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import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
model_name = "t5-small"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
def generate_text(input_text):
input_ids = tokenizer("summarize: " + input_text, return_tensors="pt", max_length=512, truncation=True).input_ids
outputs = model.generate(input_ids, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
iface = gr.Interface(
fn=generate_text,
inputs=gr.Textbox(lines=5, label="Input Text"),
outputs=gr.Textbox(label="Generated Text"),
title="Text Generator",
description="Enter text to generate a summary or continuation."
)
iface.launch() |