app.py

from huggingface_hub import InferenceClient
import gradio as gr
import random

# Set up the client for FLAN-T5-XL model inference
client = InferenceClient("google/flan-t5-xl")

def generate_text(prompt, max_length=500):
    response = client.text_generation(prompt, max_new_tokens=max_length, temperature=0.7)
    return response

def debate_assistant(topic, stance):
    # Generate the main argument
    argument_prompt = f"""Generate a comprehensive argument for the following debate topic:
Topic: {topic}
Stance: {stance}

Include:
1. Main claim
2. Three supporting points
3. Potential counterargument
4. Rebuttal
5. Conclusion"""

    argument = generate_text(argument_prompt, max_length=600)

    # Generate a counterargument
    counter_prompt = f"""Generate a counterargument for the following debate topic:
Topic: {topic}
Original Stance: {stance}

Include:
1. Counter-claim
2. Three rebuttals
3. New supporting point
4. Conclusion"""

    counterargument = generate_text(counter_prompt, max_length=600)

    # Generate analysis
    analysis_prompt = f"""Analyze the debate on the following topic:
Topic: {topic}

Provide:
1. Topic categorization
2. Two ethical considerations
3. Three discussion questions"""

    analysis = generate_text(analysis_prompt, max_length=400)

    return f"""Argument ({stance}):
{argument}

Counterargument:
{counterargument}

Analysis:
{analysis}"""

def suggest_topic():
    topics = [
        "Should artificial intelligence be regulated?",
        "Is universal basic income a viable economic policy?",
        "Should voting be mandatory?",
        "Is space exploration a worthwhile investment?",
        "Should gene editing in humans be allowed?",
        "Is nuclear energy the solution to climate change?",
        "Should social media platforms be held responsible for user content?",
        "Is a four-day work week beneficial for society?",
        "Should animal testing be banned?",
        "Is globalization overall positive or negative for developing countries?"
    ]
    return random.choice(topics)

# Create the Gradio interface
iface = gr.Interface(
    fn=debate_assistant,
    inputs=[
        gr.Textbox(label="Debate Topic", placeholder="Enter a topic or click 'Suggest Topic'"),
        gr.Radio(["For", "Against"], label="Stance")
    ],
    outputs=gr.Textbox(label="Generated Debate Content"),
    title="AI-powered Debate Assistant (FLAN-T5-XL)",
    description="Enter a debate topic and choose a stance to generate arguments, counterarguments, and analysis.",
    examples=[
        ["Should artificial intelligence be regulated?", "For"],
        ["Is universal basic income a viable economic policy?", "Against"],
        ["Should gene editing in humans be allowed?", "For"]
    ]
)

iface.launch()