import os
import gradio as gr
from openai import OpenAI

# Initialize the OpenAI client
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))

# Streaming response function
def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    role,
    ad,
    requirements,
    education,
    skills,
    max_tokens,
    temperature,
    top_p,
):
    # Construct the system message
    enhanced_system_message = (
        f"{system_message}\n\n"
        f"Role, Industry and Employer: {role}\n"
        f"Job Ad Responsibilities: {ad}\n"
        f"Job Key Requirements: {requirements}\n"
            f"A Summary about the User's Education and Work Experience: {education}\n"
        f"Skills: {skills}\n"
    )

    # Compose the conversation
    messages = [{"role": "system", "content": enhanced_system_message}]
    for user_msg, assistant_msg in history:
        if user_msg:
            messages.append({"role": "user", "content": user_msg})
        if assistant_msg:
            messages.append({"role": "assistant", "content": assistant_msg})
    messages.append({"role": "user", "content": message})

    # Generate and stream response
    response_text = ""
    try:
        response = client.chat.completions.create(
            model="gpt-4o-mini",  # use "gpt-4o" if needed
            messages=messages,
            max_tokens=max_tokens,
            temperature=temperature,
            top_p=top_p,
            stream=True,
        )
        for chunk in response:
            if chunk.choices and chunk.choices[0].delta.content:
                token = chunk.choices[0].delta.content
                response_text += token
                yield response_text
    except Exception as e:
        yield f"❌ An error occurred: {str(e)}"

# Gradio interface
demo = gr.ChatInterface(
    fn=respond,
    additional_inputs=[
        gr.Textbox(
            value="You are a friendly Chatbot, a career coach and with experience as a recruiter. You are trying to help a user practice STAR-style interview questions customized for a specific role, employer organization and job Ad - based on user input. Include tips if some items are missing.",
            label="Instructions to Bot",
        ),
        gr.Textbox(label="Role, Industry and Employer", placeholder="Describe the role, industry and employer you are applying to."),
        gr.Textbox(
            label="Job Ad Responsibilities",
            placeholder="Summarize the Responsibilities advertised in the job ad",
        ),
        gr.Textbox(
            label=" Job Key Requirements ",
            placeholder="Summarize the key requirements advertised in the job ad",
        ),
        gr.Textbox(
            label="A Summary about your Education and Work Experience",
            placeholder="Describe your education, certifications, work experience, previous responsibilities and key career achievements",
        ),
        gr.Textbox(label="Skills", placeholder="List your key skills that match this job"),
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
    ],
    title="STAR-Style Interview Questions!",
    description="This app generates STAR-Style Job Interview Questions customized to the specific role, industry and employer of the job you are applying to. Based on your input. Powered by OpenAI GPT-4o, design thinking, and domain expertise. Developed by wn. Disclaimer: AI can make mistakes. Use with caution and at your own risk!",
    type="messages",  # Required for Gradio ChatInterface streaming
)

if __name__ == "__main__":
    demo.launch()