chore(main): release 0.6.2 (#2049 )

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
fix: auto-update version (#2052 )
2025-10-09 07:05:15 +00:00 · 2024-08-08 18:16:41 +02:00 · 2024-08-08 16:50:42 +02:00 · 2024-08-07 17:39:32 +02:00 · 2024-08-07 12:16:03 +02:00 · 2024-08-07 11:26:42 +02:00
13 changed files with 93 additions and 162 deletions
--- a/.github/release_please/.release-please-config.json
+++ b/.github/release_please/.release-please-config.json
@@ -0,0 +1,19 @@
+{
+    "$schema": "https://raw.githubusercontent.com/googleapis/release-please/main/schemas/config.json",
+    "release-type": "simple",
+    "version-file": "version.txt",
+    "extra-files": [
+      {
+        "type": "toml",
+        "path": "pyproject.toml",
+        "jsonpath": "$.tool.poetry.version"
+      },
+      {
+        "type": "generic",
+        "path": "docker-compose.yaml"
+      }
+    ],
+    "packages": {
+      ".": {}
+    }
+  }
--- a/.github/release_please/.release-please-manifest.json
+++ b/.github/release_please/.release-please-manifest.json
@@ -0,0 +1,3 @@
+{
+  ".": "0.6.2"
+}
--- a/.github/workflows/generate-release.yml
+++ b/.github/workflows/generate-release.yml
@@ -7,7 +7,7 @@ on:

 env:
  REGISTRY: docker.io
-  IMAGE_NAME: ${{ github.repository }}
+  IMAGE_NAME: zylonai/private-gpt
  platforms: linux/amd64,linux/arm64
  DEFAULT_TYPE: "ollama"

--- a/.github/workflows/release-please.yml
+++ b/.github/workflows/release-please.yml
@@ -13,7 +13,8 @@ jobs:
  release-please:
    runs-on: ubuntu-latest
    steps:
-      - uses: google-github-actions/release-please-action@v3
+      - uses: google-github-actions/release-please-action@v4
+        id: release
        with:
-          release-type: simple
-          version-file: version.txt
+          config-file: .github/release_please/.release-please-config.json
+          manifest-file: .github/release_please/.release-please-manifest.json
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,15 @@
 # Changelog

+## [0.6.2](https://github.com/zylon-ai/private-gpt/compare/v0.6.1...v0.6.2) (2024-08-08)
+
+
+### Bug Fixes
+
+* add numpy issue to troubleshooting ([#2048](https://github.com/zylon-ai/private-gpt/issues/2048)) ([4ca6d0c](https://github.com/zylon-ai/private-gpt/commit/4ca6d0cb556be7a598f7d3e3b00d2a29214ee1e8))
+* auto-update version ([#2052](https://github.com/zylon-ai/private-gpt/issues/2052)) ([7fefe40](https://github.com/zylon-ai/private-gpt/commit/7fefe408b4267684c6e3c1a43c5dc2b73ec61fe4))
+* publish image name ([#2043](https://github.com/zylon-ai/private-gpt/issues/2043)) ([b1acf9d](https://github.com/zylon-ai/private-gpt/commit/b1acf9dc2cbca2047cd0087f13254ff5cda6e570))
+* update matplotlib to 3.9.1-post1 to fix win install ([b16abbe](https://github.com/zylon-ai/private-gpt/commit/b16abbefe49527ac038d235659854b98345d5387))
+
 ## [0.6.1](https://github.com/zylon-ai/private-gpt/compare/v0.6.0...v0.6.1) (2024-08-05)


