app.py

import gradio as gr
from transformers import GPT2LMHeadModel, GPT2Tokenizer

# Load GPT-2 for both initial argument and counter-argument
model = GPT2LMHeadModel.from_pretrained("gpt2-medium")
tokenizer = GPT2Tokenizer.from_pretrained("gpt2-medium")

def generate_argument(prompt, max_length=200, temperature=0.7):
    try:
        inputs = tokenizer.encode(prompt, return_tensors="pt")
        outputs = model.generate(
            inputs,
            max_length=max_length,
            temperature=temperature,
            num_return_sequences=1,
            do_sample=True,
            pad_token_id=tokenizer.eos_token_id
        )
        return tokenizer.decode(outputs[0], skip_special_tokens=True).replace(prompt, "").strip()
    except Exception as e:
        return f"An error occurred: {str(e)}"

def generate_initial_argument(query):
    prompt = f"Topic: {query}\n\nProvide a logical explanation supporting this topic:\n"
    return generate_argument(prompt, max_length=150)

def generate_counter_argument(query, initial_argument):
    prompt = f"Topic: {query}\n\nInitial argument: {initial_argument}\n\nProvide a well-reasoned counter-argument:\n"
    return generate_argument(prompt, max_length=200, temperature=0.8)

def debate(query):
    initial_argument = generate_initial_argument(query)
    counter_argument = generate_counter_argument(query, initial_argument)
    return initial_argument, counter_argument

# Define the Gradio interface
iface = gr.Interface(
    fn=debate,
    inputs=gr.Textbox(lines=2, placeholder="Enter your question or topic for debate here..."),
    outputs=[
        gr.Textbox(label="Initial Argument (GPT-2)"),
        gr.Textbox(label="Counter-Argument (GPT-2)")
    ],
    title="Two-Perspective Debate System",
    description="Enter a question or topic. GPT-2 will provide an initial argument and a counter-argument.",
    examples=[
        ["Is it good for kids to go to schools, or are they wasting their time?"],
        ["Should governments prioritize space exploration or addressing climate change?"],
        ["Is genetic engineering in humans ethical for disease prevention?"]
    ]
)

# Launch the interface
iface.launch()