import gradio as gr from transformers import AutoModelForCausalLM, AutoTokenizer import torch model_name = "reedmayhew/claude-3.7-sonnet-reasoning-gemma3-12B" # تحميل التوكنيزر والموديل 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()