import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load DeepSeek-R1 model
model_name = "deepseek-ai/DeepSeek-R1"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Chat function
def chat_with_ai(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=250)
    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return response

# Gradio UI
ui = gr.Interface(
    fn=chat_with_ai,
    inputs=gr.Textbox(label="Ask me anything..."),
    outputs="text",
    title="💬 DeepSeek-R1 AI",
    description="Chat with your own DeepSeek-R1 model hosted on Hugging Face Cloud!"
)

ui.launch()