{"id":26003115,"url":"https://github.com/cllspy/paper-summarizer-ai","last_synced_at":"2025-03-05T20:00:16.789Z","repository":{"id":263078609,"uuid":"889284870","full_name":"CllsPy/Paper-Summarizer-AI","owner":"CllsPy","description":"A faster way to summarizer your papers","archived":false,"fork":false,"pushed_at":"2025-02-09T03:00:25.000Z","size":1958,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-09T04:17:41.493Z","etag":null,"topics":["gemini-api","python","streamlit","summarization"],"latest_commit_sha":null,"homepage":"https://geminisumpaper.streamlit.app/","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/CllsPy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2024-11-16T01:33:04.000Z","updated_at":"2025-02-09T03:00:28.000Z","dependencies_parsed_at":"2024-12-12T21:26:39.375Z","dependency_job_id":"3fc22be2-bbe8-47cc-ac95-8b83ddfb0add","html_url":"https://github.com/CllsPy/Paper-Summarizer-AI","commit_stats":null,"previous_names":["cllspy/gempapersummrizer","cllspy/gemsum","cllspy/paper-summarizer-ai"],"tags_count":0,"template":false,"template_full_name":"streamlit/app-starter-kit","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FPaper-Summarizer-AI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FPaper-Summarizer-AI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FPaper-Summarizer-AI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CllsPy%2FPaper-Summarizer-AI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CllsPy","download_url":"https://codeload.github.com/CllsPy/Paper-Summarizer-AI/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242097418,"owners_count":20071252,"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":["gemini-api","python","streamlit","summarization"],"created_at":"2025-03-05T20:00:16.256Z","updated_at":"2025-03-05T20:00:16.772Z","avatar_url":"https://github.com/CllsPy.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# README\n\n\n## Project Overview\n\nThis project provides a streamlined method for summarizing scientific articles using advanced natural language processing capabilities. By leveraging Google Generative AI and fine-tuned prompt engineering, the application generates structured summaries of uploaded scientific articles.\n\n\n## Features\n\n- **Automatic Summarization:** Converts uploaded articles into structured summaries.\n- **Detailed Outputs:** Includes key findings, objectives, methods, results, conclusions, and key concepts.\n- **User-Friendly Input:** Users can upload files for seamless summarization.\n- **Powered by Generative AI:** Utilizes Google's Gemini AI model for content generation.\n\n## Installation\n\n### Prerequisites\nEnsure you have the following installed:\n- Python 3.8 or higher\n- `pip` (Python package manager)\n\n### Dependencies\nInstall the required libraries using:\n```bash\npip install streamlit python-dotenv google-generativeai PyPDF2\n```\n\n\n\n## Usage\n\n### Setting Up API Key\n1. Create a `.env` file in the project directory.\n2. Add your Google Generative AI API key to the file:\n   ```plaintext\n   API_KEY=your_api_key_here\n   ```\n\n### Running the Application\n1. Save the code in a Python script file (e.g., `app.py`).\n2. Run the script:\n   ```bash\n   python app.py\n   ```\n\n### Workflow\n1. Upload a scientific article file (PDF or text format).\n2. The program will process the file and generate a structured summary.\n\n\n## Example Prompt\n\nThe summarization prompt used in the application ensures a consistent structure:\n```\n# Structured Summary\n\n# Key Findings\n\n# Objectives\n\n# Methods\n\n# Results\n\n# Conclusions\n\n# Key Concepts\n```\n\n\n## Code Explanation\n\n### Environment Variables\nThe `.env` file is used to securely load the API key.\n\n### Functions\n- `summarize(file)`: Generates the summary using the Google Generative AI model.\n- `main()`: Entry point of the application.\n\n\n\n## Contributing\nContributions are welcome. Please fork the repository and submit a pull request.\n\n## License\nThis project is licensed under the MIT License. See the `LICENSE` file for details.\n\n\n## To-do\n\n- [ ] translate text - ptbr\n- [ ] add copy button\n- [ ] add tutorial\n- [ ] add loading bar\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcllspy%2Fpaper-summarizer-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcllspy%2Fpaper-summarizer-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcllspy%2Fpaper-summarizer-ai/lists"}