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Runtime error
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-Instruct" | |
pipeline = transformers.pipeline( | |
"text-generation", | |
model=model_name, | |
model_kwargs={"torch_dtype": torch.bfloat16}, | |
device="cpu", | |
) | |
def chat_function(message, history, system_prompt,max_new_tokens,temperature): | |
messages = [ | |
{"role": "system", "content": system_prompt}, | |
{"role": "user", "content": message}, | |
] | |
prompt = pipeline.tokenizer.apply_chat_template( | |
messages, | |
tokenize=False, | |
add_generation_prompt=True | |
) | |
terminators = [ | |
pipeline.tokenizer.eos_token_id, | |
pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>") | |
] | |
temp = temperature + 0.1 | |
outputs = pipeline( | |
prompt, | |
max_new_tokens=max_new_tokens, | |
eos_token_id=terminators, | |
do_sample=True, | |
temperature=temp, | |
top_p=0.9, | |
) | |
return outputs[0]["generated_text"][len(prompt):] | |
gr.ChatInterface( | |
chat_function, | |
chatbot=gr.Chatbot(height=400), | |
textbox=gr.Textbox(placeholder="Enter message here", container=False, scale=7), | |
title="Meta-Llama-3-8B-Instruct", | |
description=""" | |
To Learn about Fine-tuning Llama-3-8B, Check https://exnrt.com/blog/ai/finetune-llama3-8b/. | |
""", | |
additional_inputs=[ | |
gr.Textbox("You are helpful AI.", label="System Prompt"), | |
gr.Slider(512, 4096, label="Max New Tokens"), | |
gr.Slider(0, 1, label="Temperature") | |
] | |
).launch() |