import os
import gradio as gr
from openai import OpenAI

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

# Response generation with streaming
def respond(
    message,
    history: list[dict],
    system_message,
    customer_profile,
    customer_goals,
    company_solution,
    main_topic,
    ask_for_topic_suggestions,
    max_tokens,
    temperature,
    top_p,
):
    # Compose system message
    enhanced_system_message = (
        f"{system_message}\n\n"
        f"Customer Profile: {customer_profile}\n"
        f"Customer Goals, Pain Points, Obstacles, Wishes and Preferences: {customer_goals}\n"
        f"Company solutions, products or services, value proposition and differentiators to solve customer problem: {company_solution}\n"
        f"Main Topic: {main_topic}\n"
    )
    if ask_for_topic_suggestions:
        enhanced_system_message += "\nThe user is also asking for topic suggestions to address their customer's needs."

    # Format messages
    messages = [{"role": "system", "content": enhanced_system_message}]
    for m in history:
        messages.append({"role": "user", "content": m["user"]})
        if m.get("assistant"):
            messages.append({"role": "assistant", "content": m["assistant"]})
    messages.append({"role": "user", "content": message})

    # Stream OpenAI response
    response_text = ""
    try:
        response = client.chat.completions.create(
            model="gpt-4o-mini",  # or other model as available
            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 definition
demo = gr.ChatInterface(
    fn=respond,
    additional_inputs=[
        gr.Textbox(
            value="You are a friendly Chatbot, a digital marketing expert and a talented copywriter. You are trying to help a user write a creative post to improve their SEO based on their input.",
            label="Instructions to Bot",
        ),
        gr.Textbox(label="Your Customer Profile", placeholder="Describe your customer profile (e.g., age, interests, profession)"),
        gr.Textbox(
            label="Customer Goals, Pain Points, Obstacles, Wishes and Preferences",
            placeholder="Describe your customer's goals, pain points, concerns, obstacles, wishes, and preferences",
        ),
        gr.Textbox(
            label="Company solutions, products or services",
            placeholder="Describe your company's solutions, products or services, value proposition and differentiators",
        ),
        gr.Textbox(label="Main Topic", placeholder="Enter the main topic of the post"),
        gr.Checkbox(label="Ask for Topic Suggestions", value=False),
        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="SEO Assistant",
    description=(
        "This app provides customized content that resonates with your customers to improve your SEO. "
        "Based on your input. Powered by OpenAI GPT-4o-mini and domain expertise. "
        "Expand Additional Inputs by clicking on the arrow, input more details about your customers, then a message describing what you need the assistant to do for you. "
        "Developed by wn. Disclaimer: AI can make mistakes. Use with caution and at your own risk!"
    ),
    type="messages",  # ensures compatibility with Gradio streaming ChatInterface
)

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