diff --git a/.github/workflows/upload-package.yml b/.github/workflows/upload-package.yml
index 5d85ca53..75896f93 100644
--- a/.github/workflows/upload-package.yml
+++ b/.github/workflows/upload-package.yml
@@ -1,34 +1,44 @@
name: Upload Python Package
on:
- push:
- tags:
- - 'v*'
+ push:
+ tags:
+ - "v*"
jobs:
- deploy:
- runs-on: ubuntu-latest
- steps:
- - uses: actions/checkout@v3
+ test:
+ runs-on: ${{ matrix.os }}
+ strategy:
+ matrix:
+ python-version: [3.9, 3.10, 3.11, 3.12]
+ os: [ubuntu-latest, macOS-latest, windows-latest]
- - name: Set up Python
- uses: actions/setup-python@v3
- with:
- python-version: '3.8'
+ steps:
+ - uses: actions/checkout@v3
+ - name: Set up PDM
+ uses: pdm-project/setup-pdm@v3
+ with:
+ python-version: ${{ matrix.python-version }}
- - name: Install dependencies
- run: |
- python -m pip install --upgrade pip
- pip install setuptools wheel twine
+ - name: Install dependencies
+ run: |
+ pdm sync -d
+ - name: Run Tests
+ run: |
+ pdm run -v pytest tests
- - name: Build and check package
- run: |
- python setup.py sdist bdist_wheel
- twine check dist/*
-
- - name: Upload to PyPi
- uses: pypa/gh-action-pypi-publish@v1.4.2
- with:
- user: __token__
- password: ${{ secrets.PYPI_API_TOKEN }}
+ pypi-publish:
+ name: upload release to PyPI
+ runs-on: ubuntu-latest
+ permissions:
+ # This permission is needed for private repositories.
+ contents: read
+ # IMPORTANT: this permission is mandatory for trusted publishing
+ id-token: write
+ steps:
+ - uses: actions/checkout@v3
+ - uses: pdm-project/setup-pdm@v3
+
+ - name: Publish package distributions to PyPI
+ run: pdm publish
diff --git a/.gitignore b/.gitignore
index f23fd690..77d60442 100644
--- a/.gitignore
+++ b/.gitignore
@@ -108,6 +108,7 @@ ipython_config.py
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
+.pdm-python
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
diff --git a/README.md b/README.md
index 7826f798..bc56725a 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
A framework to enable multimodal models to operate a computer.
- Using the same inputs and outputs as a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
+ Using the same inputs and outputs as a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective.
@@ -16,139 +16,172 @@
**This model is currently experiencing an outage so the self-operating computer may not work as expected.**
-->
-
## Key Features
+
- **Compatibility**: Designed for various multimodal models.
- **Integration**: Currently integrated with **GPT-4v, Gemini Pro Vision, and LLaVa.**
- **Future Plans**: Support for additional models.
## Ongoing Development
+
At [HyperwriteAI](https://www.hyperwriteai.com/), we are developing Agent-1-Vision a multimodal model with more accurate click location predictions.
## Agent-1-Vision Model API Access
+
We will soon be offering API access to our Agent-1-Vision model.
If you're interested in gaining access to this API, sign up [here](https://othersideai.typeform.com/to/FszaJ1k8?typeform-source=www.hyperwriteai.com).
## Demo
-https://github.com/OthersideAI/self-operating-computer/assets/42594239/9e8abc96-c76a-46fb-9b13-03678b3c67e0
-
+
## Run `Self-Operating Computer`
1. **Install the project**
-```
-pip install self-operating-computer
-```
+
+ ```bash
+ pip install self-operating-computer
+ ```
+
2. **Run the project**
-```
-operate
-```
+
+ ```bash
+ operate
+ ```
+
3. **Enter your OpenAI Key**: If you don't have one, you can obtain an OpenAI key [here](https://platform.openai.com/account/api-keys)
-
-

-
+
+

+
4. **Give Terminal app the required permissions**: As a last step, the Terminal app will ask for permission for "Screen Recording" and "Accessibility" in the "Security & Privacy" page of Mac's "System Preferences".
