{"id":21584852,"url":"https://github.com/sachs7/explainit","last_synced_at":"2026-04-15T18:32:28.002Z","repository":{"id":264092510,"uuid":"892342652","full_name":"sachs7/explainIt","owner":"sachs7","description":"A basic CrewAI app that tries to explain things in simple terms","archived":false,"fork":false,"pushed_at":"2024-11-22T02:42:26.000Z","size":218,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-24T15:27:17.682Z","etag":null,"topics":["ai","basic","crewai","crewai-tools","llama3","llm","streamlit","streamlit-webapp"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sachs7.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":"2024-11-21T23:50:22.000Z","updated_at":"2024-11-22T02:42:29.000Z","dependencies_parsed_at":"2024-12-22T15:30:40.302Z","dependency_job_id":"6f982b35-7ce1-4a18-b7a4-b22a8206fd2b","html_url":"https://github.com/sachs7/explainIt","commit_stats":null,"previous_names":["sachs7/explainit"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sachs7%2FexplainIt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sachs7%2FexplainIt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sachs7%2FexplainIt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sachs7%2FexplainIt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sachs7","download_url":"https://codeload.github.com/sachs7/explainIt/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244189830,"owners_count":20412991,"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","basic","crewai","crewai-tools","llama3","llm","streamlit","streamlit-webapp"],"created_at":"2024-11-24T15:07:54.710Z","updated_at":"2026-04-15T18:32:27.963Z","avatar_url":"https://github.com/sachs7.png","language":"Python","readme":"# Explainit Crew\n\nWelcome to the Explainit Crew project, powered by [crewAI](https://crewai.com). A basic CrewAI app that tries to explain given topics in simple terms.\n\n\n## Installation\n\nEnsure you have Python \u003e=3.10 \u003c=3.13 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.\n\nExplainIt uses Llama3.2, you can find the installation instructions [here](https://docs.crewai.com/how-to/llm-connections#using-local-models-with-ollama). Feel free to explore other LLMs based on the [CrewAI documentation](https://docs.crewai.com/how-to/llm-connections#connect-crewai-to-llms) and speed up the inference.\n\nFirst, if you haven't already, install uv:\n\n```bash\npip install uv\n```\n\nNext, navigate to your project directory and install the dependencies:\n\n(Optional) Lock the dependencies and install them by using the CLI command:\n```bash\ncrewai install\n```\n### Customizing\n\n**Add your `Llama` details into the `.env` file**\n\n- Modify `src/explainit/config/agents.yaml` to define your agents\n- Modify `src/explainit/config/tasks.yaml` to define your tasks\n- Modify `src/explainit/crew.py` to add your own logic, tools and specific args\n- Modify `src/explainit/main.py` to add custom inputs for your agents and tasks\n\n## Running the Project\n\nTo kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:\n\n```bash\n$ crewai run\n```\n\nThis command initializes the explainIt Crew, assembling the agents and assigning them tasks as defined in your configuration.\n\nThis example, unmodified, will run the create a `report.md` file with the output of a research on LLMs in the root folder.\n\n\n# Streamlit App\n\nInstead of dealing with the CLI, if you want to interact with the app via browser, then, go to `src/explainit/main.py`:\n\n1. comment the existing code block\n2. install \"streamlit\" using: `uv pip install streamlit`\n3. enable the code block containing streamlit block\n4. run `streamlit run main.py`\n5. access the app at: http://localhost:8501\n\n## Result\n\n\u003cimg width=\"1434\" alt=\"Screenshot 2024-11-21 at 5 21 44 PM\" src=\"https://github.com/user-attachments/assets/3963c64a-d2f8-4330-b39d-088feea9cb3c\"\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsachs7%2Fexplainit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsachs7%2Fexplainit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsachs7%2Fexplainit/lists"}