EmPowerYou

[GeorgePPP]

Sentiment Analysis App with News Scraping Function

[codeautopilot]

PR summary

This Pull Request introduces a Flask-based web application for sentiment analysis of news articles. The application fetches news articles using the NewsAPI, scrapes their content, analyzes the sentiment using a pretrained BERTweet model, and stores the results in a SQLite database. The application includes a user interface for inputting topics and dates, viewing fetched news articles, and displaying past sentiment analysis results.

Suggestion

1. Security Improvement: Remove the hardcoded NewsAPI key from the docker-compose.yml file and use environment variables or secrets management to handle sensitive information.
2. Code Optimization: Consider refactoring the app.py file to separate concerns more clearly, such as moving database operations to a separate module.
3. Error Handling: Enhance error handling in the get_article and get_metadata functions to provide more user-friendly error messages.
4. Testing: Add unit tests for the utility functions and integration tests for the Flask endpoints to ensure robustness.

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