Jarvis Conversationalist
Jarvis Conversationalist is a Python-based project that provides a conversational interface using OpenAI's GPT-4 model. It uses text-to-speech and speech-to-text functionalities to facilitate a more interactive and engaging user experience.
Features
- Real-time text-to-speech conversion: The application converts text responses from the GPT-4 model into speech, providing an auditory response to the user.
- Speech-to-text conversion: The application can convert spoken user input into text, which is then processed by the GPT-4 model.
- Multiprocessing and threading: The application uses Python's multiprocessing and threading capabilities to handle multiple tasks concurrently, ensuring smooth and responsive operation.
- Configurable: The application allows users to set their OpenAI API username and key, and also provides an option to reset these settings.
Installation
This package is availible here https://pypi.org/project/jarvis-conversationalist/
This project requires Python 3.11 or later. This app currently works on Mac and Linux (which can cuda accelerate if able):
pip install jarvis_conversationalist
Usage
To start the application run this in your terminal after pip installing:
jarvis
You can interrupt the conversation by pressing "Enter". To quit the application, press "Esc" then "Enter".
Configuration
You can set your OpenAI API username and key using the --user and --key command-line arguments, respectively:
jarvis --user YOUR_USERNAME --key YOUR_KEY
To reset the saved username and key, use the --reset command-line argument:
jarvis --reset
Non Technical Installation Instructions
Installing Jarvis Conversationalist on a Mac=
1. Install Python:
Jarvis Conversationalist requires Python 3.11 or later.
Go to the Python official website and download the version 3.11 for Mac.
or just download this...
https://www.python.org/ftp/python/3.11.0/python-3.11.0-macos11.pkg
Open the downloaded file and follow the installation instructions.
2. Install Jarvis Conversationalist:
In Terminal, type:
pip3.11 install jarvis_conversational
Then press Enter.
Wait for the installation to complete.
3. Finding Your OpenAI API Key - Create Open an OpenAI Account:
Visit OpenAI's website and sign up or log in. After logging in, navigate to the API section.
https://platform.openai.com/api-keys
4. Generate an API Key:
In the API section, you should see an option to create a new API key.
Follow the instructions to generate a new key.
Once generated, make sure to copy and save your API key in a secure place.
Using Jarvis Conversationalist
5. Start the Application:
To set your OpenAI API username and key, use:
jarvis --user YOUR_USERNAME --key YOUR_KEY
Replace YOUR_USERNAME and YOUR_KEY with your actual OpenAI username and API key.
After your first successful use go to terminal
jarvis
Then press Enter, to use Jarvis!
6. Updating Jarvis Conversationalist:
To update Jarvis Conversationalist, use:
pip3.11 install --upgrade jarvis_conversationalist
Contributing
Contributions are welcome! Please feel free to submit a pull request.
License
This project is licensed under the terms of the GPL 3 license.
Metadata
Release files for jarvis-conversationalist 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jarvis_conversationalist-0.5.1.tar.gz | 8.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jarvis_conversationalist-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.5 MB
Release files / jarvis_conversationalist-0.5.1.tar.gz
| Download URL | jarvis_conversationalist-0.5.1.tar.gz |
|---|---|
| Size | 8.8 MB |
| Tags | Source |
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Release files / jarvis_conversationalist-0.5.1-py3-none-any.whl
| Download URL | jarvis_conversationalist-0.5.1-py3-none-any.whl |
|---|---|
| Size | 8.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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