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import gradio as gr
print(gradio.__version__)
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_path = "./llama"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
trust_remote_code=True,
device_map="auto"
)
device = "cuda" if torch.cuda.is_available() else "cpu"
model = model.to(device)
def generate_response(prompt, max_tokens=50):
inputs = tokenizer(prompt, return_tensors="pt").to(device)
outputs = model.generate(**inputs, max_new_tokens=max_tokens)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
return response
interface = gr.Interface(
fn=generate_response,
inputs=[
gr.Textbox(label="Prompt", placeholder="Enter your prompt here..."),
gr.Slider(10, 100, step=10, value=50, label="Max Tokens"),
],
outputs=gr.Textbox(label="Response"),
title="Text Generation with Hugging Face Model",
description="Enter a prompt and see how the model responds!",
)
if __name__ == "__main__":
interface.launch()
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