{"id":25412085,"url":"https://github.com/recker-dev/mini-cdss-streamlit-frontend","last_synced_at":"2025-06-13T06:07:01.193Z","repository":{"id":277744947,"uuid":"933364673","full_name":"Recker-Dev/Mini-CDSS-Streamlit-Frontend","owner":"Recker-Dev","description":"Agentic-AI (Lang-graph) based project, streamlining patient report generation and documentation process significantly.","archived":false,"fork":false,"pushed_at":"2025-02-19T17:29:38.000Z","size":11,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-14T18:50:58.641Z","etag":null,"topics":["agenticai","genai","huggingface","langgraph","streamlit"],"latest_commit_sha":null,"homepage":"https://mini-cdss-app-frontend-bypzbmstrxrkwdbwz5bdon.streamlit.app/","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/Recker-Dev.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,"zenodo":null}},"created_at":"2025-02-15T19:24:30.000Z","updated_at":"2025-02-21T08:15:41.000Z","dependencies_parsed_at":"2025-04-14T17:13:26.795Z","dependency_job_id":"2d8a7325-53ea-4e4a-aa54-19adfa522473","html_url":"https://github.com/Recker-Dev/Mini-CDSS-Streamlit-Frontend","commit_stats":null,"previous_names":["recker-dev/mini-cdss-streamlit-frontend"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Recker-Dev/Mini-CDSS-Streamlit-Frontend","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Recker-Dev%2FMini-CDSS-Streamlit-Frontend","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Recker-Dev%2FMini-CDSS-Streamlit-Frontend/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Recker-Dev%2FMini-CDSS-Streamlit-Frontend/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Recker-Dev%2FMini-CDSS-Streamlit-Frontend/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Recker-Dev","download_url":"https://codeload.github.com/Recker-Dev/Mini-CDSS-Streamlit-Frontend/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Recker-Dev%2FMini-CDSS-Streamlit-Frontend/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259592260,"owners_count":22881265,"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":["agenticai","genai","huggingface","langgraph","streamlit"],"created_at":"2025-02-16T11:17:27.410Z","updated_at":"2025-06-13T06:07:01.179Z","avatar_url":"https://github.com/Recker-Dev.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Mini-CDSS Application\n\n## BACKEND CODE: [https://github.com/Recker-Dev/Mini-CDSS-FastAPI]\n\n## Overview\n\nThis is a Streamlit-based application designed to assist doctors in initial patient encounters. The application generates an initial patient report, provides diagnoses, and utilizes Tavily Web Search to find relevant best practices.\n\n## Features\n\n- Generate initial patient reports based on input data\n- Provide preliminary diagnoses\n- Search for best practices using Tavily Web Search\n- Extract medical insights from uploaded documents\n- RAG-Chat with uploaded documents\n- Use vision models to analyze uploaded images and provide insights\n- Offer feedback mechanisms for refining outputs\n\n## Installation\n\nTo run this application locally/cloud, follow these steps:\n\n### Prerequisites\n\nEnsure you have the following installed:\n\n- Python 3.x\n- pip\n\n### Setup\n\n```bash\n# Clone the repository\ngit clone https://github.com/Recker-Dev/Mini-CDSS-Streamlit-Frontend.git\ncd Mini-CDSS-Streamlit-Frontend\n```\n\n# Install dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n## Running the Application\n\n```bash\nstreamlit run app.py\n```\n\n## Usage\n\n1. Open the application in your browser at `http://localhost:8501` and enter and validate the API Keys.\n2. Upload patient data or documents\n3. Review generated reports and diagnoses\n4. Query images using the vision model\n5. Access relevant best practices\n\n## Deployment\n\nTo deploy this application on Streamlit Cloud or any hosting service, follow these steps:\n\n1. Change the api-endpoint of FASTAPI of yours, Backend Code [https://github.com/Recker-Dev/Mini-CDSS-FastAPI]\n2. Deploy Application on Streamlit Cloud.\n3. .env vars should be in Backend side and not on Streamlit side.\n\n## 📝 License\n\nThis project is licensed under the MIT License.\n\n## 📬 Contact\n\nFor any issues or suggestions, reach out at [reckerdev@gmail.com](mailto:reckerdev@gmail.com).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frecker-dev%2Fmini-cdss-streamlit-frontend","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frecker-dev%2Fmini-cdss-streamlit-frontend","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frecker-dev%2Fmini-cdss-streamlit-frontend/lists"}