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)
            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)