| import gradio as gr | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| model_name = "mergekit-community/qwen-2.5-o1.like-pluse" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| def generate_response(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=150, temperature=0.7) | |
| response = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| return response | |
| iface = gr.Interface( | |
| fn=generate_response, | |
| inputs=gr.inputs.Textbox(lines=2, placeholder="Введите ваш вопрос"), | |
| outputs="text", | |
| title="Qwen-2.5-O1.Like-Pluse", | |
| description="Интерфейс для взаимодействия с моделью Qwen-2.5-O1.Like-Pluse" | |
| ) | |
| iface.launch() |