import fitz # PyMuPDF import openai import gradio as gr class IncompleteSentenceFinder: """ This class finds and displays incomplete sentences in a PDF document using OpenAI's GPT-3. Args: api_key (str): Your OpenAI API key. """ def __init__(self): """ Initialize the IncompleteSentenceFinder with the PDF file and OpenAI API key. Args: api_key (str): Your OpenAI API key. """ # openai.api_key = openai_api_key pass def _check_incomplete_sentence(self, text: str) -> str: """ Use OpenAI's GPT-3 to identify incomplete sentences in the given text. Args: text (str): Text to check for incomplete sentences. Returns: str: Incomplete sentences identified by GPT-3. """ # Create a request to OpenAI's GPT-3 engine to identify incomplete sentences. response = openai.Completion.create( engine="text-davinci-003", prompt=f"list out the incomplete sentences in the following text:\n{text}", max_tokens=1000, ) # Extract and strip the text of identified incomplete sentences from the GPT-3 response. incomplete_sentences = response.choices[0].text.strip() print("incomplete_sentences Extracted Successfully!") return incomplete_sentences def get_incomplete_sentence(self,pdf_file) -> str: """ Extract text from the PDF document and find incomplete sentences. Returns: str: Incomplete sentences identified by GPT-3. """ try: # Open the PDF file using PyMuPDF's fitz library doc = fitz.open(pdf_file.name) incomplete_text = "" # Iterate through each page in the PDF document and extract the text for page in doc: text = page.get_text() incomplete_text += self._check_incomplete_sentence(text) return incomplete_text except Exception as e: print(f"An error occurred: {str(e)}") def file_output_fnn(self,file_path): file_path = file_path.name return file_path def gradio_interface(self): with gr.Blocks(css="style.css",theme='xiaobaiyuan/theme_brief') as demo: with gr.Row(elem_id = "col-container",scale=0.80): with gr.Column(elem_id = "col-container",scale=0.80): file1 = gr.File(label="File",elem_classes="filenameshow") with gr.Column(elem_id = "col-container",scale=0.20): upload_button1 = gr.UploadButton( "Browse File",file_types=[".txt", ".pdf", ".doc", ".docx",".json",".csv"], elem_classes="uploadbutton") incomplete_sentence_btn = gr.Button("Get Headings",elem_classes="uploadbutton") with gr.Row(elem_id = "col-container",scale=0.60): headings = gr.Textbox(label = "Headings") upload_button1.upload(self.file_output_fnn,upload_button1,file1) incomplete_sentence_btn.click(self.get_incomplete_sentence,upload_button1,headings)