import openai
import gradio as gr

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=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="210" height="210">""")

            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> """
                )
                gr.HTML("<br>")
              with gr.Column():
                rolls = gr.Textbox(label="Rolls")
              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()