File size: 729 Bytes
a426cdf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
# Load DeepSeek model
model_id = "deepseek-ai/deepseek-llm-7b-chat"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
def generate_response(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
do_sample=True,
temperature=1.0,
top_p=0.9
)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
# return "Hello " + name + "!!"
demo = gr.Interface(fn=generate_response, inputs="text", outputs="text")
demo.launch() |