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Copilot Realtime Interviewer is an open-source project facilitating interactive, real-time interviews. Harnessing the power of real-time transcription and AI, it ensures smooth and direct communication, making the interview experience engaging and efficient for all users.

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Nel caso il progetto sia sotto licenza Apache 2.0, ecco come dovrebbe apparire il readme:

Copilot Realtime Interviewer

Overview

Copilot Realtime Interviewer is an open-source Jupyter notebook designed to facilitate interactive, real-time interviews. This tool harnesses the power of real-time speech-to-text transcription and AI to ensure smooth and direct communication, making the interviewing experience more engaging and efficient for all participants.

Features

  1. Real-time transcription: Uses AssemblyAI for real-time speech-to-text transcription to convert spoken language into written text.
  2. AI integration: Integrated with OpenAI's GPT model for enriching the interview interaction.
  3. Interactive interface: A clear and user-friendly interface allowing seamless conversation between the interviewee and AI.

Setup

To use the "Copilot Realtime Interviewer", you will need to:

  1. Clone the repository.

    git clone https://github.com/your_github_username/copilot_real_time_interview.git
    
  2. Obtain API keys from both AssemblyAI for the transcription service and OpenAI for the AI model. You need to set these keys as environment variables or replace them in the appropriate place in the code.

  3. Open the Jupyter notebook and run the cells from top to bottom to start the interviewing process.

Contributions

Feel free to fork the project, open issues, propose changes or make a Pull-Request. All forms of contribution are warmly welcomed from the community.

License

Copilot Realtime Interviewer is open-source software licensed under the Apache 2.0 license.

About

Copilot Realtime Interviewer is an open-source project facilitating interactive, real-time interviews. Harnessing the power of real-time transcription and AI, it ensures smooth and direct communication, making the interview experience engaging and efficient for all users.

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