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import gradio as gr
import openai
# from gpt_reader.pdf_reader import PaperReader
# from gpt_reader.prompt import BASE_POINTS
from Document_QA import QA
from Document_QA import create_embeddings
class GUI:
def __init__(self):
self.api_key = ""
self.session = ""
self.all_embedding =None
self.tokens = 0
#load pdf and create all embedings
def pdf_init(self, api_key, pdf_path):
openai.api_key = api_key
print("--------------pdf_path is:",pdf_path)
with open(pdf_path,'r',encoding='utf-8') as f:
texts = f.readlines()
#按照行对文章进行切割
texts = [text.strip() for text in texts if text.strip()]
self.all_embedding,self.tokens = create_embeddings(texts)
def get_answer(self, question):
qa = QA(self.all_embedding)
answer,context = qa(question)
return answer.strip()
# def analyse(self, api_key, pdf_file):
# self.session = PaperReader(api_key, points_to_focus=BASE_POINTS)
# return self.session.read_pdf_and_summarize(pdf_file)
# def ask_question(self, question):
# if self.session == "":
# return "Please upload PDF file first!"
# return self.session.question(question)
with gr.Blocks() as demo:
gr.Markdown(
"""
# CHATGPT-PAPER-READER
""")
with gr.Tab("Upload PDF File"):
pdf_input = gr.File(label="PDF File")
api_input = gr.Textbox(label="OpenAI API Key")
#result = gr.Textbox(label="PDF Summary")
upload_button = gr.Button("Start Analyse")
with gr.Tab("Ask question about your PDF"):
question_input = gr.Textbox(label="Your Question", placeholder="Authors of this paper?")
answer = gr.Textbox(label="Answer")
ask_button = gr.Button("Ask")
app = GUI()
upload_button.click(fn=app.pdf_init, inputs=[api_input, pdf_input])
ask_button.click(app.get_answer, inputs=question_input, outputs=answer)
if __name__ == "__main__":
demo.title = "CHATGPT-PAPER-READER"
demo.launch(debug=True,share=True) # add "share=True" to share CHATGPT-PAPER-READER app on Internet.
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