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vlm/vlm.py
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import os
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from typing import Any
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from vlm.vlm_interface import VLMIterface
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import google.generativeai as genai
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from dotenv import load_dotenv
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# Load environment variables from a .env file
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load_dotenv()
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# Fetch Google API key from environment variables
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_api = os.getenv("GOOGLE_API_KEY")
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NAME = "gemini-1.5-flash"
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class VLM(VLMIterface):
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"""
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This class implements the interface for a Visual Language Model (VLM) using Google's generative AI API.
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It inherits from the VLMInterface and configures the Google API to interact with the generative model.
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"""
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def __init__(self) -> None:
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"""
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Initialize the VLM object by configuring the Google generative AI model using the provided API key.
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"""
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super().__init__()
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# Configure the generative AI model with the provided API key
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genai.configure(api_key=_api)
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# Initialize the model (Gemini 1.5 Flash) from Google's generative AI
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self.vlm = genai.GenerativeModel(NAME)
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def execution(self) -> Any | None:
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"""
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Execute the VLM model and return the model object.
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If there is an error (e.g., invalid API key or connection issue), handle the exception gracefully.
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"""
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try:
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return self.vlm
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except Exception as e:
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print(f"Something went wrong with the API: {e}")
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return None
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def model_name(self) -> str:
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return NAME
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def __str__(self) -> str:
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"""
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Return a human-readable string representation of the VLM object.
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Useful for informal descriptions or when printing the object.
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"""
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return f"VLM Model: {self.vlm.model_name}"
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def __repr__(self) -> str:
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"""
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Return an official string representation of the VLM object.
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This should ideally be a valid Python expression that can recreate the object.
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"""
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return f"VLM(api_key='****', model_name='{self.vlm.model_name}')"
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