AI Voice Agent
Basic Information
This repository provides a self-hosted AI voice agent designed to handle live voice calls and respond in real time. The project is presented as an open-source application that can be used for tasks like sales calls and customer support. The README states the runtime requirement is Python 3.11 and that the agent relies on Deepgram and OpenAI API keys. Basic operational steps are included: configure environment variables, create a virtual environment, install dependencies from requirements.txt, and run the application with python app.py. The repository also references supporting walkthroughs in the form of a YouTube tutorial and a Medium article that explain setup and use cases.
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App Details
Features
Real-time voice call handling and response generation is the core feature, enabling interactive spoken conversations. The agent integrates speech-to-text and language model APIs via Deepgram and OpenAI, requiring corresponding API keys for operation. It is self-hosted, allowing deployment and control within a user environment. The project includes standard Python deployment steps such as using a virtual environment and installing packages from requirements.txt. A single entrypoint script app.py is provided to start the application. The README links to a YouTube tutorial and a Medium guide for setup and demonstration, which supplement the minimal instructions in the repository.
Use Cases
This project helps teams prototype or deploy a voice-enabled assistant that can take and respond to calls in real time, reducing the need to build telephony and speech integration from scratch. It is useful for automating repetitive phone interactions such as sales outreach and customer support triage. Self-hosting gives organizations control over data flow and deployment. The dependency and run instructions make it straightforward to test locally using Python 3.11 and API keys. Tutorial and article resources help users replicate the example quickly and learn how to configure the Deepgram and OpenAI integrations for their own conversational flows.
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