import gradio as gr
import requests
import json
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
from textwrap import wrap

# Hugging Face Inference API details
HF_API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"

import os
HF_API_KEY = os.getenv("HF_API_KEY")  # Read from environment variable

HEADERS = {"Authorization": f"Bearer {HF_API_KEY}"}

# Function to call Hugging Face API
def query_hf_api(prompt):
    payload = {"inputs": prompt}
    response = requests.post(HF_API_URL, headers=HEADERS, json=payload)
    if response.status_code == 200:
        return response.json()[0]["generated_text"]
    else:
        return f"Error: {response.status_code} - {response.text}"

# Debate function
def conduct_debate(topic):
    # AI Assistant 1's response
    prompt_1 = f"The topic of debate is: {topic}. Present your argument in favor."
    response_1 = query_hf_api(prompt_1)

    # AI Assistant 2's response
    prompt_2 = f"The topic of debate is: {topic}. Present your argument against."
    response_2 = query_hf_api(prompt_2)

    # Judge's conclusion
    prompt_judge = f"The debate topic was: {topic}. One argument in favor: {response_1}. One argument against: {response_2}. As a judge, analyze the arguments and provide a fair conclusion."
    conclusion = query_hf_api(prompt_judge)

    return response_1, response_2, conclusion

# Function to generate a properly formatted PDF
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
from reportlab.lib.utils import simpleSplit

def generate_pdf(topic, response_1, response_2, conclusion):
    pdf_filename = "debate_result.pdf"
    c = canvas.Canvas(pdf_filename, pagesize=letter)
    c.setFont("Helvetica", 12)
    
    page_width, page_height = letter
    x_margin, y_margin = 50, 750  # Starting position for text
    line_height = 16  # Space between lines

    def add_text(text, x, y):
        wrapped_text = simpleSplit(text, "Helvetica", 12, page_width - 2 * x_margin)
        for line in wrapped_text:
            if y < 50:  # If we reach the bottom margin, create a new page
                c.showPage()
                c.setFont("Helvetica", 12)
                y = y_margin  # Reset y position
            c.drawString(x, y, line)
            y -= line_height
        return y

    y_position = y_margin
    y_position = add_text(f"Debate Topic: {topic}", x_margin, y_position - 20)
    
    y_position = add_text("Argument in Favor:", x_margin, y_position - 30)
    y_position = add_text(response_1, x_margin, y_position - 10)
    
    y_position = add_text("Argument Against:", x_margin, y_position - 30)
    y_position = add_text(response_2, x_margin, y_position - 10)
    
    y_position = add_text("Judge's Conclusion:", x_margin, y_position - 30)
    y_position = add_text(conclusion, x_margin, y_position - 10)
    
    c.save()
    return pdf_filename


# Gradio UI
def debate_interface(topic):
    response_1, response_2, conclusion = conduct_debate(topic)
    pdf_file = generate_pdf(topic, response_1, response_2, conclusion)
    
    return response_1, response_2, conclusion, pdf_file

iface = gr.Interface(
    fn=debate_interface,
    inputs=gr.Textbox(label="Enter Debate Topic"),
    outputs=[
        gr.Textbox(label="Argument in Favor"),
        gr.Textbox(label="Argument Against"),
        gr.Textbox(label="Judge's Conclusion"),
        gr.File(label="Download Debate PDF")
    ],
    title="AI Debate Platform",
    description="Enter a debate topic and let two AI assistants argue, with a third AI model acting as a judge."
)

iface.launch(share=True)