-
-

-

-
+
+

+

+
### Alternatively installation with `.sh`
1. **Clone the repo** to a directory on your computer:
-```
-git clone https://github.com/OthersideAI/self-operating-computer.git
-```
+
+ ```bash
+ git clone https://github.com/OthersideAI/self-operating-computer.git
+ ```
+
2. **Cd into directory**:
-```
-cd self-operating-computer
-```
+ ```bash
+ cd self-operating-computer
+ ```
-3. **Run the installation script**:
+3. **Run the installation script**:
-```
-./run.sh
-```
+ ```bash
+ ./run.sh
+ ```
+
+## Development
+
+We use [PDM](https://pdm-project.org/latest/) as our package and dependency manager. You can find instructions for insallation and usage [here](https://pdm-project.org/latest/#recommended-installation-method).
## Using `operate` Modes
### Multimodal Models `-m`
-An additional model is now compatible with the Self Operating Computer Framework. Try Google's `gemini-pro-vision` by following the instructions below.
+
+An additional model is now compatible with the Self Operating Computer Framework. Try Google's `gemini-pro-vision` by following the instructions below.
Start `operate` with the Gemini model
-```
+
+```bash
operate -m gemini-pro-vision
```
**Enter your Google AI Studio API key when terminal prompts you for it** If you don't have one, you can obtain a key [here](https://makersuite.google.com/app/apikey) after setting up your Google AI Studio account. You may also need [authorize credentials for a desktop application](https://ai.google.dev/palm_docs/oauth_quickstart). It took me a bit of time to get it working, if anyone knows a simpler way, please make a PR.
### Locally Hosted LLaVA Through Ollama
-If you wish to experiment with the Self-Operating Computer Framework using LLaVA on your own machine, you can with Ollama!
-*Note: Ollama currently only supports MacOS and Linux*
-First, install Ollama on your machine from https://ollama.ai/download.
+If you wish to experiment with the Self-Operating Computer Framework using LLaVA on your own machine, you can with Ollama!
+*Note: Ollama currently only supports MacOS and Linux*
+
+First, install Ollama on your machine from .
Once Ollama is installed, pull the LLaVA model:
-```
+
+```bash
ollama pull llava
```
-This will download the model on your machine which takes approximately 5 GB of storage.
+
+This will download the model on your machine which takes approximately 5 GB of storage.
When Ollama has finished pulling LLaVA, start the server:
-```
+
+```bash
ollama serve
```
That's it! Now start `operate` and select the LLaVA model:
-```
+
+```bash
operate -m llava
-```
+```
+
**Important:** Error rates when using LLaVA are very high. This is simply intended to be a base to build off of as local multimodal models improve over time.
Learn more about Ollama at its [GitHub Repository](https://www.github.com/ollama/ollama)
### Voice Mode `--voice`
-The framework supports voice inputs for the objective. Try voice by following the instructions below.
+
+The framework supports voice inputs for the objective. Try voice by following the instructions below.
**Clone the repo** to a directory on your computer:
-```
+
+```bash
git clone https://github.com/OthersideAI/self-operating-computer.git
```
+
**Cd into directory**:
-```
+
+```bash
cd self-operating-computer
```
+
Install the additional `requirements-audio.txt`
-```
+
+```bash
pip install -r requirements-audio.txt
```
+
**Install device requirements**
For mac users:
-```
+
+```bash
brew install portaudio
```
+
For Linux users:
-```
+
+```bash
sudo apt install portaudio19-dev python3-pyaudio
```
+
Run with voice mode
-```
+
+```bash
operate --voice
```
### Optical Character Recognition Mode `-m gpt-4-with-ocr`
-The Self-Operating Computer Framework now integrates Optical Character Recognition (OCR) capabilities with the `gpt-4-with-ocr` mode. This mode gives GPT-4 a hash map of clickable elements by coordinates. GPT-4 can decide to `click` elements by text and then the code references the hash map to get the coordinates for that element GPT-4 wanted to click.
