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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import safetensors.torch
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# Load base model and tokenizer
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base_model_name = "AIDC-AI/Marco-o1"
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tokenizer = AutoTokenizer.from_pretrained(base_model_name)
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model = AutoModelForCausalLM.from_pretrained(base_model_name)
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# Load your lightweight safetensor
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safetensor_path = "adapter_model.safetensors"
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model.load_state_dict(safetensors.torch.load_file(safetensor_path), strict=False)
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def predict(text):
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inputs = tokenizer.encode(text, return_tensors="pt")
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outputs = model.generate(inputs)
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prediction = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return prediction
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demo = gr.Interface(fn=predict, inputs="text", outputs="text")
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demo.launch()
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