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import tensorflow as tf | |
from transformers import GPT2LMHeadModel, GPT2Tokenizer | |
import gradio as gr | |
def generate_text(sentence,len): | |
tokenizer = GPT2Tokenizer.from_pretrained("gpt2-large") | |
model = GPT2LMHeadModel.from_pretrained("gpt2-large", pad_token_id=tokenizer.eos_token_id) | |
input_ids = tokenizer.encode(sentence, return_tensors='pt') | |
output = model.generate(input_ids, max_length=len, num_beams=5, no_repeat_ngram_size=2, early_stopping=True) | |
ans=tokenizer.decode(output[0], skip_special_tokens=True) | |
return ans | |
#sentence = 'YouTube Title: AI learns to' | |
#input_ids = tokenizer.encode(sentence, return_tensors='pt') | |
iface = gr.Interface( | |
fn=generate_text, # Replace with your actual function | |
inputs=[ | |
gr.inputs.Textbox(lines=2, placeholder="Enter text here..."), | |
gr.inputs.Slider(minimum=10, maximum=1000, step=1, default=100, label="Slider Value") | |
], | |
outputs=gr.outputs.Textbox(), | |
title="Text Generation App", | |
description="Enter some text and see the generated output.", | |
) | |
iface.launch() |