--- a/Dockerfile.local-cuda
+++ b/Dockerfile.local-cuda
@@ -1,84 +0,0 @@
-FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu22.04 as base
-
-# For tzdata
-ENV DEBIAN_FRONTEND="noninteractive" TZ="Etc/UTC"
-
-RUN apt-get update && apt-get upgrade -y \
-    && apt-get install -y git build-essential \
-    python3 python3-pip python3.11-venv gcc wget \
-    ocl-icd-opencl-dev opencl-headers clinfo \
-    libclblast-dev libopenblas-dev \
-    && mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd \
-    && ln -sf /usr/bin/python3.11 /usr/bin/python3 \
-    && python3 --version
-
-# Install poetry
-RUN pip install pipx
-RUN python3 -m pipx ensurepath
-RUN pipx install poetry==1.8.3
-ENV PATH="/root/.local/bin:$PATH"
-ENV PATH=".venv/bin/:$PATH"
-
-# Dependencies to build llama-cpp
-RUN apt update && apt install -y \
-  libopenblas-dev\
-  ninja-build\
-  build-essential\
-  pkg-config\
-  wget
-
-# https://python-poetry.org/docs/configuration/#virtualenvsin-project
-ENV POETRY_VIRTUALENVS_IN_PROJECT=true
-
-FROM base as dependencies
-WORKDIR /home/worker/app
-COPY pyproject.toml poetry.lock ./
-
-ARG POETRY_EXTRAS="ui embeddings-huggingface llms-llama-cpp vector-stores-qdrant"
-RUN poetry install --no-root --extras "${POETRY_EXTRAS}"
-
-# Enable GPU support
-ENV CUDA_DOCKER_ARCH=all
-ENV GGML_CUDA=1
-ENV TOKENIZERS_PARALLELISM=true
-RUN CMAKE_ARGS="-DGGML_CUDA=on" \
-    poetry run pip install \
-        --force-reinstall \
-        --no-cache-dir \
-        --verbose \
-        llama-cpp-python==0.2.84 \
-        numpy==1.26.0
-
-FROM base as app
-
-ENV PYTHONUNBUFFERED=1
-ENV PORT=8080
-ENV APP_ENV=prod
-ENV PYTHONPATH="$PYTHONPATH:/home/worker/app/private_gpt/"
-EXPOSE 8080
-
-# Prepare a non-root user
-# More info about how to configure UIDs and GIDs in Docker:
-# https://github.com/systemd/systemd/blob/main/docs/UIDS-GIDS.md
-
-# Define the User ID (UID) for the non-root user
-# UID 100 is chosen to avoid conflicts with existing system users
-ARG UID=1000
-
-# Define the Group ID (GID) for the non-root user
-# GID 65534 is often used for the 'nogroup' or 'nobody' group
-ARG GID=65534
-
-RUN adduser --system --gid ${GID} --uid ${UID} --home /home/worker worker
-WORKDIR /home/worker/app
-
-RUN chown worker /home/worker/app
-RUN mkdir local_data && chown worker local_data
-RUN mkdir models && chown worker models
-COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv
-COPY --chown=worker private_gpt/ private_gpt
-COPY --chown=worker *.yaml ./
-COPY --chown=worker scripts/ scripts
-
-USER worker
-ENTRYPOINT python -m private_gpt
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -7,7 +7,7 @@ services:
  # Private-GPT service for the Ollama CPU and GPU modes
  # This service builds from an external Dockerfile and runs the Ollama mode.
  private-gpt-ollama:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-ollama
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.2}-ollama  # x-release-please-version
    build:
      context: .
      dockerfile: Dockerfile.ollama
@@ -31,7 +31,7 @@ services:
  # Private-GPT service for the local mode
  # This service builds from a local Dockerfile and runs the application in local mode.
  private-gpt-llamacpp-cpu:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-llamacpp-cpu
+    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.2}-llamacpp-cpu # x-release-please-version
    build:
      context: .
      dockerfile: Dockerfile.llamacpp-cpu
@@ -48,26 +48,6 @@ services:
    profiles:
      - llamacpp-cpu

-  # Private-GPT service for the local mode (with CUDA support)
-  # This service builds from a local Dockerfile and runs the application in local mode.
-  private-gpt-llamacpp-cuda:
-    image: ${PGPT_IMAGE:-zylonai/private-gpt}${PGPT_TAG:-0.6.1}-llamacpp-cuda
-    build:
-      context: .
-      dockerfile: Dockerfile.llamacpp-cuda
-    volumes:
-      - ./local_data/:/home/worker/app/local_data
-      - ./models/:/home/worker/app/models
-    entrypoint: sh -c ".venv/bin/python scripts/setup && .venv/bin/python -m private_gpt"
-    ports:
-      - "8001:8001"
-    environment:
-      PORT: 8001
-      PGPT_PROFILES: local
-      HF_TOKEN: ${HF_TOKEN}
-    profiles:
-      - llamacpp-cuda
-
  #-----------------------------------
  #---- Ollama services --------------
  #-----------------------------------
--- a/fern/docs/pages/installation/installation.mdx
+++ b/fern/docs/pages/installation/installation.mdx
@@ -307,11 +307,12 @@ If you have all required dependencies properly configured running the
 following powershell command should succeed.

 ```powershell
-$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python
+$env:CMAKE_ARGS='-DLLAMA_CUBLAS=on'; poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0
 ```

