{"id":14964486,"url":"https://github.com/simoso68/llama-lit","last_synced_at":"2026-01-20T03:33:15.872Z","repository":{"id":252315183,"uuid":"840068469","full_name":"Simoso68/llama-lit","owner":"Simoso68","description":"Streamlit frontend for Ollama.","archived":false,"fork":false,"pushed_at":"2024-09-30T11:53:10.000Z","size":103,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-31T06:11:40.348Z","etag":null,"topics":["ai","llama","llama3","ollama","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Simoso68.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-08-08T22:58:50.000Z","updated_at":"2024-09-30T11:53:13.000Z","dependencies_parsed_at":"2024-09-13T22:40:45.960Z","dependency_job_id":"d55399d7-61ff-4a11-8fdc-59d8f6b5e9bc","html_url":"https://github.com/Simoso68/llama-lit","commit_stats":{"total_commits":16,"total_committers":1,"mean_commits":16.0,"dds":0.0,"last_synced_commit":"c3c616416777fb08cc540eb4108976a10e6fce41"},"previous_names":["simoso68/llama-lit"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simoso68%2Fllama-lit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simoso68%2Fllama-lit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simoso68%2Fllama-lit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Simoso68%2Fllama-lit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Simoso68","download_url":"https://codeload.github.com/Simoso68/llama-lit/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238104551,"owners_count":19417155,"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","llama","llama3","ollama","streamlit"],"created_at":"2024-09-24T13:33:15.313Z","updated_at":"2025-10-25T07:31:18.840Z","avatar_url":"https://github.com/Simoso68.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Llama-Lit\n\nLlama-Lit is a streamlit page providing a front-end to interact with Ollama. \\\nThis is still in development and needs some adjustments to offer a good user experience. \\\n\\\nThe backend was made using the [ollama](https://github.com/ollama/ollama-python) library. \\\n\\\nThe frontend was made with [streamlit](https://streamlit.io). \\\nIf one wants to host this application themselves, they would need to install all [requirements](https://github.com/Simoso68/llama-lit/blob/main/requirements.txt) and run the script via ```streamlit run app.py```.\n\n## Features\n\n### Stores message history in cache\n\n![Image - Message History](https://raw.githubusercontent.com/Simoso68/llama-lit/main/images/demo_stores_history.png)\n\n### Allows you to select different AI models\n\n![Image - Select Model](https://raw.githubusercontent.com/Simoso68/llama-lit/main/images/demo_select_model.png)\n\n## Installation\n\nAs this software is not available on the community cloud, one needs it to run on their own machine.\n\n### Software needed\n\n- [Python](https://www.python.org)\n- [Ollama](https://ollama.com)\n- [Git](https://git-scm.com)\n\n### Instructions\n\n**1. Install the AI model**\n\n```sh\nollama pull llama3.1:latest\n```\n\n\u003e [!NOTE]\n\u003e Always check for the newest model to install.\n\n**2. Install the required packages**\n\n```sh\npip install streamlit ollama\n```\n\n\u003e [!IMPORTANT]\n\u003e On Windows systems, pip comes automatically with python. \\\n\u003e On other systems such as the Linux family of systems, you need to install pip separately.\n\n**3. Download this repository**\n\nLocate using the ```cd``` command to the parent folder, where the llama-lit folder with all the code should be stored at. \\\nThen execute the following command, to clone the repository onto your file system.\n\n```sh\ngit clone https://github.com/Simoso68/llama-lit.git\n```\n\nAfter this, a new folder named 'llama-lit' should have been created in the parent directory, that you chose.\n\n**4. Locate into the llama-lit directory**\n\nAfter successfully cloning llama-lit onto your device, one should be able to locate into this folder from the chosen parent folder using:\n\n```sh\ncd llama-lit\n```\n\n**5. Running Llama-Lit**\n\nFrom the llama-lit directory, you can just run the following command, to make the application start:\n\n```sh\nstreamlit run app.py\n```\n\n### Installation complete.\n\nNow, you should have a functioning copy of llama-lit. \\\nTo start llama-lit in the future, locate into your llama-lit directory and run the same command as in step 5 of the installation. \\\nTo stop the application, hit ```CTRL``` and ```C``` while you are in your terminal to shut it down.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimoso68%2Fllama-lit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimoso68%2Fllama-lit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimoso68%2Fllama-lit/lists"}