import gradio as gr
from transformers import pipeline

# Load a pre-trained LLM for conversational tasks (e.g., GPT-like models)
model = pipeline('text-generation', model="gpt2")

# Define the chatbot response function
def chatbot(input_text):
    response = model(input_text, max_length=100, num_return_sequences=1)
    return response[0]['generated_text']

# Create Gradio interface
iface = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="Simple Chatbot")

# Launch the Gradio app
iface.launch()