# AI Parrot: Python package for creating Chatbots
This is an open-source Python package for creating Chatbots based on Langchain and Navigator.
This README provides instructions for installation, development, testing, and releasing Parrot.
## Installation
**Creating a virtual environment:**
This is recommended for development and isolation from system-wide libraries.
Run the following command in your terminal:
Debian-based systems installation:
```
sudo apt install gcc python3.11-venv python3.11-full python3.11-dev libmemcached-dev zlib1g-dev build-essential libffi-dev unixodbc unixodbc-dev libsqliteodbc libev4 libev-dev
```
For Qdrant installation:
```
docker pull qdrant/qdrant
docker run -d -p 6333:6333 -p 6334:6334 --name qdrant -v $(pwd)/qdrant_storage:/qdrant/storage:z qdrant/qdrant
```
For VertexAI, creates a folder on "env" called "google" and copy the JSON credentials file into it.
```bash
make venv
```
This will create a virtual environment named `.venv`. To activate it, run:
```bash
source .venv/bin/activate # Linux/macOS
```
Once activated, install Parrot within the virtual environment:
```bash
make install
```
The output will remind you to activate the virtual environment before development.
**Optional** (for developers):
```bash
pip install -e .
```
## Start http server
```bash
python run.py
```
## Development Setup
This section explains how to set up your development environment:
1. **Install development requirements:**
```bash
make setup
```
This installs development dependencies like linters and test runners mentioned in the `docs/requirements-dev.txt` file.
2. **Install Parrot in editable mode:**
This allows you to make changes to the code and test them without reinstalling:
```bash
make dev
```
This uses `flit` to install Parrot in editable mode.
### Usage (Replace with actual usage instructions)
*Once you have set up your development environment, you can start using Parrot.*
#### Test with Code ChatBOT
* Set environment variables for:
[google]
GOOGLE_API_KEY=apikey
GOOGLE_CREDENTIALS_FILE=.../credentials.json
VERTEX_PROJECT_ID=vertex-project
VERTEX_REGION=region
* Run the chatbot:
```bash
python examples/test_agent.py
```
### Testing
To run the test suite:
```bash
make test
```
This will run tests using `coverage` to report on code coverage.
### Code Formatting
To format the code with black:
```bash
make format
```
### Linting
To lint the code for style and potential errors:
```bash
make lint
```
This uses `pylint` and `black` to check for issues.
### Releasing a New Version
This section outlines the steps for releasing a new version of Parrot:
1. **Ensure everything is clean and tested:**
```bash
make release
```
This runs `lint`, `test`, and `clean` tasks before proceeding.
2. **Publish the package:**
```bash
make release
```
This uses `flit` to publish the package to a repository like PyPI. You'll need to have publishing credentials configured for `flit`.
### Cleaning Up
To remove the virtual environment:
```bash
make distclean
```
### Contributing
We welcome contributions to Parrot! Please refer to the CONTRIBUTING.md file for guidelines on how to contribute.
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"description": "# AI Parrot: Python package for creating Chatbots\nThis is an open-source Python package for creating Chatbots based on Langchain and Navigator.\nThis README provides instructions for installation, development, testing, and releasing Parrot.\n\n## Installation\n\n**Creating a virtual environment:**\n\nThis is recommended for development and isolation from system-wide libraries.\nRun the following command in your terminal:\n\nDebian-based systems installation:\n ```\n sudo apt install gcc python3.11-venv python3.11-full python3.11-dev libmemcached-dev zlib1g-dev build-essential libffi-dev unixodbc unixodbc-dev libsqliteodbc libev4 libev-dev\n ```\n\n For Qdrant installation:\n ```\n docker pull qdrant/qdrant\n docker run -d -p 6333:6333 -p 6334:6334 --name qdrant -v $(pwd)/qdrant_storage:/qdrant/storage:z qdrant/qdrant\n ```\n\nFor VertexAI, creates a folder on \"env\" called \"google\" and copy the JSON credentials file into it.\n\n ```bash\n make venv\n ```\n\n This will create a virtual environment named `.venv`. To activate it, run:\n\n ```bash\n source .venv/bin/activate # Linux/macOS\n ```\n\n Once activated, install Parrot within the virtual environment:\n\n ```bash\n make install\n ```\n The output will remind you to activate the virtual environment before development.\n\n **Optional** (for developers):\n ```bash\n pip install -e .\n ```\n\n## Start http server\n```bash\npython run.py\n```\n\n## Development Setup\n\nThis section explains how to set up your development environment:\n\n1. **Install development requirements:**\n\n ```bash\n make setup\n ```\n\n This installs development dependencies like linters and test runners mentioned in the `docs/requirements-dev.txt` file.\n\n2. **Install Parrot in editable mode:**\n\n This allows you to make changes to the code and test them without reinstalling:\n\n ```bash\n make dev\n ```\n\n This uses `flit` to install Parrot in editable mode.\n\n\n### Usage (Replace with actual usage instructions)\n\n*Once you have set up your development environment, you can start using Parrot.*\n\n#### Test with Code ChatBOT\n* Set environment variables for:\n [google]\n GOOGLE_API_KEY=apikey\n GOOGLE_CREDENTIALS_FILE=.../credentials.json\n VERTEX_PROJECT_ID=vertex-project\n VERTEX_REGION=region\n\n* Run the chatbot:\n ```bash\n python examples/test_agent.py\n ```\n\n### Testing\n\nTo run the test suite:\n\n```bash\nmake test\n```\n\nThis will run tests using `coverage` to report on code coverage.\n\n\n### Code Formatting\n\nTo format the code with black:\n\n```bash\nmake format\n```\n\n\n### Linting\n\nTo lint the code for style and potential errors:\n\n```bash\nmake lint\n```\n\nThis uses `pylint` and `black` to check for issues.\n\n\n### Releasing a New Version\n\nThis section outlines the steps for releasing a new version of Parrot:\n\n1. **Ensure everything is clean and tested:**\n\n ```bash\n make release\n ```\n\n This runs `lint`, `test`, and `clean` tasks before proceeding.\n\n2. **Publish the package:**\n\n ```bash\n make release\n ```\n\n This uses `flit` to publish the package to a repository like PyPI. You'll need to have publishing credentials configured for `flit`.\n\n\n### Cleaning Up\n\nTo remove the virtual environment:\n\n```bash\nmake distclean\n```\n\n\n### Contributing\n\nWe welcome contributions to Parrot! Please refer to the CONTRIBUTING.md file for guidelines on how to contribute.\n",
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