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from pathlib import Path
from typing import Optional
import click
from dotenv import load_dotenv
from loguru import logger as log
from tqdm import tqdm
from rag.generator import get_generator
from rag.generator.prompt import Prompt
from rag.retriever.retriever import Retriever
def upload(directory: str):
log.info(f"Uploading pfs found in directory {directory}...")
retriever = Retriever()
pdfs = Path(directory).glob("**/*.pdf")
for path in tqdm(list(pdfs)):
retriever.add_pdf(path=path)
def rag(generator: str, query: str, limit):
retriever = Retriever()
generator = get_generator(generator)
documents = retriever.retrieve(query, limit=limit)
prompt = Prompt(query, documents)
print("Answer: ")
for chunk in generator.generate(prompt):
print(chunk, end="", flush=True)
print(f"\n\n")
for i, doc in enumerate(documents):
print(f"### Document {i}")
print(f"**Title: {doc.title}**")
print(doc.text)
print("---")
@click.option(
"-q",
"--query",
prompt_required=False,
help="The query for rag",
prompt="Enter your query",
)
@click.option(
"-g",
"--generator",
type=click.Choice(["ollama", "cohere"], case_sensitive=False),
default="ollama",
help="Generator client",
)
@click.option(
"-l",
"--limit",
type=click.IntRange(1, 20, clamp=True),
default=5,
help="Max number of documents used in grouding",
)
@click.command()
@click.option(
"-d",
"--directory",
help="The full path to the root directory containing pdfs to upload",
type=click.Path(exists=True),
default=None,
)
def main(query: Optional[str], generator: str, limit: int, directory: Optional[str]):
if query:
rag(generator, query, limit)
elif directory:
upload(directory)
# TODO: truncate databases
# TODO: maybe add override for models
if __name__ == "__main__":
log.remove()
log.add(lambda msg: tqdm.write(msg, end=""), colorize=True)
load_dotenv()
main()
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