-Based on recent tests, OCR performs better than `som` and vanilla GPT-4 so we made it the default for the project. To use the OCR mode you can simply write:
+The Self-Operating Computer Framework now integrates Optical Character Recognition (OCR) capabilities with the `gpt-4-with-ocr` mode. This mode gives GPT-4 a hash map of clickable elements by coordinates. GPT-4 can decide to `click` elements by text and then the code references the hash map to get the coordinates for that element GPT-4 wanted to click.
+
+Based on recent tests, OCR performs better than `som` and vanilla GPT-4 so we made it the default for the project. To use the OCR mode you can simply write:
- `operate` or `operate -m gpt-4-with-ocr` will also work.
+ `operate` or `operate -m gpt-4-with-ocr` will also work.
### Set-of-Mark Prompting `-m gpt-4-with-som`
+
The Self-Operating Computer Framework now supports Set-of-Mark (SoM) Prompting with the `gpt-4-with-som` command. This new visual prompting method enhances the visual grounding capabilities of large multimodal models.
Learn more about SoM Prompting in the detailed arXiv paper: [here](https://arxiv.org/abs/2310.11441).
@@ -157,35 +190,37 @@ For this initial version, a simple YOLOv8 model is trained for button detection,
Start `operate` with the SoM model
-```
+```bash
operate -m gpt-4-with-som
```
-
-
-## Contributions are Welcomed!:
+## Contributions are Welcomed
If you want to contribute yourself, see [CONTRIBUTING.md](https://github.com/OthersideAI/self-operating-computer/blob/main/CONTRIBUTING.md).
## Feedback
-For any input on improving this project, feel free to reach out to [Josh](https://twitter.com/josh_bickett) on Twitter.
+For any input on improving this project, feel free to reach out to [Josh](https://twitter.com/josh_bickett) on Twitter.
## Join Our Discord Community
-For real-time discussions and community support, join our Discord server.
+For real-time discussions and community support, join our Discord server.
+
- If you're already a member, join the discussion in [#self-operating-computer](https://discord.com/channels/877638638001877052/1181241785834541157).
- If you're new, first [join our Discord Server](https://discord.gg/YqaKtyBEzM) and then navigate to the [#self-operating-computer](https://discord.com/channels/877638638001877052/1181241785834541157).
## Follow HyperWriteAI for More Updates
Stay updated with the latest developments:
+
- Follow HyperWriteAI on [Twitter](https://twitter.com/HyperWriteAI).
- Follow HyperWriteAI on [LinkedIn](https://www.linkedin.com/company/othersideai/).
## Compatibility
+
- This project is compatible with Mac OS, Windows, and Linux (with X server installed).
## OpenAI Rate Limiting Note
-The ```gpt-4-vision-preview``` model is required. To unlock access to this model, your account needs to spend at least \$5 in API credits. Pre-paying for these credits will unlock access if you haven't already spent the minimum \$5.
+
+The ```gpt-4-vision-preview``` model is required. To unlock access to this model, your account needs to spend at least \$5 in API credits. Pre-paying for these credits will unlock access if you haven't already spent the minimum \$5.
Learn more **[here](https://platform.openai.com/docs/guides/rate-limits?context=tier-one)**
diff --git a/pdm.lock b/pdm.lock
new file mode 100644
index 00000000..99f8f9bd
--- /dev/null
+++ b/pdm.lock
@@ -0,0 +1,2279 @@
+# This file is @generated by PDM.
+# It is not intended for manual editing.
+
+[metadata]
+groups = ["default", "audio", "dev"]
+strategy = ["cross_platform", "inherit_metadata"]
+lock_version = "4.4.1"
+content_hash = "sha256:5cb92dace5e3b963ef2e80f2a54b422c1fc285bd5489411fa0f70a1a50e583de"
+
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+requires_python = ">=3.8"
+summary = "Reusable constraint types to use with typing.Annotated"
+groups = ["audio", "default"]
+files = [
+ {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+ {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[[package]]
+name = "anyio"
+version = "4.2.0"
+requires_python = ">=3.8"
+summary = "High level compatibility layer for multiple asynchronous event loop implementations"
+groups = ["default"]
+dependencies = [
+ "exceptiongroup>=1.0.2; python_version < \"3.11\"",
+ "idna>=2.8",
+ "sniffio>=1.1",
+ "typing-extensions>=4.1; python_version < \"3.11\"",
+]
+files = [
+ {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+ {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+]
+
+[[package]]
+name = "attrs"
+version = "23.2.0"
+requires_python = ">=3.7"
+summary = "Classes Without Boilerplate"
+groups = ["audio"]
+files = [
+ {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+ {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+]
+
+[[package]]
+name = "cachetools"
+version = "5.3.2"
+requires_python = ">=3.7"
+summary = "Extensible memoizing collections and decorators"
+groups = ["default"]
+files = [
+ {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
+ {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
+]
+
+[[package]]
+name = "certifi"
+version = "2024.2.2"
+requires_python = ">=3.6"
+summary = "Python package for providing Mozilla's CA Bundle."
