app.py

import gradio as gr 
from transformers import AutoTokenizer, TFGPT2LMHeadModel

review_model = TFGPT2LMHeadModel.from_pretrained("kmkarakaya/turkishReviews-ds")
review_tokenizer = AutoTokenizer.from_pretrained("kmkarakaya/turkishReviews-ds")

def generate_review(prompt):
  input_ids = review_tokenizer.encode(prompt, return_tensors='tf')
  context_length = 40
  output = review_model.generate(
      input_ids, 
      do_sample=True,
      max_length=context_length, 
      top_k=10,
      no_repeat_ngram_size=2, 
      early_stopping=True
  )
  return(review_tokenizer.decode(output[0], skip_special_tokens=True))

title="Review Generator"
description= "Generate a review in Turkish by providing a prompt. Generation takes 15 seconds on average."
article = "<p style='text-align: center'><a href='https://youtube.com/playlist?list=PLQflnv_s49v9d9w-L0S8XUXXdNks7vPBL' target='_blank'>Full Code is here: </a></p>"                    
examples=["Bir hafta önce aldığım cep telefonu",
          "Tatil için rezervasyon yaptırdım.",
          "Henüz alalı bir"] 

demo = gr.Interface(fn=generate_review, 
                    inputs="text", 
                    outputs="text",
                    examples=examples,
                    title=title,
                    description= description,
                    article = article
                    )
demo.launch()