{"id":17445625,"url":"https://github.com/akshaya13/qanda-chatbot","last_synced_at":"2026-04-30T20:33:08.806Z","repository":{"id":258079813,"uuid":"872702459","full_name":"akshaya13/QandA-ChatBot","owner":"akshaya13","description":"Conversational ChatBot with Message History","archived":false,"fork":false,"pushed_at":"2025-02-12T01:25:53.000Z","size":57,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T03:18:05.785Z","etag":null,"topics":["chatbot","langchain","langsmith","ollama","openai"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/akshaya13.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":"2024-10-14T23:19:30.000Z","updated_at":"2025-02-12T01:25:56.000Z","dependencies_parsed_at":"2024-10-18T04:49:47.363Z","dependency_job_id":null,"html_url":"https://github.com/akshaya13/QandA-ChatBot","commit_stats":null,"previous_names":["akshaya13/qanda-chatbot"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akshaya13%2FQandA-ChatBot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akshaya13%2FQandA-ChatBot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akshaya13%2FQandA-ChatBot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akshaya13%2FQandA-ChatBot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/akshaya13","download_url":"https://codeload.github.com/akshaya13/QandA-ChatBot/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245960837,"owners_count":20700783,"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":["chatbot","langchain","langsmith","ollama","openai"],"created_at":"2024-10-17T18:06:23.253Z","updated_at":"2026-04-30T20:33:08.765Z","avatar_url":"https://github.com/akshaya13.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Conversational Q\u0026A ChatBot with Ollama\n\n### Demo: https://akshaya-chatbot-ollama.streamlit.app/\n\nA Q\u0026A Chatbot built using Streamlit that allows users to interact with various AI models like Llama3, Llama2, and Gemma:2b for generating responses to user queries. The project integrates LangChain for prompt management and Ollama for accessing different models, providing a flexible and customizable chatbot experience.\n\n## Tech Stack:\n\nPython, Streamlit, LangChain, Ollama (llama3, llama2, gemma:2b), Langsmith\n\n## Features:\n\n* Multiple Model Support: Users can choose between Llama3, Llama2, and Gemma:2b based on their needs.\n* Customizable Responses: Adjustable settings for temperature and max tokens to control response style and length.\n* User-Friendly Interface: Simple input field and submission button for asking queries, with real-time response generation.\n* Environment Configuration: Uses .env files for secure API key management and tracking settings with Langsmith.\n\n# Q\u0026A ChatBot with OpenAI\n\n### Demo: https://akshaya-chatbot-openai.streamlit.app/\n\nA Q\u0026A Chatbot application using Streamlit that enables users to interact with OpenAI models like GPT-4. It leverages LangChain's prompt management to streamline query processing and OpenAI's API for generating responses. The app offers customization options for the model's behavior through adjustable parameters.\n\n## Tech Stack:\nPython, Streamlit, OpenAI API, LangChain, dotenv\n\n## Features:\n* Multiple OpenAI Model Selection: Users can select models like GPT-4, GPT-4-Turbo, and GPT-4o based on their preferences.\n* Customizable Output: Adjust temperature and max tokens through the interface to control response creativity and length.\n* Secure API Key Input: Users can securely input their OpenAI API key through the sidebar for accessing the models.\n* User-Friendly Query Input: Provides a simple input field for users to ask questions and receive real-time responses.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakshaya13%2Fqanda-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakshaya13%2Fqanda-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakshaya13%2Fqanda-chatbot/lists"}