import gradio as gr
import spaces
import torch

import transformers
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "meta-llama/Meta-Llama-3-8B"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16,device_map="auto")


@spaces.GPU
def yes_man(message, history):
    input_ids = tokenizer(message, return_tensors="pt").input_ids.to(model.device)
    output = model.generate(input_ids, max_length=512, num_return_sequences=1)
    detailed_prompt = tokenizer.decode(output[0], skip_special_tokens=True)
    return detailed_prompt

gr.ChatInterface(
    yes_man,
    chatbot=gr.Chatbot(height=300),
    textbox=gr.Textbox(placeholder="Enter message here", container=False, scale=7),
    title="LLAMA 3 8B Chat",
    description="Ask Yes Man any question",
    theme="soft",
    examples=["Hello", "Am I cool?", "Are tomatoes vegetables?"],
    cache_examples=True,
    retry_btn=None,
    undo_btn="Delete Previous",
    clear_btn="Clear",
).launch()