{"id":22547423,"url":"https://github.com/shaadclt/chatbot","last_synced_at":"2026-05-02T09:32:25.132Z","repository":{"id":176002405,"uuid":"654840209","full_name":"shaadclt/Chatbot","owner":"shaadclt","description":"This is a simple chatbot implemented using Python and Streamlit. The chatbot uses a logistic regression classifier with TF-IDF vectorization to classify user input and generate appropriate responses.","archived":false,"fork":false,"pushed_at":"2023-06-17T06:03:51.000Z","size":15,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-02T09:41:26.922Z","etag":null,"topics":["nlp","nltk","streamlit"],"latest_commit_sha":null,"homepage":"https://s-chatbot.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/shaadclt.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}},"created_at":"2023-06-17T05:20:42.000Z","updated_at":"2024-10-10T05:02:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"fe55f5c8-200d-4493-b04b-81508a079192","html_url":"https://github.com/shaadclt/Chatbot","commit_stats":null,"previous_names":["shaadclt/chatbot"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shaadclt%2FChatbot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shaadclt%2FChatbot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shaadclt%2FChatbot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shaadclt%2FChatbot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shaadclt","download_url":"https://codeload.github.com/shaadclt/Chatbot/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245999595,"owners_count":20707568,"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":["nlp","nltk","streamlit"],"created_at":"2024-12-07T15:11:46.736Z","updated_at":"2026-05-02T09:32:25.053Z","avatar_url":"https://github.com/shaadclt.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Chatbot\n\nThis is a simple chatbot implemented using Python and Streamlit. The chatbot uses a logistic regression classifier with TF-IDF vectorization to classify user input and generate appropriate responses. It can handle various intents such as greetings, goodbyes, thanks, and provides information on topics like budgets and credit scores.\n\n## Installation\n\n1. Clone the repository:\n   ```shell\n   git clone https://github.com/shaadclt/Chatbot.git\n   ```\n\n2. Change to the project directory:\n   ```shell\n   cd chatbot\n   ```\n\n3. Install the required dependencies:\n   ```shell\n   pip install -r requirements.txt\n   ```\n\n4. Run the chatbot:\n   ```shell\n   streamlit run app.py\n   ```\n\n## Usage\n\nOnce the chatbot is running, a web interface will open in your browser. Type a message in the input box and press Enter to start the conversation. The chatbot will respond based on the input and display the response in the chat area.\n\nYou can have a conversation with the chatbot by typing messages and pressing Enter. \n## Customization\n\nIf you want to customize the chatbot's behavior or add new intents, you can modify the `intents` list in the `app.py` file. Each intent consists of a tag, patterns (user input variations), and corresponding responses.\n\nYou can also modify the training data, add more features, or use more sophisticated models to enhance the chatbot's capabilities.\n\n## Contributing\n\nContributions to this project are welcome. If you encounter any issues or have suggestions for improvement, please open an issue or submit a pull request on the GitHub repository.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.\n\n## Acknowledgments\n\n- The chatbot code is based on the [Streamlit](https://www.streamlit.io/) library and the scikit-learn machine learning library.\n- The project uses the [Natural Language Toolkit (NLTK)](https://www.nltk.org/) for text processing and tokenization.\n\nFeel free to customize and improve the README file based on your specific needs and additional information about the project.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshaadclt%2Fchatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshaadclt%2Fchatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshaadclt%2Fchatbot/lists"}