+groups = ["audio", "default"]
+files = [
+ {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
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+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+requires_python = ">=3.7.0"
+summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+groups = ["audio", "default"]
+files = [
+ {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
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+requires_python = ">=3.7"
+summary = "Composable command line interface toolkit"
+groups = ["audio"]
+dependencies = [
+ "colorama; platform_system == \"Windows\"",
+]
+files = [
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+[[package]]
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+summary = "Cross-platform colored terminal text."
+groups = ["audio", "default", "dev"]
+marker = "sys_platform == \"win32\" or platform_system == \"Windows\""
+files = [
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+requires_python = ">=3.9"
+summary = "Python library for calculating contours of 2D quadrilateral grids"
+groups = ["default"]
+dependencies = [
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+]
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+groups = ["dev"]
+marker = "python_version < \"3.11\""
+files = [
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+
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+name = "torch"
+version = "2.2.0"
+requires_python = ">=3.8.0"
+summary = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+groups = ["audio", "default"]
+dependencies = [
+ "filelock",
+ "fsspec",
+ "jinja2",
+ "networkx",
+ "nvidia-cublas-cu12==12.1.3.1; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cuda-cupti-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cuda-runtime-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cudnn-cu12==8.9.2.26; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cufft-cu12==11.0.2.54; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-curand-cu12==10.3.2.106; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cusolver-cu12==11.4.5.107; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-cusparse-cu12==12.1.0.106; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-nccl-cu12==2.19.3; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "nvidia-nvtx-cu12==12.1.105; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "sympy",
+ "triton==2.2.0; platform_system == \"Linux\" and platform_machine == \"x86_64\"",
+ "typing-extensions>=4.8.0",
+]
+files = [
+ {file = "torch-2.2.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:dcbfb2192ac41ca93c756ebe9e2af29df0a4c14ee0e7a0dd78f82c67a63d91d4"},
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+
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+name = "torchvision"
+version = "0.17.0"
+requires_python = ">=3.8"
+summary = "image and video datasets and models for torch deep learning"
+groups = ["default"]
+dependencies = [
+ "numpy",
+ "pillow!=8.3.*,>=5.3.0",
+ "requests",
+ "torch==2.2.0",
+]
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+
+[[package]]
+name = "tqdm"
+version = "4.66.1"
+requires_python = ">=3.7"
+summary = "Fast, Extensible Progress Meter"
+groups = ["audio", "default"]
+dependencies = [
+ "colorama; platform_system == \"Windows\"",
+]
+files = [
+ {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
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+]
+
+[[package]]
+name = "transformers"
+version = "4.37.2"
+requires_python = ">=3.8.0"
+summary = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
+groups = ["audio"]
+dependencies = [
+ "filelock",
+ "huggingface-hub<1.0,>=0.19.3",
+ "numpy>=1.17",
+ "packaging>=20.0",
+ "pyyaml>=5.1",
+ "regex!=2019.12.17",
+ "requests",
+ "safetensors>=0.4.1",
+ "tokenizers<0.19,>=0.14",
+ "tqdm>=4.27",
+]
+files = [
+ {file = "transformers-4.37.2-py3-none-any.whl", hash = "sha256:595a8b12a1fcc4ad0ced49ce206c58e17be68c85d7aee3d7546d04a32c910d2e"},
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+]
+
+[[package]]
+name = "triton"
+version = "2.2.0"
+summary = "A language and compiler for custom Deep Learning operations"
+groups = ["audio", "default"]
+marker = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
+dependencies = [
+ "filelock",
+]
+files = [
+ {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
+]
+
+[[package]]
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+version = "4.9.0"
+requires_python = ">=3.8"
+summary = "Backported and Experimental Type Hints for Python 3.8+"
+groups = ["audio", "default"]
+files = [
+ {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
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+
+[[package]]
+name = "tzdata"
+version = "2023.4"
+requires_python = ">=2"
+summary = "Provider of IANA time zone data"
+groups = ["default"]
+files = [
+ {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
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+
+[[package]]
+name = "ultralytics"
+version = "8.1.10"
+requires_python = ">=3.8"
+summary = "Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification."
