# NasdaqGPT The main goal of our project is to develop a chatbot that serves as a financial advisor, providing quick and accurate answers to questions about companies listed on NASDAQ. For context, NASDAQ is one of the largest stock exchanges in the world, known for its high-tech stocks and innovative companies. ## Requirements - Python >= 3.10.12 - pip - Access to AWS with the necessary credentials ## Project Configuration 1. Clone this repository: ```bash git clone https://github.com/tu-usuario/aws_s3_data_downloader.git cd aws_s3_data_downloader.git ``` 2. Create and activate a virtual environment: For Unix (Linux/MacOS): ```bash python3 -m venv venv source venv/bin/activate ``` For Windows: ```bash python -m venv venv venv\Scripts\activate ``` 3. Install the dependencies: ```bash pip install -r requirements.txt ``` 4. Create a `.env` file in the project root directory with the following content, replacing the values ​​with your AWS credentials: ```env AWS_ACCESS_KEY_ID=your_access_key_id AWS_SECRET_ACCESS_KEY=your_secret_access_key BUCKET_NAME=anyoneai-datasets PREFIX=nasdaq_annual_reports/ LLAMAPARSE_API_KEY='YOUR_LLAMAPARSE_API_KEY' OPENAI_API_KEY='YOUR_OPENAI_API_KEY' ``` 5. Run all cells in data_exploration.ipynb ## Use You have two options to run the chatbot. 1. Generate a virtual environment and run the following command in your terminal to install all the dependencies: ```bash streamlit run index.py ``` 2. Run the following command in your terminal to build a docker image with the DockerFile, after the process finished, go to the next url in a browser: `http://localhost:8501/`, just remember to execute [data_exploration.ipynb](notebooks%2Fdata_exploration.ipynb) before it, to generate the vectorestore. ```bash docker build . ``` ## Questions Examples You can try for example this questions: Question: What was 1-800-Flowers.com, Inc.'s cost of revenues in 2022? Expected Answer: In 2022, 1-800-Flowers.com, Inc.'s cost of revenues was $1,386.1 million. Reference:NASDAQ_FLWS_2022_page66. Question: What type of cloud services did 21Vianet Group, Inc. start offering in 2013 and 2014? Expected Answer: In 2013, 21Vianet Group, Inc. started offering public cloud services, and in 2014, private cloud services and hybrid cloud services. Reference PDF: NASDAQ_VNET_2015_page 67 Question: What was 21Vianet Group, Inc.'s basic loss per share in 2018 and 2019 Expected Answer: 21Vianet Group, Inc.'s basic loss per share in 2018 was (0.30) RMB, and in 2019 it was (0.27) RMB (0.04 USD). Reference PDF: NASDAQ_VNET_2019_page_4# FinAdvisor