{"id":25527107,"url":"https://github.com/kybvwhxw/sequential-thinking-paper","last_synced_at":"2026-04-18T10:35:20.801Z","repository":{"id":278366411,"uuid":"935364329","full_name":"KYBvWHxW/sequential-thinking-paper","owner":"KYBvWHxW","description":"Implementation of Sequential Thinking Paper: A Step-by-Step Approach to AI Content Analysis","archived":false,"fork":false,"pushed_at":"2025-02-20T00:54:30.000Z","size":12,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-31T20:49:19.616Z","etag":null,"topics":["ai","content-analysis","fastapi","nlp","python","sequential-thinking"],"latest_commit_sha":null,"homepage":null,"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/KYBvWHxW.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,"zenodo":null}},"created_at":"2025-02-19T10:24:58.000Z","updated_at":"2025-05-14T08:53:40.000Z","dependencies_parsed_at":"2025-02-19T12:24:11.597Z","dependency_job_id":"c04116b8-4e0c-499f-b1fa-4680af055e73","html_url":"https://github.com/KYBvWHxW/sequential-thinking-paper","commit_stats":null,"previous_names":["kybvwhxw/sequential-thinking-paper"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/KYBvWHxW/sequential-thinking-paper","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KYBvWHxW%2Fsequential-thinking-paper","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KYBvWHxW%2Fsequential-thinking-paper/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KYBvWHxW%2Fsequential-thinking-paper/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KYBvWHxW%2Fsequential-thinking-paper/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KYBvWHxW","download_url":"https://codeload.github.com/KYBvWHxW/sequential-thinking-paper/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KYBvWHxW%2Fsequential-thinking-paper/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279527928,"owners_count":26185446,"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","status":"online","status_checked_at":"2025-10-18T02:00:06.492Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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","content-analysis","fastapi","nlp","python","sequential-thinking"],"created_at":"2025-02-19T22:17:09.946Z","updated_at":"2025-10-18T12:14:36.026Z","avatar_url":"https://github.com/KYBvWHxW.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sequential Thinking Paper\n\nThis repository contains the implementation of a Sequential Thinking Server for AI-powered article illustration. The server analyzes article content using a step-by-step approach to extract key information and generate appropriate visual suggestions.\n\n## Features\n\n- Content Analysis: Breaks down articles into meaningful segments\n- Keyword Extraction: Identifies key themes and topics\n- Emotion Analysis: Determines the emotional tone of content\n- Visualization Suggestions: Recommends appropriate visualization types\n- Image Prompt Generation: Creates prompts for AI image generation\n\n## Architecture\n\nThe system is built using:\n- FastAPI for the web server\n- OpenAI's GPT-4 for content analysis\n- Pydantic for data validation\n- pytest for testing\n\n## Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/your-username/sequential-thinking-paper.git\ncd sequential-thinking-paper\n```\n\n2. Create a virtual environment:\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\Scripts\\activate\n```\n\n3. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n\n4. Set up environment variables:\n```bash\ncp .env.example .env\n# Edit .env with your OpenAI API key\n```\n\n## Usage\n\n1. Start the server:\n```bash\npython run_servers.py\n```\n\n2. Send a POST request to analyze content:\n```bash\ncurl -X POST \"http://localhost:8000/analyze\" \\\n     -H \"Content-Type: application/json\" \\\n     -d '{\"content\": \"Your article text here\", \"max_segments\": 1, \"analysis_type\": \"article\"}'\n```\n\n## Testing\n\nRun tests with:\n```bash\npython -m pytest tests/ -v\n```\n\n## Contributing\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Citation\n\nIf you use this work in your research, please cite:\n\n```bibtex\n@article{sequential-thinking,\n  title={Sequential Thinking: A Step-by-Step Approach to AI Content Analysis},\n  author={Your Name},\n  year={2025},\n  journal={Preprint}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkybvwhxw%2Fsequential-thinking-paper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkybvwhxw%2Fsequential-thinking-paper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkybvwhxw%2Fsequential-thinking-paper/lists"}