+groups = ["default"]
+dependencies = [
+ "matplotlib>=3.3.0",
+ "numpy>=1.22.2",
+ "opencv-python>=4.6.0",
+ "pandas>=1.1.4",
+ "pillow>=7.1.2",
+ "psutil",
+ "py-cpuinfo",
+ "pyyaml>=5.3.1",
+ "requests>=2.23.0",
+ "scipy>=1.4.1",
+ "seaborn>=0.11.0",
+ "thop>=0.1.1",
+ "torch>=1.8.0",
+ "torchvision>=0.9.0",
+ "tqdm>=4.64.0",
+]
+files = [
+ {file = "ultralytics-8.1.10-py3-none-any.whl", hash = "sha256:511abf021d10222ac36c9b6708134324cc0578a607b1ec432eb41af3efcb4318"},
+ {file = "ultralytics-8.1.10.tar.gz", hash = "sha256:cee9aa344709e64ad287f81a3daf203a8fa46ace3c2e1850cca138318c7f50a8"},
+]
+
+[[package]]
+name = "urllib3"
+version = "2.2.0"
+requires_python = ">=3.8"
+summary = "HTTP library with thread-safe connection pooling, file post, and more."
+groups = ["audio", "default"]
+files = [
+ {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
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+]
+
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+summary = "Measures the displayed width of unicode strings in a terminal"
+groups = ["default"]
+files = [
+ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
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+]
+
+[[package]]
+name = "whisper-mic"
+version = "1.4.0"
+requires_python = ">=3.9"
+summary = "Whisper for your microphone"
+groups = ["audio"]
+dependencies = [
+ "attrs",
+ "click",
+ "ffmpeg-python",
+ "importlib-metadata; python_version > \"3.9\"",
+ "more-itertools",
+ "numpy",
+ "openai-whisper",
+ "pyaudio",
+ "pydantic",
+ "pydub",
+ "pynput",
+ "requests",
+ "rich",
+ "speechrecognition",
+ "tdqm",
+ "torch",
+ "transformers",
+]
+files = [
+ {file = "whisper_mic-1.4.0-py3-none-any.whl", hash = "sha256:ee1f90c71363215ebdd4e3f98e4c6800597bb25cc9bbed1223af134570348e4b"},
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+]
+
+[[package]]
+name = "zipp"
+version = "3.17.0"
+requires_python = ">=3.8"
+summary = "Backport of pathlib-compatible object wrapper for zip files"
+groups = ["audio", "default"]
+files = [
+ {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+ {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+]
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 00000000..cef112ff
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,42 @@
+[project]
+name = "self-operating-computer"
+version = "1.3.1"
+description = "Default template for PDM package"
+authors = [{ name = "Josh Bickett", email = "josh@bickett.net" }]
+dependencies = [
+ "openai>=1.11.1",
+ "setuptools>=69.0.3",
+ "pillow>=10.2.0",
+ "easyocr>=1.7.1",
+ "ultralytics>=8.1.10",
+ "pyautogui>=0.9.54",
+ "python-dotenv>=1.0.1",
+ "google-generativeai>=0.3.2",
+ "prompt-toolkit>=3.0.43",
+ "python3-xlib>=0.15",
+ "ollama>=0.1.6",
+]
+requires-python = ">=3.9"
+readme = "README.md"
+license = { text = "MIT" }
+
+[project.scripts]
+operate = "operate.main:main_entry"
+
+[project.optional-dependencies]
+audio = ["whisper-mic>=1.4.0"]
+[tool.setuptools.packages.find]
+where = ["."]