 If your installation was correct, you should see a message similar to the following next
-time you start the server `BLAS = 1`.
+time you start the server `BLAS = 1`. If there is some issue, please refer to the
+[troubleshooting](/installation/getting-started/troubleshooting#building-llama-cpp-with-nvidia-gpu-support) section.

 ```console
 llama_new_context_with_model: total VRAM used: 4857.93 MB (model: 4095.05 MB, context: 762.87 MB)
@@ -339,11 +340,12 @@ Some tips:
 After that running the following command in the repository will install llama.cpp with GPU support:

 ```bash
-CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python
+CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python numpy==1.26.0
 ```

 If your installation was correct, you should see a message similar to the following next
-time you start the server `BLAS = 1`.
+time you start the server `BLAS = 1`. If there is some issue, please refer to the
+[troubleshooting](/installation/getting-started/troubleshooting#building-llama-cpp-with-nvidia-gpu-support) section.

 ```
 llama_new_context_with_model: total VRAM used: 4857.93 MB (model: 4095.05 MB, context: 762.87 MB)
--- a/fern/docs/pages/installation/troubleshooting.mdx
+++ b/fern/docs/pages/installation/troubleshooting.mdx
@@ -46,4 +46,19 @@ huggingface:
 embedding:
  embed_dim: 384
 ```
-</Callout>
+</Callout>
+
+# Building Llama-cpp with NVIDIA GPU support
+
+## Out-of-memory error
+
+If you encounter an out-of-memory error while running `llama-cpp` with CUDA, you can try the following steps to resolve the issue:
+1. **Set the next environment:**
+    ```bash
+    TOKENIZERS_PARALLELISM=true
+    ```
+2. **Run PrivateGPT:**
+    ```bash
+    poetry run python -m privategpt
+    ```
+Give thanks to [MarioRossiGithub](https://github.com/MarioRossiGithub) for providing the following solution.
--- a/fern/docs/pages/quickstart/quickstart.mdx
+++ b/fern/docs/pages/quickstart/quickstart.mdx
@@ -82,21 +82,6 @@ HF_TOKEN=<your_hf_token> docker-compose --profile llamacpp-cpu up
 ```
 Replace `<your_hf_token>` with your actual Hugging Face token.

-#### 2. LlamaCPP CUDA
-
-**Description:**
-This profile runs the Private-GPT services locally using `llama-cpp` and Hugging Face models.
-
-**Requirements:**
-A **Hugging Face Token (HF_TOKEN)** is required for accessing Hugging Face models. Obtain your token following [this guide](/installation/getting-started/troubleshooting#downloading-gated-and-private-models).
-
-**Run:**
-Start the services with your Hugging Face token using pre-built images:
-```sh
-HF_TOKEN=<your_hf_token> docker-compose --profile llamacpp-cuda up
-```
-Replace `<your_hf_token>` with your actual Hugging Face token.
-
 ## Building Locally

 If you prefer to build Docker images locally, which is useful when making changes to the codebase or the Dockerfiles, follow these steps:
--- a/poetry.lock
+++ b/poetry.lock
@@ -2901,40 +2901,40 @@ tests = ["pytest", "pytz", "simplejson"]

 [[package]]
 name = "matplotlib"
-version = "3.9.1"
+version = "3.9.1.post1"
 description = "Python plotting package"
 optional = true
 python-versions = ">=3.9"
 files = [
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 ]

 [package.dependencies]
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "private-gpt"
-version = "0.6.0"
+version = "0.6.2"
 description = "Private GPT"
 authors = ["Zylon <hi@zylon.ai>"]

--- a/version.txt
+++ b/version.txt
@@ -1 +1 @@
-0.6.1
+0.6.2
Author	SHA1	Message	Date
github-actions[bot]	22904ca8ad	chore(main): release 0.6.2 (#2049 ) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>	2024-08-08 18:16:41 +02:00
Javier Martinez	7fefe408b4	fix: auto-update version (#2052 )	2024-08-08 16:50:42 +02:00
Javier Martinez	b1acf9dc2c	fix: publish image name (#2043 )	2024-08-07 17:39:32 +02:00
Javier Martinez	4ca6d0cb55	fix: add numpy issue to troubleshooting (#2048 ) * docs: add numpy issue to troubleshooting * fix: troubleshooting link ...	2024-08-07 12:16:03 +02:00
Javier Martinez	b16abbefe4	fix: update matplotlib to 3.9.1-post1 to fix win install * chore: block matplotlib to fix installation in window machines * chore: remove workaround, just update poetry.lock * fix: update matplotlib to last version	2024-08-07 11:26:42 +02:00
@@ -1 +1 @@
 .6.1
 .6.2