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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_name = "reedmayhew/claude-3.7-sonnet-reasoning-gemma3-12B"
# ุชุญู
ูู ุงูุชููููุฒุฑ ูุงูู
ูุฏูู
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16).to("cuda")
def generate_text(prompt):
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=100)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Gemma 3 12B Claude Reasoning")
if __name__ == "__main__":
iface.launch()
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