+
+[tool.setuptools.package-data]
+"operate.models.weights" = ["best.pt"]
+
+
+[tool.pdm]
+distribution = true
+
+[tool.pdm.dev-dependencies]
+dev = ["pytest>=8.0.0"]
+[build-system]
+requires = ["setuptools", "wheel"]
+build-backend = "setuptools.build_meta"
diff --git a/requirements-audio.txt b/requirements-audio.txt
deleted file mode 100644
index c34750b0..00000000
--- a/requirements-audio.txt
+++ /dev/null
@@ -1 +0,0 @@
-whisper-mic
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 3ece1b54..00000000
--- a/requirements.txt
+++ /dev/null
@@ -1,54 +0,0 @@
-annotated-types==0.6.0
-anyio==3.7.1
-certifi==2023.7.22
-charset-normalizer==3.3.2
-colorama==0.4.6
-contourpy==1.2.0
-cycler==0.12.1
-distro==1.8.0
-EasyProcess==1.1
-entrypoint2==1.1
-exceptiongroup==1.1.3
-fonttools==4.44.0
-h11==0.14.0
-httpcore==1.0.2
-httpx>=0.25.2
-idna==3.4
-importlib-resources==6.1.1
-kiwisolver==1.4.5
-matplotlib==3.8.1
-MouseInfo==0.1.3
-mss==9.0.1
-numpy==1.26.1
-openai==1.2.3
-packaging==23.2
-Pillow==10.1.0
-prompt-toolkit==3.0.39
-PyAutoGUI==0.9.54
-pydantic==2.4.2
-pydantic_core==2.10.1
-PyGetWindow==0.0.9
-PyMsgBox==1.0.9
-pyparsing==3.1.1
-pyperclip==1.8.2
-PyRect==0.2.0
-pyscreenshot==3.1
-PyScreeze==0.1.29
-python3-xlib==0.15
-python-dateutil==2.8.2
-python-dotenv==1.0.0
-pytweening==1.0.7
-requests==2.31.0
-rubicon-objc==0.4.7
-six==1.16.0
-sniffio==1.3.0
-tqdm==4.66.1
-typing_extensions==4.8.0
-urllib3==2.0.7
-wcwidth==0.2.9
-zipp==3.17.0
-google-generativeai==0.3.0
-aiohttp==3.9.1
-ultralytics==8.0.227
-easyocr==1.7.1
-ollama==0.1.6
\ No newline at end of file
diff --git a/run.sh b/run.sh
index f26a3712..b6a5c774 100755
--- a/run.sh
+++ b/run.sh
@@ -108,9 +108,6 @@ run_script "python3 -m venv venv"
# Activate the virtual environment
source venv/bin/activate || { log_error "Unable to activate the virtual environment."; exit 1; }
-# Install project requirements
-run_script "pip install -r requirements.txt"
-
# Install Project and Command-Line Interface
run_script "pip install ."
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 3a886f22..00000000
--- a/setup.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from setuptools import setup, find_packages
-
-# Read the contents of your requirements.txt file
-with open("requirements.txt") as f:
- required = f.read().splitlines()
-
-# Read the contents of your README.md file for the project description
-with open("README.md", "r", encoding="utf-8") as readme_file:
- long_description = readme_file.read()
-
-setup(
- name="self-operating-computer",
- version="1.3.1",
- packages=find_packages(),
- install_requires=required, # Add dependencies here
- entry_points={
- "console_scripts": [
- "operate=operate.main:main_entry",
- ],
- },
- package_data={
- # Include the file in the operate.models.weights package
- "operate.models.weights": ["best.pt"],
- },
- long_description=long_description, # Add project description here
- long_description_content_type="text/markdown", # Specify Markdown format
- # include any other necessary setup options here
-)
diff --git a/test/test_main.py b/test/test_main.py
new file mode 100644
index 00000000..52937384
--- /dev/null
+++ b/test/test_main.py
@@ -0,0 +1,2 @@
+def test_import():
+ from operate.main import main
\ No newline at end of file