This is a Streamlit app that provides an overview of the stock market sentiment based on recent Google News articles. The app analyzes the sentiment of stock market-related news articles, and displays a bar chart to visualize the sentiment ratings for each stock, as well as a table with reasons behind each sentiment.

The app requires the following Python packages:

• pandas
• streamlit
• python-dotenv
• google_news_python
• openai

Install the dependencies with the following command:

pip install -r requirements.txt

The app requires a .env file in the project root directory with the following key:

• OPENAI_KEY: Your OpenAI API key for using the ChatGPT language model.

To run the Streamlit app, navigate to the project directory and execute the following command:

streamlit run main.py 

The app performs the following tasks:

1. Imports necessary modules and packages.
2. Loads the API keys from the .env file.
3. Retrieves stock market-related news articles using the GoogleNewsAPI class.
4. Performs sentiment analysis on the collected news articles using the StockSentimentAnalyzer class.
5. Displays the Google News Data in a table.
6. Displays a bar chart of sentiment ratings for each stock.
7. Displays a table with reasons behind each sentiment.

To analyze a different set of news articles or change the search query, update the argument passed to the get_data() method in the GoogleNewsAPI class instantiation:

google_news_data = google_news_api.get_data("<your-search-query>")