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| import openai | |
| import gradio as gr | |
| import os | |
| class JobDescription(): | |
| def __init__(self): | |
| # Set up your OpenAI API credentials | |
| openai.api_key = os.getenv("OPENAI_API_KEY") | |
| def generate_job_description(self, role, experience): | |
| # Generate a response from the GPT-3 model | |
| prompt = f"""Your task is generate Job description for this {role} with {experience} years of experience. | |
| Job Description Must have | |
| 1. Job Title | |
| 2. Job Summary : [200 words] | |
| 3. Responsibilities : Five Responsibilities in five lines | |
| 4. Required Skills : Six Skills | |
| 5. Qualifications | |
| These topics must have in that Generated Job Description. | |
| """ | |
| response = openai.Completion.create( | |
| engine='text-davinci-003', # Choose the GPT-3 engine you want to use | |
| prompt=prompt, | |
| max_tokens=500, # Set the maximum number of tokens in the generated response | |
| temperature=0.5, # Controls the randomness of the output. Higher values = more random, lower values = more focused | |
| ) | |
| # Extract the generated text from the API response | |
| generated_text = response.choices[0].text.strip() | |
| return generated_text | |
| def gradio_interface(self): | |
| with gr.Blocks(css="style.css",theme='karthikeyan-adople/hudsonhayes-gray') as app: | |
| gr.HTML("""<center class="darkblue" style='background-color:rgb(0,1,36); text-align:center;padding:30px;'><center> | |
| <img class="leftimage" align="left" src="https://companieslogo.com/img/orig/RAND.AS_BIG-0f1935a4.png?t=1651813778" alt="Image" width="210" height="210"> | |
| <h1 class ="center" style="color:#fff">ADOPLE AI</h1></center> | |
| <br><center><h1 style="color:#fff">Generate Job Description</h1></center>""") | |
| with gr.Row(elem_id="col-container"): | |
| with gr.Column(): | |
| gr.HTML("<br>") | |
| gr.HTML( | |
| """<h1 style="text-align:center; color:"white">Generate Job Description</h1> """ | |
| ) | |
| with gr.Column(): | |
| rolls = gr.Textbox(label="Role") | |
| with gr.Column(): | |
| experience = gr.Textbox(label="Experience") | |
| with gr.Column(): | |
| analyse = gr.Button("Generate JD") | |
| with gr.Column(): | |
| result = gr.Textbox(label="Job Description",lines=8) | |
| analyse.click(self.generate_job_description, [rolls,experience], result) | |
| app.launch() | |
| jd=JobDescription() | |
| jd.gradio_interface() |