From 330ef306a77e253a5fba8ec1468e7deaa14b0e99 Mon Sep 17 00:00:00 2001 From: Tim Nunamaker Date: Fri, 1 Mar 2024 16:32:41 -0600 Subject: [PATCH] chore: simplify setup procedure --- README.md | 120 +- poetry.lock | 2523 +++++++++++++++++++++------- pyproject.toml | 7 +- scripts/build-ui.sh | 19 +- scripts/llama-cpp-python-cublas.sh | 144 +- start.sh | 41 + 6 files changed, 2114 insertions(+), 740 deletions(-) create mode 100755 start.sh diff --git a/README.md b/README.md index 832e51d..658c640 100644 --- a/README.md +++ b/README.md @@ -8,34 +8,42 @@ # Selfie -Selfie personalizes text generation, augmenting both local and hosted Large Language Models (LLMs) with your personal data. Selfie exposes an OpenAI-compatible API that wraps the LLM of your choice, and automatically injects relevant context into each text generation request. +Bring your personal data to life! Selfie offers OpenAI-compatible APIs that bring your data into LLM awareness. Selfie also empowers you to directly search your data with natural language. Selfie runs 100% locally by default to keep your data private. selfie-augmentation +## Quick Start + +1. Install [python](https://www.python.org) 3.9+, [poetry](https://python-poetry.org), and [Node.js](https://nodejs.org). +2. Clone or [download](https://github.com/vana-com/selfie/archive/refs/heads/main.zip) the repository. +3. Run `start.sh`. +4. http://localhost:8181 will open in your default web browser. + +> **Tip**: Python 3.11 is recommended. + +> **Tip**: On macOS you can run `brew install poetry nodejs` with [brew](https://brew.sh). + ## Features -* Automatically mix your data into chat and text completions using OpenAI-compatible clients like [OpenAI SDKs](https://platform.openai.com/docs/libraries), [SillyTavern](https://sillytavernai.com), and [Instructor](https://github.com/jxnl/instructor)* (untested). -* Quickly drop in personal messaging data exported from WhatsApp and Google Messages. +* Mix your data into text completions using OpenAI-compatible clients like [OpenAI SDKs](https://platform.openai.com/docs/libraries) and [SillyTavern](https://sillytavernai.com). +* Quickly drop in any text file, with enhanced support for conversations exported from messaging platforms. * Runs locally by default to keep your data private. -* Unopinionated compatibility with your LLM or provider of choice. -* Easily switch to vanilla text generation modes. -* Directly and selectively query loaded data. - -On the roadmap: +* Unopinionated compatibility with hosted LLMs from OpenAI, Replicate, etc. +* APIs for directly and selectively querying your data in natural language. [//]: # (* Load data using any [LlamaHub loader](https://llamahub.ai/?tab=loaders).) -* Easy deployment with Docker and pre-built executables. +[//]: # (* Easy deployment with Docker and pre-built executables.) ## Overview Selfie is designed to compose well with tools on both sides of the text generation process. You can think of it as middleware that intelligently mixes your data into a request. -Typical request: +A typical request: ``` Application -(request)-> LLM ``` -Request through Selfie: +A request through Selfie: ``` Application -(request)-> Selfie -(request x data)-> LLM | @@ -46,47 +54,71 @@ On the application side, Selfie exposes text generation APIs, including OpenAI-c On the LLM side, Selfie uses tools like LiteLLM and txtai to support forwarding data-augmented requests to your LLM of choice -## Getting Started -To launch Selfie, ensure that [python](https://www.python.org) 3.11, [poetry](https://python-poetry.org), and [yarn](https://yarnpkg.com) are installed. Then run the following commands in the project directory: +## Installation + +For most users, the easiest way to install Selfie is to follow the [Quick Start](#quick-start) instructions. If that doesn't work, or if you just want to install Selfie manually, follow the detailed instructions below. -1. `git clone