import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

class ChatApp:
def __init__(self, model_id):
self.model_id = model_id
self.model = None
self.tokenizer = None

def load_model(self):
self.model = AutoModelForCausalLM.from_pretrained(self.model_id)
self.tokenizer = AutoTokenizer.from_pretrained(self.model_id)

def generate_response(self, input_text):
input_ids = self.tokenizer.encode(input_text, return_tensors="pt")
output = self.model.generate(input_ids, max_length=100)
response = self.tokenizer.decode(output[0], skip_special_tokens=True)
return response

def start_chat(self):
gr.Interface(fn=self.generate_response, inputs="text", outputs="text").launch()

def main():
model_id = "gpt2"
chat_app = ChatApp(model_id)
chat_app.load_model()
chat_app.start_chat()

if __name__ == "__main__":
main()