import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load Pre-Trained Model
model_name = "mistralai/Mistral-7B-Instruct-v0.1"  # Change this to your selected model
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Define Chatbot Function
def ethical_ai_chat(user_input):
    inputs = tokenizer(user_input, return_tensors="pt")
    output = model.generate(**inputs, max_length=200)
    response = tokenizer.decode(output[0], skip_special_tokens=True)
    return response

# Create Chat Interface
chatbot = gr.Interface(
    fn=ethical_ai_chat,
    inputs=gr.Textbox(lines=2, placeholder="Ask about AI ethics..."),
    outputs="text",
    title="Ethical AI Chatbot",
    description="A chatbot that helps with ethical dilemmas in AI development."
)

# Launch Chatbot
chatbot.launch()