git@github.com:vana-com/selfie.git` -2. `cp selfie/.env.example selfie/.env` -3. `./scripts/build-ui.sh` (requires `yarn`) -4. `poetry install`, enable GPU or Metal acceleration via llama.cpp by subsequently installing GPU-enabled llama-cpp-python, see Scripts. _Note: if you are on macOS and do not have poetry installed, you can run `brew install poetry`_. -5. `poetry run python -m selfie`, or `poetry run python -m selfie --gpu` if your device is GPU-enabled. The first time you run this, it will download ~4GB of model weights. While you wait, you can download your WhatsApp or Google Takeout data for the next step. +
+Manual Installation +1. Ensure that [python](https://www.python.org) 3.9+, [poetry](https://python-poetry.org), and [Node.js](https://nodejs.org) are installed. +2. Clone or [download](https://github.com/vana-com/selfie/archive/refs/heads/main.zip) the repository. +3. In a terminal, navigate to the project directory. +4. Run `cp selfie/.env.example selfie/.env` to create a `.env` file in which you can configure the default port that Selfie runs on and hosting with ngrok. +5. Run `./scripts/build-ui.sh` to build the UI and copy it to the server. +6. Run `poetry install` to install required Python dependencies. +7. Optional: Run `./scripts/llama-cpp-python-cublas.sh` to enable hardware acceleration (for details, see [Scripts](#llama-cpp-python-cublassh)). +8. Run `poetry run python -m selfie`, or `poetry run python -m selfie --gpu` if your device is GPU-enabled. The first time you run this, it will download ~4GB of model weights. + +[//]: # (1. `git clone [//]: # (Disable this note about installing with GPU support until supported via transformers, etc.) [//]: # (3. `poetry install` or `poetry install -E gpu` (to enable GPU devices via transformers). Enable GPU or Metal acceleration via llama.cpp by installing GPU-enabled llama-cpp-python, see Scripts.) -This starts a local web server and should launch the UI in your browser at http://localhost:8181. API documentation is available at http://localhost:8181/docs. Now that the server is running, you can use the API to import your data and connect to your LLM. +[//]: # (This starts a local web server and should launch the UI in your browser at http://localhost:8181. API documentation is available at http://localhost:8181/docs. Now that the server is running, you can use the API to import your data and connect to your LLM.) +
+ +> **Note**: You can host selfie at a publicly-accessible URL with [ngrok](https://ngrok.com). Add your ngrok token (and optionally, ngrok domain) in `selfie/.env` and run `poetry run python -m selfie --share`. -> Note: You can host selfie at a publicly-accessible URL with [ngrok](https://ngrok.com). Add your ngrok token (and optionally, ngrok domain) in `selfie/.env` and run `poetry run python -m selfie --share`. -### Step 1: Import Your Data +## Setting Up Selfie + +Selfie comes with a web-based UI that you can use to import your data and interact with it. + +### Import Your Data Selfie supports importing text data, with special processing for certain data formats, like chat logs from WhatsApp and ChatGPT. -> Note: You can try the example files in the `example-chats` directory if you want to try a specific data format that you don't have ready for import. +> **Note**: You can try the example files in the `example-chats` directory if you want to try a specific data format that you don't have ready for import. To import data into Selfie: 1. **Open the Add Data Page**: Access the UI and locate the Add Data section. 