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query.py
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query.py
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import os
import sys
from dotenv import load_dotenv
from llama_index import (
StorageContext, load_index_from_storage, ServiceContext
)
from llama_index.llms import OpenAI
# Load environment variables from .env file
load_dotenv()
# Use the API key from the .env file
OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
if not OPENAI_API_KEY:
raise Exception("OpenAI API key not found. Please set it in the .env file.")
def query_index(query):
# Set the API key in the environment
os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY
# Use the default ServiceContext
llm = OpenAI(model="gpt-3.5-turbo")
service_context = ServiceContext.from_defaults(llm=llm)
# Querying process
print("Loading index from storage...")
storage_context = StorageContext.from_defaults(persist_dir="./storage")
index = load_index_from_storage(storage_context, service_context=service_context)
print(f"Querying index with: '{query}'")
query_engine = index.as_query_engine()
return query_engine.query(query)
if __name__ == "__main__":
query = "Default query"
if len(sys.argv) >= 2:
query = sys.argv[1]
print("Starting the querying process...")
result = query_index(query)
print(f"Query: {query}")
print(f"Result: {result}")
print("Querying process completed.")