Welcome to the Equity Research News Analysis Tool! This project is designed to streamline and enhance equity research by leveraging advanced language models and state-of-the-art technologies. The tool enables users to input a set of news article URLs and query the system to extract and analyze relevant information based on those articles.
- News Article Input: Provide multiple news article URLs to the tool.
- Contextual Querying: Ask questions related to the articles and receive insightful answers.
- End-to-End Workflow: From data ingestion to analysis, all handled seamlessly.
- Technology Stack: Built using LangChain, OpenAI, and Streamlit.
LangChain: A framework for developing applications with language models. OpenAI: Provides the powerful language models for understanding and generating text. Streamlit: Used for creating the interactive user interface
Input News Articles:
Enter URLs of the news articles you want to analyze in the provided input field. Ask Questions:
Type in any questions related to the content of the news articles, and the tool will provide detailed responses based on the analyzed data. Explore Results:
View the analysis and insights generated by the tool through the Streamlit interface. Contributing Contributions are welcome! If you have suggestions or improvements, please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
