Welcome to NetSpeak Prodigy, your go-to solution for generating human-like responses to natural language inputs in offline environments. This innovative tool harnesses the power of Large Language Models (LLMs) to provide a seamless conversational experience even when your network is not connected to the internet.
NetSpeak Prodigy leverages advanced LLMs to produce human-like responses, ensuring natural and engaging conversations. Whether you're in a remote area or facing internet connectivity issues, NetSpeak Prodigy has you covered.
Extract meaningful insights from lengthy documents using our abstractive and extractive summarization features. Choose between concise human-like summaries or context-preserving summaries based on your preference.
Break language barriers by translating your summaries into your preferred language. NetSpeak Prodigy promotes inclusivity by allowing users to access information in the language they are most comfortable with.
Identify core concepts within documents effortlessly. The keyword extraction feature ensures that you grasp the essence of the content without delving into lengthy texts.
Make information accessible to everyone, including the visually impaired, with our text-to-speech functionality. NetSpeak Prodigy transforms text into spoken words, enhancing overall user accessibility.
Download your summaries in various formats, such as TXT, DOCX, and PDF. This flexibility ensures that you can access and share information in the most convenient way for you.
To begin using NetSpeak Prodigy, follow these simple steps:
- Clone this repository to your local machine.
- Install the required dependencies by running
pip install -r requirements.txt. - Upload your PDF file using the provided interface.
- Choose your preferred summarization mode and click "Generate Summary."
We welcome contributions from the community! If you have ideas for improvements or new features, please submit a pull request. For major changes, please open an issue first to discuss the proposed changes.
This project is licensed under the MIT License - see the LICENSE file for details.
- Special thanks to the developers of the transformers library for their incredible work.
- The NetSpeak Prodigy team extends gratitude to the open-source community for their valuable contributions.
Happy Conversing with NetSpeak Prodigy!