from PyPDF2 import PdfReader
from openai import AzureOpenAI
import gradio as gr
import os

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_type = os.getenv['api_type']
        # openai.api_base = os.getenv['api_base']
        # openai.api_version = os.getenv['api_version']
        # openai.api_key = os.getenv['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.
          """
          client = AzureOpenAI(api_key=os.getenv("AZURE_OPENAI_KEY"),  
                                api_version="2023-07-01-preview",
                                azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
                                 )
            
          conversation = [
                        {"role": "system", "content": "You are a helpful incomplete sentences finder"},
                        {"role": "user", "content": f"""list out the incomplete sentences in the following text: {text}"""}
                        ]
                    
          # Call OpenAI GPT-3.5-turbo
          chat_completion = client.chat.completions.create(
                model = "GPT-3",
                messages = conversation,
                max_tokens=1000,
                temperature=0
            )
          response = chat_completion.choices[0].message.content
          return response

    def get_incomplete_sentence(self,pdf_file_path) -> str:

        """
        Extract text from the PDF document and find incomplete sentences.

        Returns:
            str: Incomplete sentences identified by GPT-3.
        """
        try:
            # Open the multi-page PDF using PdfReaderer
            pdf = PdfReader(pdf_file_path.name)
    
            incomplete_text = ""
    
            # Extract text from each page and pass it to the process_text function
            for page_number in range(len(pdf.pages)):
    
                # Extract text from the page
                page = pdf.pages[page_number]
                text = page.extract_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)