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5ea1196 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
model_name = "google-t5/t5-small"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
def generate_response(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
gr.Interface(fn=generate_response, inputs="text", outputs="text").launch()
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