app.py

# -*- coding: utf-8 -*-
"""chatgpt-prompts-bart-long.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/185ao64S-GtYsW71yesPrKvnywS3UKxQl

https://huggingface.co/merve/chatgpt-prompts-bart-long

# GPT to create ChatGPT prompts
"""


from transformers import AutoTokenizer, TFAutoModelForSeq2SeqLM

# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompts-bart-long")
model = TFAutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompts-bart-long")

# Define a function to generate text
def generate_text(prompt):
    # Encode the prompt
    inputs = tokenizer.encode(prompt, return_tensors='pt')

    # Generate a sequence of tokens
    outputs = model.generate(inputs, max_length=250, do_sample=True, temperature=0.7)

    # Decode the output tokens to text
    return tokenizer.decode(outputs[0], skip_special_tokens=True)



import gradio as gr

ui=gr.Interface(fn=generate_text,inputs="text",outputs="text")
ui.launch()