import gradio as gr from transformers import pipeline title = "tory Generator" # gpt-neo-2.7B gpt-j-6B def generate(text,the_model,max_length,temperature,repetition_penalty): generator = pipeline('text-generation', model=the_model) result = generator(text, num_return_sequences=3, max_length=max_length, temperature=temperature, repetition_penalty = repetition_penalty, no_repeat_ngram_size=2,early_stopping=False) return result[0]["generated_text"],result[1]["generated_text"],result[2]["generated_text"] def complete_with_gpt(text,context,the_model,max_length,temperature,repetition_penalty): # Use the last [context] characters of the text as context max_length = max_length+context return generate(text[-context:],the_model,max_length,temperature,repetition_penalty) def send(text1,context,text2): if len(text1)