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Stock News Assistant

Stock News Assistant is an interactive Python application designed to keep you informed about the latest news of publicly traded companies. Leveraging voice recognition, natural language processing, and text-to-speech technologies, it provides a seamless, hands-free way to fetch, summarize, and listen to news articles about stock tickers. It also features voice cloning, allowing a personalized and unique user experience.

Features

  • Voice Interaction: Speak to the assistant to provide company names, and it responds with relevant news summaries.
  • Ticker Recognition: Matches spoken company names with S&P 500 and NASDAQ-100 stock tickers.
  • Real-Time News Aggregation: Retrieves up-to-date news articles from the Alpha Vantage API.
  • Summarized Insights: Uses advanced NLP models from Hugging Face to summarize lengthy articles into concise and meaningful information.
  • Text-to-Speech Conversion: Reads news summaries aloud using customizable voices through the Coqui TTS API.
  • Voice Cloning:
    • Supports personalized voice synthesis by cloning a user's or preferred speaker's voice from a 6-second audio clip.
    • Allows users to configure the assistant to read out summaries in their own voice or another speaker's voice for a unique and engaging experience.
  • Interactive Commands: Responds to user commands like "exit" to quit the application or continue fetching news for other companies.

Usage

  1. Run the Assistant:
    python stock_news_assistant.py
  2. Interact with the Assistant:
    • Speak the name of a company (e.g., "Apple") when prompted.
    • The assistant identifies the stock ticker and retrieves the latest news.
    • Hear summaries of the top news articles.
    • If voice cloning is configured, the assistant reads out news summaries in the cloned voice.
    • Continue querying for other companies or say "exit" to quit.

Example Interaction

  • Assistant: "Please speak the company name."
  • User: "Microsoft"
  • Assistant: "Fetching news for MSFT..."
  • Assistant: Reads out the summarized news articles in the user-configured cloned voice.

Technologies Used

  • Natural Language Processing:

    • Hugging Face transformers for article summarization.
    • NLTK for tokenization and text preprocessing.
  • Voice Interaction:

    • speech_recognition for capturing and processing user voice input.
    • Coqui TTS for synthesizing spoken output.
    • Voice cloning for personalized text-to-speech experiences.
  • Web Scraping and Data Handling:

    • BeautifulSoup for extracting article content.
    • pandas for processing stock ticker data.
  • News Retrieval:

Experience the future of stock news updates with personalized voice cloning and intelligent summarization.