2. **Select Data Source**: Choose the type of data you are uploading (e.g., WhatsApp, Text Files). Choose the type that most closely matches your data format. -3. **Upload Files**: Choose your files and submit them for upload. - -Ensure you obtain consent from participants in the chats you wish to export. +3. **Configure and Submit**: Complete the required fields and submit the form. Support for new types of data can be added by creating new data connectors in `selfie/connectors/` (instructions [here](./selfie/connectors/README.md), please contribute!). -### Step 2: Engage with Your Data +> **Note**: Ensure you obtain consent from participants in the chats you wish to export. + +### Interact With Your Data -The Playground page includes a chat interface and a Search feature. Write an LLM persona by entering a name and bio, and try interacting with your data through conversation. You can also search your data for specific topics under Search. +Now you are ready to interact with your data! -You can interact with your data via the API directly, for instance, try viewing this link in your web browser: http://localhost:8181/v1/index_documents/summary?topic=travel. Detailed API documentation is available [here](http://localhost:8181/docs). +The Playground page includes a chat interface and a search feature. Write an LLM persona by entering a name and bio, and try interacting with your data through conversation. You can also search your data for specific topics under Search. + +Now you are ready to use the Selfie API! ## API Usage Guide +To quickly see your API in action, try viewing this link in your web browser: + +http://localhost:8181/v1/index_documents/summary?topic=travel. + +Detailed API documentation is available [here](http://localhost:8181/docs). + +### How Text Completions Work + By default, Selfie augments text completions with local models using llama.cpp and a local txtai embeddings database. OpenAI-supported parameters like `messages`, `temperature`, `max_tokens`, etc., should all work out of the box, with some special considerations: @@ -102,7 +134,7 @@ You can also include special parameters to direct Selfie in how your request sho Examples and more details are provided in the next sections. -### Augmenting Local Models +### Using Selfie With Local Models Selfie uses [txtai](https://neuml.github.io/txtai) to download local models and run them with [llama.cpp](https://github.com/ggerganov/llama.cpp). In completion requests, specify the `llama.cpp` method, or leave it off as the default, and ensure that your model is defined correctly, as a local path or HuggingFace model, according to [txtai's documentation](https://neuml.github.io/txtai/models). @@ -131,7 +163,7 @@ You can even use a local Open-AI compatible API ([LiteLLM OpenAI-Compatible Endp ``` Method is optional and defaults to `litellm` when `api_base` is specified. -### Augmenting Hosted Models +### Using Selfie with Hosted Models Selfie can use hosted model providers through [litellm](https://litellm.vercel.app). In completion requests, specify the `litellm` method (optional) and ensure that your model is prefixed correctly according to [litellm's documentation for your provider](https://docs.litellm.ai/docs/providers). @@ -204,22 +236,16 @@ Note that model is empty: ![silly-tavern-local-api-model.png](docs/images/silly-tavern-local-api-model.png) We pass an extra parameter, `instruct_mode`, for text-generation-webui. ![silly-tavern-local-api.png](docs/images/silly-tavern-local-api.png) -> Note: some OpenAI-compatible APIs may not properly handle SillyTavern's use of multiple system messages and non-alternating user/assistant messages (like [text-generation-webui](https://github.com/oobabooga/text-generation-webui)). A text-generation-webui workaround is described [here](https://github.com/SillyTavern/SillyTavern/issues/1722#issuecomment-1902619716). - - -## Experimental Features -Selfie is a work in progress. Here are some features that are not yet fully supported. - -### Building an Executable +> **Note**: some OpenAI-compatible APIs may not properly handle SillyTavern's use of multiple system messages and non-alternating user/assistant messages (like [text-generation-webui](https://github.com/oobabooga/text-generation-webui)). A text-generation-webui workaround is described [here](https://github.com/SillyTavern/SillyTavern/issues/1722#issuecomment-1902619716). -Build an executable for your platform with `pyinstaller selfie.spec --noconfirm`. +## Scripts -Start the built service with `./dist/selfie/selfie`. +The `scripts` directory contains a variety of scripts for setting up Selfie. Here's a brief overview of each script: -### Scripts +### build-ui.sh -Besides `build-ui.sh`, scripts are provided in scripts/ to help with useful tasks. +To build the UI, run `./scripts/build-ui.sh`. ### llama-cpp-python-cublas.sh @@ -227,6 +253,18 @@ To install llama.cpp with hardware acceleration for better performance, run `./s Alternatively, you can build `llama-cpp-python` manually with the flags of your choice by following [the instructions](https://github.com/abetlen/llama-cpp-python?tab=readme-ov-file#installation). +## Experimental Features + +Selfie is a work in progress. Here are some features that are not yet fully supported. + +### Building an Executable + +To build an executable for your platform: + +1. Run `pip install pyinstaller`. *(pyinstaller is not compatible with Python >3.12 so it is not included by default)* +2. Run `pyinstaller selfie.spec --noconfirm`. +3. Start the built service with `./dist/selfie/selfie`. + ## Contributing Selfie is a community project. We welcome contributions of all kinds, including bug reports, feature requests, and pull requests. Please see the [contributing guide](CONTRIBUTING.md) for more information. diff --git a/poetry.lock b/poetry.lock index 4339821..8761061 100644 --- a/poetry.lock +++ b/poetry.lock @@ -128,6 +128,7 @@ files = [ [package.dependencies] aiosignal = ">=1.1.2" +async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""} attrs = ">=17.3.0" frozenlist = ">=1.1.1" multidict = ">=4.5,<7.0" @@ -150,17 +151,6 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" -[[package]] -name = "altgraph" -version = "0.17.4" -description = "Python graph (network) package" -optional = false -python-versions = "*" -files = [ - {file = "altgraph-0.17.4-py2.py3-none-any.whl", hash = "sha256:642743b4750de17e655e6711601b077bc6598dbfa3ba5fa2b2a35ce12b508dff"}, - {file = "altgraph-0.17.4.tar.gz", hash = "sha256:1b5afbb98f6c4dcadb2e2ae6ab9fa994bbb8c1d75f4fa96d340f9437ae454406"}, -] - [[package]] name = "annotated-types" version = "0.6.0" @@ -174,24 +164,54 @@ files = [ [[package]] name = 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"optimum"] [metadata] lock-version = "2.0" -python-versions = ">=3.11,<3.12" -content-hash = "3c3da1501932f8ba4f90732803b9bd0b3892c69ed285c91873d32d966464a358" +python-versions = ">=3.9,<4.0" +content-hash = "87efd6a152d76edf260b1a56d9efe5b14613bec8629bf549acc0a01f70e28eea" diff --git a/pyproject.toml b/pyproject.toml index c2b4203..c356c5b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ authors = ["Vana "] readme = "README.md" [tool.poetry.dependencies] -python = ">=3.11,<3.12" +python = ">=3.9,<4.0" # >=3.9 for numpy, <4 for llama-index beautifulsoup4 = "^4.12.3" fastapi = "^0.109.0" uvicorn = "^0.27.0" @@ -14,9 +14,9 @@ humanize = "^4.9.0" llama-cpp-python = "^0.2.42" litellm = "^1.23.12" txtai = {version = "^6.3.0", extras = ["pipeline-llm"]} -pyinstaller = "^6.3.0" sse-starlette = "^2.0.0" llama-index = "^0.10.4" +numpy = "^1.26.4" html2text = "^2020.1.16" peewee = "^3.17.0" pypdf = "^4.0.1" @@ -24,8 +24,9 @@ python-multipart = "^0.0.9" ngrok = "^1.0.0" python-dotenv = "^1.0.1" pillow = "^10.2.0" +swig = "^4.2.1" -# Support GPU Features +# Experimental GPU Features auto-gptq = { version = "^0.6.0", optional = true } optimum = { version = "^1.16.2", optional = true } autoawq = { version = "^0.1.8", optional = true } diff --git a/scripts/build-ui.sh b/scripts/build-ui.sh index 24a38df..6e90ccb 100755 --- a/scripts/build-ui.sh +++ b/scripts/build-ui.sh @@ -2,17 +2,22 @@ set -e -# Step 1: Build Next.js App -echo "Building Next.js app..." +echo "Building Selfie UI..." cd