| 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="leftimage" align="left" src="https://templates.images.credential.net/1612472097627370951721412474196.png" alt="Image" width="210" height="210"> | |
| <img class="rightimage" align="right" 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() | |