from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration
import gradio as gr

tokenizer = BlenderbotTokenizer.from_pretrained("facebook/blenderbot-1B-distill")
model = BlenderbotForConditionalGeneration.from_pretrained("facebook/blenderbot-1B-distill")

conversation_history = []

def chat(user_input):
    conversation_history.append("أنت: " + user_input)
    context = "\n".join(conversation_history)
    inputs = tokenizer([context], return_tensors="pt", truncation=True, max_length=512)
    reply_ids = model.generate(**inputs, max_new_tokens=100)
    reply_text = tokenizer.decode(reply_ids[0], skip_special_tokens=True)
    conversation_history.append("🤖: " + reply_text)
    return reply_text

iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="🤖 روبوت دردشة ذكي")
iface.launch()