app.py

import gradio as gr
import openai
import PyPDF2
import os

class JobListGenerator:
    def __init__(self):

        openai.api_key = os.getenv("OPENAI_API_KEY")
        self.engine = 'text-davinci-003'

    def _extract_text_from_pdf(self, file_path: str) -> str:
        with open(file_path, 'rb') as file:
            reader = PyPDF2.PdfReader(file)
            pdf_extract_text = ""
            for page in reader.pages:
                pdf_extract_text += page.extract_text()
            return pdf_extract_text

    def _generate_job_list(self, resume: str) -> str:
        prompt = f"List out perfect job roles for based on resume informations:{resume}"
        response = openai.Completion.create(
            engine=self.engine,
            prompt=prompt,
            max_tokens=100,
            temperature=0,
            n=1,
            stop=None,
        )
        generated_text = response.choices[0].text.strip()
        return generated_text

    def job_list_interface(self, file) -> str:
        resume_text = self._extract_text_from_pdf(file.name)
        job_list = self._generate_job_list(resume_text)
        return job_list

    def launch_gradio_interface(self, share: bool = True):
        with gr.Blocks(css="style.css", theme=gr.themes.Soft()) as app:
            gr.HTML("""
    <img class="rightimage" align="center" src="https://companieslogo.com/img/orig/RAND.AS_BIG-0f1935a4.png?t=1651813778" alt="Image" width="150" height="140">""")
            with gr.Row():

                with gr.Column(elem_id="col-container"):
                    gr.HTML("""<center><h1>Designation Finder</h1></center>""")
                    input_file = gr.File(label="Upload Resume (PDF)")
                    btn = gr.Button(value="Submit")
                    output_text = gr.Textbox(label="Designation List")

            btn.click(self.job_list_interface, input_file, output_text)

        app.launch()
job_list_generator = JobListGenerator()
job_list_generator.launch_gradio_interface()