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https://github.com/blakeblackshear/frigate.git
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36cbffcc5e
* Initial re-implementation of semantic search * put docker-compose back and make reindex match docs * remove debug code and fix import * fix docs * manually build pysqlite3 as binaries are only available for x86-64 * update comment in build_pysqlite3.sh * only embed objects * better error handling when genai fails * ask ollama to pull requested model at startup * update ollama docs * address some PR review comments * fix lint * use IPC to write description, update docs for reindex * remove gemini-pro-vision from docs as it will be unavailable soon * fix OpenAI doc available models * fix api error in gemini and metadata for embeddings
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
"""Gemini Provider for Frigate AI."""
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from typing import Optional
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import google.generativeai as genai
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from google.api_core.exceptions import GoogleAPICallError
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from frigate.config import GenAIProviderEnum
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from frigate.genai import GenAIClient, register_genai_provider
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@register_genai_provider(GenAIProviderEnum.gemini)
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class GeminiClient(GenAIClient):
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"""Generative AI client for Frigate using Gemini."""
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provider: genai.GenerativeModel
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def _init_provider(self):
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"""Initialize the client."""
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genai.configure(api_key=self.genai_config.api_key)
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return genai.GenerativeModel(self.genai_config.model)
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def _send(self, prompt: str, images: list[bytes]) -> Optional[str]:
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"""Submit a request to Gemini."""
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data = [
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{
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"mime_type": "image/jpeg",
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"data": img,
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}
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for img in images
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] + [prompt]
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try:
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response = self.provider.generate_content(
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data,
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generation_config=genai.types.GenerationConfig(
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candidate_count=1,
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),
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request_options=genai.types.RequestOptions(
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timeout=self.timeout,
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),
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)
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except GoogleAPICallError:
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return None
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try:
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description = response.text.strip()
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except ValueError:
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# No description was generated
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return None
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return description
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