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from pathlib import Path
from dotenv import load_dotenv
from rag.generator import MODELS, get_generator
from rag.generator.prompt import Prompt
from rag.retriever.retriever import Retriever
if __name__ == "__main__":
load_dotenv()
retriever = Retriever()
print("\n\nRetrieval Augmented Generation\n")
model = input(f"Enter model ({MODELS}):")
while True:
choice = input("1. Add pdf from path\n2. Enter a query\n")
match choice:
case "1":
path = input("Enter the path to the pdf: ")
path = Path(path)
retriever.add_pdf(path=path)
case "2":
query = input("Enter your query: ")
if query:
generator = get_generator(model)
documents = retriever.retrieve(query)
prompt = Prompt(query, documents)
print("Answer: \n")
for chunk in generator.generate(prompt):
print(chunk, end="", flush=True)
case _:
print("Invalid option!")
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