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import gradio as gr |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "tiiuae/falcon-7b-instruct" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True) |
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def generate_text(prompt): |
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inputs = tokenizer(prompt, return_tensors="pt", max_length=200, truncation=True) |
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outputs = model.generate(**inputs) |
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generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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return generated_text |
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iface = gr.Interface( |
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fn=generate_text, |
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inputs=gr.inputs.Textbox(), |
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outputs=gr.outputs.Textbox(), |
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live=True, |
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interpretation="default", |
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layout="vertical", |
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) |
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iface.launch() |
