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chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

69 lines
1.8 KiB
Python

import argparse
from dotenv import load_dotenv
import os
from qna import qna
from find_context import find_context
from rewrite_question import rewrite_question
from build_index import create_faiss_index
from download import download
from utils.lock import acquire_lock
from constants import PDF_DIR, INDEX_DIR
def chat_with_pdf(question: str, pdf_url: str, history: list):
with acquire_lock("create_folder.lock"):
if not os.path.exists(PDF_DIR):
os.mkdir(PDF_DIR)
if not os.path.exists(INDEX_DIR):
os.makedirs(INDEX_DIR)
pdf_path = download(pdf_url)
index_path = create_faiss_index(pdf_path)
q = rewrite_question(question, history)
prompt, context = find_context(q, index_path)
stream = qna(prompt, history)
return stream, context
def print_stream_and_return_full_answer(stream):
answer = ""
for str in stream:
print(str, end="", flush=True)
answer = answer + str + ""
print(flush=True)
return answer
def main_loop(url: str):
load_dotenv(os.path.join(os.path.dirname(__file__), ".env"), override=True)
history = []
while True:
question = input("\033[92m" + "$User (type q! to quit): " + "\033[0m")
if question == "q!":
break
stream, context = chat_with_pdf(question, url, history)
print("\033[92m" + "$Bot: " + "\033[0m", end=" ", flush=True)
answer = print_stream_and_return_full_answer(stream)
history = history + [
{"role": "user", "content": question},
{"role": "assistant", "content": answer},
]
def main():
parser = argparse.ArgumentParser(description="Ask questions about a PDF file")
parser.add_argument("url", help="URL to the PDF file")
args = parser.parse_args()
main_loop(args.url)
if __name__ == "__main__":
main()