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 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() # add "share=True" to share CHATGPT-PAPER-READER app on Internet.