import os import instructor from openai import OpenAI from pydantic import BaseModel, Field from typing import Optional from instructor import Mode # Extract API key from environment runpod_api_key = os.environ.get("RUNPOD_API_KEY") assert runpod_api_key, "RUNPOD_API_KEY is not set in environment variables" # Base URL for OpenAI client runpod_base_url = os.environ.get("RUNPOD_BASE_URL") assert runpod_base_url, "RUNPOD_BASE_URL is not set in environment variables" # Initialize OpenAI client client = instructor.patch( OpenAI(api_key=runpod_api_key, base_url=runpod_base_url), mode=Mode.JSON, ) data = [ "Brandon is 33 years old. He works as a solution architect.", "Jason is 25 years old. He is the GOAT.", "Dominic is 45 years old. He is retired.", "Jenny is 72. She is a wife and a CEO.", "Holly is 22. She is an explorer.", "There onces was a prince, named Benny. He ruled for 10 years, which just ended. He started at 22.", "Simon says, why are you 22 years old marvin?", ] if __name__ == "__main__": class UserDetail(BaseModel): name: str = Field(description="Name extracted from the text") age: int = Field(description="Age extracted from the text") occupation: Optional[str] = Field( default=None, description="Occupation extracted from the text" ) for content in data: try: user = client.chat.completions.create( response_model=UserDetail, model="TheBloke_OpenHermes-2.5-Mistral-7B-GPTQ", messages=[ { "role": "system", "content": "You are an expert at outputting json. You output valid JSON.", }, { "role": "user", "content": f"Extract the user details from the following text: {content}. Match your response to the following schema: {UserDetail.model_json_schema()}", }, ], ) print(f"Result: {user}") except Exception as e: print(f"Error: {e}") continue