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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import gradio as gr |
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import torch |
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B", trust_remote_code=True) |
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model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B", device_map="auto", torch_dtype=torch.float16, trust_remote_code=True) |
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def respond(message): |
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inputs = tokenizer(message, return_tensors="pt").to(model.device) |
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outputs = model.generate(**inputs, max_new_tokens=200) |
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response = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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return response |
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gr.Interface( |
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fn=respond, |
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inputs=gr.Textbox(label="Ваше сообщение"), |
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outputs=gr.Textbox(label="Qwen отвечает"), |
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title="Qwen Прокси", |
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description="Это API-прокси для Janotaro.ai" |
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).launch() |
