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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "your-username/my-wizardmath-finetuned"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
def generate_response(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=256)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
gr.Interface(fn=generate_response,
inputs="text",
outputs="text",
title="WizardMath Fine-Tuned",
description="Ask WizardMath anything!"
).launch()
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