":["tinesoft/streamlit-playground"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tinesoft%2Fstreamlit-playground","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tinesoft%2Fstreamlit-playground/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tinesoft%2Fstreamlit-playground/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tinesoft%2Fstreamlit-playground/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tinesoft","download_url":"https://codeload.github.com/tinesoft/streamlit-playground/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238008507,"owners_count":19401263,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","langchain-python","streamlit"],"created_at":"2024-09-24T13:19:57.067Z","updated_at":"2025-10-24T16:32:06.404Z","avatar_url":"https://github.com/tinesoft.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# A playground to experiment with Streamlit library\n\n\u003e [Streamlit](https://streamlit.io) is a powerful opensource python library  that simplifies the creation of **interactive web applications** for **data science** and **AI projects**.\n\n\u003cp align=\"center\"\u003e\u003cimg src=\"./images/llm_chat.png\"\u003e\u003c/p\u003e\n\n\nThis project is currently composed of 2 sample applications:\n\n* [simple_chat.py](./simple_chat.py): that showcases a simple `ChatGPT`-like applciation built using solely Streamlit\n* [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 )\n\n\n## Development Workstation Setup\n\nIf 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),\n to easily setup your development environment, with everything needed already installed (namely `Python 3` plus some useful extensions).\n\nTo do so, simply:\n\n- Checkout the repo\n- Open it with `VSCode` (or `IntelliJ`)\n- Open the [Command Palette](https://code.visualstudio.com/docs/getstarted/userinterface#_command-palette) and select \"Dev Containers: Open Folder in Container...\"\n\nThe 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.\nIt will even run `pip install -r requiremnts.txt` for you, to automatically install all project dependencies\n\nIf 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.\n\n\n## Running a sample\n\n\n```\nstreamlit run \u003cfile.py\u003e\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinesoft%2Fstreamlit-playground","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftinesoft%2Fstreamlit-playground","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinesoft%2Fstreamlit-playground/lists"}