selfie-ui -yarn install --frozen-lockfile -NODE_ENV=production yarn run build -# Step 2: Move the out/ directory to FastAPI static file serving directory -echo "Moving built files to FastAPI app..." +if command -v yarn &> /dev/null; then + yarn install --frozen-lockfile --non-interactive + yarn run build +else + npm install --no-prompt --cache .npm + # npm ci --cache .npm # requires a lockfile + NODE_ENV=production npm run build +fi + +echo "Moving built files to Selfie API app..." cd .. rm -rf selfie/web mkdir -p selfie/web cp -r selfie-ui/out/* selfie/web/ -echo "Next.js app built and integrated with FastAPI." +echo "Selfie UI built and integrated with API." diff --git a/scripts/llama-cpp-python-cublas.sh b/scripts/llama-cpp-python-cublas.sh index eafad1c..49ff0c2 100755 --- a/scripts/llama-cpp-python-cublas.sh +++ b/scripts/llama-cpp-python-cublas.sh @@ -1,62 +1,96 @@ #!/bin/bash -echo "Installing llama-cpp-python with hardware acceleration support." - -# Detect operating system -OS="$(uname -s)" -case "${OS}" in - Linux*) os=Linux;; - Darwin*) os=macOS;; - CYGWIN*) os=Cygwin;; - MINGW*) os=MinGw;; - *) os="UNKNOWN:${OS}" -esac - -echo "Detected operating system: $os" - -# Default to AVX2 CPU architecture -CPU_ARCH="AVX2" - -# Allow user to override CPU architecture -read -p "Enter your CPU architecture (AVX, AVX2, AVX512, basic) or press enter to use default (AVX2): " user_arch -if [ ! -z "$user_arch" ]; then - CPU_ARCH=$user_arch -fi - -# Installation command initialization -INSTALL_CMD="" - -if [ "$os" == "Linux" ]; then - # Attempt to detect CUDA for Linux - CUDA_VERSION_OUTPUT=$(nvcc --version | grep "release" | awk '{print $6}' | cut -d'.' -f1-2) - CUDA_VERSION="cu${CUDA_VERSION_OUTPUT//[[:alpha:]|\.]/}" - - # Attempt to detect ROCm installation by checking for common ROCm utilities - ROCM_INFO=$(rocm-info 2>/dev/null | grep -oP 'ROCm Version:\s*\K[\d.]+') - - if [ -n "$CUDA_VERSION_OUTPUT" ]; then - echo "Detected CUDA version: $CUDA_VERSION" - INSTALL_CMD="python -m pip install llama-cpp-python --prefer-binary --force-reinstall --extra-index-url=https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/${CPU_ARCH}/${CUDA_VERSION}" - elif [ -n "$ROCM_INFO" ]; then - echo "Detected ROCm version: $ROCM_INFO" - # Convert ROCm version to a format compatible with your URL structure - ROCM_VERSION="rocm$(echo $ROCM_INFO | tr -d '.')" - INSTALL_CMD="python -m pip install llama-cpp-python --prefer-binary --force-reinstall --extra-index-url=https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/${CPU_ARCH}/${ROCM_VERSION}" +detect_cpu_arch() { + CPU_ARCH="basic" + if [ "$(uname -s)" == "Darwin" ]; then + AVX=$(sysctl -a | grep avx1_0 | wc -l) + AVX2=$(sysctl -a | grep avx2_0 | wc -l) + AVX512=$(sysctl -a | grep avx512f | wc -l) else - echo "Neither CUDA nor ROCm could be confidently detected. Please ensure your system's hardware acceleration drivers are correctly installed." + AVX=$(grep avx /proc/cpuinfo | wc -l) + AVX2=$(grep avx2 /proc/cpuinfo | wc -l) + AVX512=$(grep avx512 /proc/cpuinfo | wc -l) + fi + if [ "$AVX512" -gt 0 ]; then + CPU_ARCH="AVX512" + elif [ "$AVX2" -gt 0 ]; then + CPU_ARCH="AVX2" + elif [ "$AVX" -gt 0 ]; then + CPU_ARCH="AVX" + fi + echo $CPU_ARCH +} + +detect_platform() { + OS_NAME=$(uname -s) + OS_ARCH=$(uname -m) + if [ "$OS_NAME" == "Linux" ]; then + PLATFORM="manylinux_2_31_x86_64" + elif [ "$OS_NAME" == "Darwin" ]; then + PLATFORM="macosx_$(sw_vers -productVersion | cut -d. -f1-2)_$(uname -m)" + else + PLATFORM="unsupported" + fi + echo $PLATFORM +} + +detect_gpu_acceleration() { + CUDA_VERSION="" + ROCM_VERSION="" + ACCELERATION="cpu" + + if command -v nvcc &> /dev/null; then + CUDA_VERSION=$(nvcc --version | grep "release" | awk '{print $6}' | cut -d'.' -f1-2 | sed 's/[^0-9]//g') + ACCELERATION="cu$CUDA_VERSION" + elif command -v rocm-info &> /dev/null; then + ROCM_VERSION=$(rocm-info | grep -oP 'Version:\s+\K[0-9.]