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import gradio as gr |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "scb10x/llama-3-typhoon-v1.5-8b" |
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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 ask_question(question): |
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inputs = tokenizer(question, return_tensors="pt") |
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outputs = model.generate(**inputs, max_length=500) |
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answer = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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return answer |
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iface = gr.Interface(fn=ask_question, inputs="text", outputs="text", title="LLaMA Chatbot") |
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iface.launch() |
