Create app.py
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app.py
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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# Load Qwen model
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model_name = "Qwen/Qwen-7B"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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def chat(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=100)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Example
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prompt = "Hello, how are you?"
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print(chat(prompt))
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