From e60704603395722158f1fa19a1fee15b40ad4fff Mon Sep 17 00:00:00 2001 From: uw4 Date: Fri, 7 Jun 2024 15:40:38 +0200 Subject: [PATCH 1/3] Support for Google Gemini LLMs and Embeddings Initial support for Gemini, enables usage of Google LLMs and embedding models (see settings-gemini.yaml) Install via poetry install --extras "llms-gemini embeddings-gemini" Notes: * had to bump llama-index-core to later version that supports Gemini * poetry --no-update did not work: Gemini/llama_index seem to require more (transient) updates to make it work... --- poetry.lock | 5138 +++++++++-------- .../embedding/embedding_component.py | 14 + private_gpt/components/llm/llm_component.py | 13 + private_gpt/settings/settings.py | 26 +- private_gpt/ui/ui.py | 1 + pyproject.toml | 9 +- settings-gemini.yaml | 10 + 7 files changed, 2731 insertions(+), 2480 deletions(-) create mode 100644 settings-gemini.yaml diff --git a/poetry.lock b/poetry.lock index 961a12994..cc516f0d7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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">=4.0" [[package]] name = "zipp" -version = "3.17.0" +version = "3.19.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = true python-versions = ">=3.8" files = [ - {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, - {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, + {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"}, + {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] embeddings-azopenai = ["llama-index-embeddings-azure-openai"] +embeddings-gemini = ["llama-index-embeddings-gemini"] embeddings-huggingface = ["llama-index-embeddings-huggingface"] embeddings-ollama = ["llama-index-embeddings-ollama"] embeddings-openai = ["llama-index-embeddings-openai"] embeddings-sagemaker = ["boto3"] llms-azopenai = ["llama-index-llms-azure-openai"] +llms-gemini = ["google-generativeai", "llama-index-llms-gemini"] llms-llama-cpp = ["llama-index-llms-llama-cpp"] llms-ollama = ["llama-index-llms-ollama"] llms-openai = ["llama-index-llms-openai"] @@ -6327,4 +6511,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "992c2486ee05e66eab29026e4275dd5509074b38a31ead9db2271e6f94f6da08" +content-hash = "82e327915d074127b3a067153f69c7e3d7f1855e52356549939c51ce4c8c31ef" diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 1f05223be..f0a6b61b2 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -103,3 +103,17 @@ def __init__(self, settings: Settings) -> None: # Not a random number, is the dimensionality used by # the default embedding model self.embedding_model = MockEmbedding(384) + case "gemini": + try: + from llama_index.embeddings.gemini import ( # type: ignore + GeminiEmbedding, + ) + except ImportError as e: + raise ImportError( + "Gemini dependencies not found, install with `poetry install --extras embeddings-gemini`" + ) from e + + self.embedding_model = GeminiEmbedding( + api_key=settings.gemini.api_key, + model_name=settings.gemini.embedding_model, + ) diff --git a/private_gpt/components/llm/llm_component.py b/private_gpt/components/llm/llm_component.py index c29638b10..1fdd278aa 100644 --- a/private_gpt/components/llm/llm_component.py +++ b/private_gpt/components/llm/llm_component.py @@ -192,3 +192,16 @@ def wrapper(*args: Any, **kwargs: Any) -> Any: ) case "mock": self.llm = MockLLM() + case "gemini": + try: + from llama_index.llms.gemini import ( # type: ignore + Gemini, + ) + except ImportError as e: + raise ImportError( + "Google Gemini dependencies not found, install with `poetry install --extras llms-gemini`" + ) from e + gemini_settings = settings.gemini + self.llm = Gemini( + model_name=gemini_settings.model, api_key=gemini_settings.api_key + ) diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index 28ece4595..a66c6d1df 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -82,7 +82,14 @@ class DataSettings(BaseModel): class LLMSettings(BaseModel): mode: Literal[ - "llamacpp", "openai", "openailike", "azopenai", "sagemaker", "mock", "ollama" + "llamacpp", + "openai", + "openailike", + "azopenai", + "sagemaker", + "mock", + "ollama", + "gemini", ] max_new_tokens: int = Field( 256, @@ -157,7 +164,9 @@ class HuggingFaceSettings(BaseModel): class EmbeddingSettings(BaseModel): - mode: Literal["huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock"] + mode: Literal[ + "huggingface", "openai", "azopenai", "sagemaker", "ollama", "mock", "gemini" + ] ingest_mode: Literal["simple", "batch", "parallel", "pipeline"] = Field( "simple", description=( @@ -220,6 +229,18 @@ class OpenAISettings(BaseModel): ) +class GeminiSettings(BaseModel): + api_key: str + model: str = Field( + "models/gemini-pro", + description="Google Model to use. Example: 'models/gemini-pro'.", + ) + embedding_model: str = Field( + "models/embedding-001", + description="Google Embedding Model to use. Example: 'models/embedding-001'.", + ) + + class OllamaSettings(BaseModel): api_base: str = Field( "http://localhost:11434", @@ -426,6 +447,7 @@ class Settings(BaseModel): huggingface: HuggingFaceSettings sagemaker: SagemakerSettings openai: OpenAISettings + gemini: GeminiSettings ollama: OllamaSettings azopenai: AzureOpenAISettings vectorstore: VectorstoreSettings diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py index 4206f6533..c4bc72ad4 100644 --- a/private_gpt/ui/ui.py +++ b/private_gpt/ui/ui.py @@ -444,6 +444,7 @@ def get_model_label() -> str | None: "sagemaker": config_settings.sagemaker.llm_endpoint_name, "mock": llm_mode, "ollama": config_settings.ollama.llm_model, + "gemini": config_settings.gemini.model, } if llm_mode not in model_mapping: diff --git a/pyproject.toml b/pyproject.toml index 3d6d1dde2..c4e7fc196 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,7 @@ transformers = "^4.38.2" docx2txt = "^0.8" cryptography = "^3.1" # LlamaIndex core libs -llama-index-core = "^0.10.14" +llama-index-core = "^0.10.40" llama-index-readers-file = "^0.1.6" # Optional LlamaIndex integration libs llama-index-llms-llama-cpp = {version = "^0.1.3", optional = true} @@ -24,10 +24,12 @@ llama-index-llms-openai = {version = "^0.1.6", optional = true} llama-index-llms-openai-like = {version ="^0.1.3", optional = true} llama-index-llms-ollama = {version ="^0.1.2", optional = true} llama-index-llms-azure-openai = {version ="^0.1.5", optional = true} +llama-index-llms-gemini = {version ="^0.1.9", optional = true} llama-index-embeddings-ollama = {version ="^0.1.2", optional = true} llama-index-embeddings-huggingface = {version ="^0.1.4", optional = true} llama-index-embeddings-openai = {version ="^0.1.6", optional = true} llama-index-embeddings-azure-openai = {version ="^0.1.6", optional = true} +llama-index-embeddings-gemini = {version ="^0.1.7", optional = true} llama-index-vector-stores-qdrant = {version ="^0.1.3", optional = true} llama-index-vector-stores-chroma = {version ="^0.1.4", optional = true} llama-index-vector-stores-postgres = {version ="^0.1.2", optional = true} @@ -47,6 +49,9 @@ sentence-transformers = {version ="^2.6.1", optional = true} # Optional UI gradio = {version ="^4.19.2", optional = true} +# Optional Google Gemini dependency +google-generativeai = {version ="^0.5.4", optional = true} + [tool.poetry.extras] ui = ["gradio"] llms-llama-cpp = ["llama-index-llms-llama-cpp"] @@ -55,11 +60,13 @@ llms-openai-like = ["llama-index-llms-openai-like"] llms-ollama = ["llama-index-llms-ollama"] llms-sagemaker = ["boto3"] llms-azopenai = ["llama-index-llms-azure-openai"] +llms-gemini = ["llama-index-llms-gemini", "google-generativeai"] embeddings-ollama = ["llama-index-embeddings-ollama"] embeddings-huggingface = ["llama-index-embeddings-huggingface"] embeddings-openai = ["llama-index-embeddings-openai"] embeddings-sagemaker = ["boto3"] embeddings-azopenai = ["llama-index-embeddings-azure-openai"] +embeddings-gemini = ["llama-index-embeddings-gemini"] vector-stores-qdrant = ["llama-index-vector-stores-qdrant"] vector-stores-chroma = ["llama-index-vector-stores-chroma"] vector-stores-postgres = ["llama-index-vector-stores-postgres"] diff --git a/settings-gemini.yaml b/settings-gemini.yaml new file mode 100644 index 000000000..326e960ee --- /dev/null +++ b/settings-gemini.yaml @@ -0,0 +1,10 @@ +llm: + mode: gemini + +embedding: + mode: gemini + +gemini: + api_key: ${GOOGLE_API_KEY:} + model: models/gemini-pro + embedding_model: models/embedding-001 From b77af44fe41f0f05a3bcc3ed042f0c5064ded921 Mon Sep 17 00:00:00 2001 From: Javier Martinez Date: Fri, 5 Jul 2024 16:59:34 +0200 Subject: [PATCH 2/3] fix: crash when gemini is not selected --- settings.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/settings.yaml b/settings.yaml index b524ef6f1..d7d3c5b63 100644 --- a/settings.yaml +++ b/settings.yaml @@ -113,3 +113,8 @@ azopenai: api_version: "2023-05-15" embedding_model: text-embedding-ada-002 llm_model: gpt-35-turbo + +gemini: + api_key: ${GOOGLE_API_KEY:} + model: models/gemini-pro + embedding_model: models/embedding-001 From df22481e72e75525596303cbf4aec2a3cd134e6f Mon Sep 17 00:00:00 2001 From: Javier Martinez Date: Mon, 8 Jul 2024 11:42:39 +0200 Subject: [PATCH 3/3] docs: add gemini llm --- fern/docs/pages/manual/llms.mdx | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/fern/docs/pages/manual/llms.mdx b/fern/docs/pages/manual/llms.mdx index 8d9077eaa..703ace1d3 100644 --- a/fern/docs/pages/manual/llms.mdx +++ b/fern/docs/pages/manual/llms.mdx @@ -193,3 +193,36 @@ or When the server is started it will print a log *Application startup complete*. Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:8001/docs (API section) to try the API. + +### Using Gemini + +If you cannot run a local model (because you don't have a GPU, for example) or for testing purposes, you may +decide to run PrivateGPT using Gemini as the LLM and Embeddings model. In addition, you will benefit from +multimodal inputs, such as text and images, in a very large contextual window. + +In order to do so, create a profile `settings-gemini.yaml` with the following contents: + +```yaml +llm: + mode: gemini + +embedding: + mode: gemini + +gemini: + api_key: # You could skip this configuration and use the GEMINI_API_KEY env var instead + model: # Optional model to use. Default is models/gemini-pro" + embedding_model: # Optional model to use. Default is "models/embedding-001" +``` + +And run PrivateGPT loading that profile you just created: + +`PGPT_PROFILES=gemini make run` + +or + +`PGPT_PROFILES=gemini poetry run python -m private_gpt` + +When the server is started it will print a log *Application startup complete*. +Navigate to http://localhost:8001 to use the Gradio UI or to http://localhost:8001/docs (API section) to try the API. +