+') + ACCELERATION="rocm$ROCM_VERSION" + elif [ "$(uname -s)" == "Darwin" ]; then + ACCELERATION="metal" + fi + + echo "$ACCELERATION" +} + +detect_latest_accelerated_version() { + CPU_ARCH=$(detect_cpu_arch) + PLATFORM=$(detect_platform) + ACCELERATION=$(detect_gpu_acceleration) + PYTHON_VERSION=$(python --version 2>&1 | grep -oP 'Python \K[0-9]+\.[0-9]+') + PYTHON_VERSION_CONCATENATED=$(echo $PYTHON_VERSION | tr -d '.') # Convert to e.g., 311 + + URL="https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/${CPU_ARCH}/${ACCELERATION}/llama-cpp-python/" + LATEST_WHEEL=$(curl -s $URL | grep -oP "href=\"\K(.*?cp${PYTHON_VERSION_CONCATENATED}.*?${PLATFORM}.*?\.whl)" | sort -V | tail -n 1) + + if [ -z "$LATEST_WHEEL" ]; then + echo "No suitable wheel file found for the current configuration." exit 1 fi -elif [ "$os" == "macOS" ]; then - echo "For macOS, using Metal version." - INSTALL_CMD="python -m pip install llama-cpp-python --prefer-binary --force-reinstall --extra-index-url=https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/basic/cpu" -else - echo "Unsupported OS or CUDA/ROCm/Metal not applicable. Skipping hardware-accelerated llama-cpp-python installation." - exit 1 -fi - -# Execute the installation command -echo "Running installation command:" -echo $INSTALL_CMD -eval $INSTALL_CMD + + echo "$LATEST_WHEEL" +} + +check_and_install() { + LATEST_WHEEL=$(detect_latest_accelerated_version) + if [ -z "$LATEST_WHEEL" ]; then + echo "WARNING: Unable to find a compatible wheel file, installing an unaccelerated version." + python -m pip install llama-cpp-python + fi + + WHL_FILE=$(basename "$LATEST_WHEEL") + LATEST_VERSION=$(echo "$WHL_FILE" | grep -oP "llama_cpp_python-\K([0-9]+\.[0-9]+\.[0-9]+(\+[a-z0-9]+)?)") + + INSTALLED_VERSION=$(pip list --format=freeze | grep "llama_cpp_python==" | cut -d'=' -f3 || echo "") + + if [ "$INSTALLED_VERSION" = "$LATEST_VERSION" ]; then + echo "The latest version of llama-cpp-python ($LATEST_VERSION) is already installed." + else + echo "Installing the latest version of llama-cpp-python ($LATEST_VERSION) for your system ($INSTALLED_VERSION) is installed)" + python -m pip install --prefer-binary --force-reinstall "$LATEST_WHEEL" + fi +} + +echo "Checking for llama-cpp-python installation..." +check_and_install echo "Installation complete. Please check for any errors above." diff --git a/start.sh b/start.sh new file mode 100755 index 0000000..3945ca0 --- /dev/null +++ b/start.sh @@ -0,0 +1,41 @@ +#!/bin/bash + +if [ ! -f "selfie/.env" ]; then + echo "Copying selfie/.env.example to selfie/.env..." + cp selfie/.env.example selfie/.env +else + echo "selfie/.env already exists. Skipping copy." +fi + +MISSING_DEPENDENCIES="" +command -v python >/dev/null 2>&1 || MISSING_DEPENDENCIES="${MISSING_DEPENDENCIES} Python (https://www.python.org/downloads/)\n" +command -v poetry >/dev/null 2>&1 || MISSING_DEPENDENCIES="${MISSING_DEPENDENCIES} Poetry (https://python-poetry.org/docs/#installation)\n" +command -v yarn >/dev/null 2>&1 || MISSING_DEPENDENCIES="${MISSING_DEPENDENCIES} Yarn (https://yarnpkg.com/getting-started/install)\n" + +if [ ! -z "$MISSING_DEPENDENCIES" ]; then + echo -e "Missing dependencies:\n$MISSING_DEPENDENCIES" + exit 1 +fi + +echo "Installing Python dependencies with Poetry..." +poetry check || poetry install + +echo "Building UI with Yarn..." +./scripts/build-ui.sh + +ACCELERATION_FLAG="" + +echo "Running llama-cpp-python-cublas.sh to enable hardware acceleration..." +./scripts/llama-cpp-python-cublas.sh + +LLAMA_CPP_VERSION=$(poetry run pip list --format=freeze | grep "llama_cpp_python==" | cut -d'=' -f3) + +if [[ $LLAMA_CPP_VERSION == *"-gpu"* ]]; then + echo "Accelerated version of llama_cpp_python detected. Enabling GPU support." + ACCELERATION_FLAG="--gpu" +else + echo "No accelerated version of llama_cpp_python detected. Running without GPU support." +fi + +echo "Running selfie..." +poetry run python -m selfie $ACCELERATION_FLAG