Project Overview: ChatGPT Smart Speaker
The ChatGPT Smart Speaker project is an innovative blend of speech recognition and text-to-speech technology, harnessed through the power of OpenAI and Google Speech Recognition. This project proposes a smart speaker system, reminiscent in function to popular voice-controlled assistants, but with enhanced customizable features and capabilities.
Key Features and Components
Equipment List
To build the ChatGPT Smart Speaker, a few pieces of hardware are essential:
- Raspberry Pi 4b (4GB): Acts as the central processing unit.
- VMini External USB Stereo Speaker: Provides audio output.
- VReSpeaker 4-Mic Array: Enhances voice capture with multiple microphones.
- ANSMANN 10,000mAh Type-C 20W PD Power Bank: Powers the setup for extended operation.
Software Capabilities
-
Voice Activation and Recognition:
- The system can be activated by a set 'wake word', currently set to "Jeffers".
- Speech input is processed using Python scripts (
chat.pyandtest.pyfor PCs/Macs, andpi.pyfor Raspberry Pi).
-
Integration with Artificial Intelligence:
- User commands are sent to OpenAI to generate responses which are then converted to audio using the gTTS (Google Text-to-Speech) service.
-
Customizability:
- Users can modify models, languages, and response characteristics through script adjustments.
Running the System
On a PC/Mac:
- Scripts
chat.pyandtest.pyutilize the system microphone and speaker for input and output. chat.pyremains active, providing continuous interaction, whereastest.pyactivates upon hearing the specific wake command.
On Raspberry Pi:
- The
pi.pyscript represents a more sophisticated evolution of the system. It incorporates a custom wake word model built via PicoVoice, improving efficiency and the user's experience. - Requires the installation of several dependencies and a configured environment to execute successfully.
Getting Started
Prerequisites:
- Valid OpenAI API key and set up environment variables to manage API keys securely.
- Python 3.7.3 or higher, alongside several Python packages and dependencies which can be installed using pip.
Installation Steps for Raspberry Pi:
- Update and Install Packages: Begin with system updates and package installations necessary for audio handling and functionality.
- Follow Setup Guides: Configure additional hardware, such as the ReSpeaker 4-Mic Array, following specific setup guides for device integration.
- Configure Audio Output: Finalize by setting the preferred audio output through system configurations on the Raspberry Pi.
Usage Example
For using chat.py:
- Ensure API key setup in a
.envfile. - Execute script using
python chat.py. - Speak your query into the connected microphone, and listen as the smart speaker articulates the generated response.
For pi.py on Raspberry Pi:
- Prepare necessary API keys and dependencies.
- Run the script by
python3 pi.py, say the wake word, and interact with the smart speaker by asking questions or issuing commands.
Customization Options
- Change the AI model for varied performance and response styles.
- Select a different language for the text-to-speech conversion.
- Modify response generation parameters to tailor the system’s interactivity.
Important Considerations
- Specific dependencies like PortAudio and GStreamer may be vital for full functionality, especially on Raspberry Pi.
- Customization examples, scripts, and further development resources are available to enhance this project's capabilities.
Acknowledgements
This project builds on the works of other developers and the support of technology providers such as Seeed Technology Limited. Special thanks to repositories and scripts that support the APA102 LED and ReSpeaker functionality.
For more detailed project developments and future enhancements, visit the project update page on Medium.
This innovative project not only provides a fascinating approach to smart home technology but also gives tech enthusiasts the opportunity to explore and expand their understanding of AI and speech technology capabilities.