{"id":15136039,"url":"https://github.com/sujata-adhikari/large-language-model","last_synced_at":"2026-01-19T04:33:43.889Z","repository":{"id":214304544,"uuid":"730946396","full_name":"sujata-adhikari/Large-Language-Model","owner":"sujata-adhikari","description":"Tool to extract financial news from articles can be approached using Langchain and OpenAI techniques. Enter the URL's in the tools and asked the question.","archived":false,"fork":false,"pushed_at":"2024-01-04T09:35:21.000Z","size":317,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T08:33:03.748Z","etag":null,"topics":["jyputer-notebook","llm","openai","pickel","pycharm-ide","streamlit"],"latest_commit_sha":null,"homepage":"","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/sujata-adhikari.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":"2023-12-13T02:50:49.000Z","updated_at":"2024-01-08T12:47:52.000Z","dependencies_parsed_at":"2024-01-04T10:35:43.125Z","dependency_job_id":"ef841efa-78b8-4492-a452-0096718e2e41","html_url":"https://github.com/sujata-adhikari/Large-Language-Model","commit_stats":null,"previous_names":["sujata-adhikari/llm","sujata-adhikari/large-language-model"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FLarge-Language-Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FLarge-Language-Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FLarge-Language-Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sujata-adhikari%2FLarge-Language-Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sujata-adhikari","download_url":"https://codeload.github.com/sujata-adhikari/Large-Language-Model/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247425430,"owners_count":20936948,"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":["jyputer-notebook","llm","openai","pickel","pycharm-ide","streamlit"],"created_at":"2024-09-26T06:03:49.313Z","updated_at":"2026-01-19T04:33:43.882Z","avatar_url":"https://github.com/sujata-adhikari.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Financial Insights\n\nA user-friendly news research tool designed for effortless information retrieval. Users can input article URLs and ask questions to receive relevant insights from the stock market and financial domain.\n\n\n\n## Features\n\n- Load URLs or upload text files containing URLs to fetch article content.\n- Process article content through LangChain's UnstructuredURL Loader\n- Construct an embedding vector using OpenAI's embeddings and leverage FAISS, a powerful similarity search library, to enable swift and effective retrieval of relevant information\n- Interact with the LLM's (Chatgpt) by inputting queries and receiving answers along with source URLs.\n\n\n## Installation\n\n1.Clone this repository to your local machine using:\n\n```bash\n  git clone https://github.com/\n```\n2.Navigate to the project directory:\n\n3. Install the required dependencies using pip:\n\n```bash\n  pip install -r requirements.txt\n```\n4.Set up your OpenAI API key by creating a .env file in the project root and adding your API\n\n```bash\n  OPENAI_API_KEY=your_api_key_here\n```\n## Usage/Examples\n\n1. Run the Streamlit app by executing:\n```bash\nstreamlit run main.py\n\n```\n\n## Project Structure\n\n- main.py: The main Streamlit application script.\n- requirements.txt: A list of required Python packages for the project.\n- faiss_store_openai.pkl: A pickle file to store the FAISS index.\n- .env: Configuration file for storing your OpenAI API key.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsujata-adhikari%2Flarge-language-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsujata-adhikari%2Flarge-language-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsujata-adhikari%2Flarge-language-model/lists"}