app.py

import gradio as gr
import torch
import random
from transformers import T5Tokenizer, T5ForConditionalGeneration

tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-small")
model = T5ForConditionalGeneration.from_pretrained("roborovski/superprompt-v1", torch_dtype=torch.float16)

if torch.cuda.is_available():
    device = "cuda"
    print("Using GPU")
else:
    device = "cpu"
    print("Using CPU")

model.to(device)

def generate(
    prompt,
    history,
    max_new_tokens,
    repetition_penalty,
    temperature,
    top_p,
    top_k,
    random_seed,
    seed,
):

    input_text = f"{prompt}, {history}"
    input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to(device)

    if random_seed:
        seed = random.randint(1, 100000)
        torch.manual_seed(seed)
    else:
        torch.manual_seed(seed)
        
    outputs = model.generate(
        input_ids,
        max_new_tokens=max_new_tokens,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        temperature=temperature,
        top_p=top_p,
        top_k=top_k,
    )

    better_prompt = tokenizer.decode(outputs[0])
    return better_prompt

use_random_seed = gr.Checkbox(value=False,  label="Use Random Seed", info="Check to use a random seed which is a start point for the generation process")


additional_inputs = [
    gr.Slider(
        value=512,
        minimum=250,
        maximum=512,
        step=1,
        interactive=True,
        label="Max New Tokens",
        info="The maximum numbers of new tokens, controls how long is the output",
    ),
    gr.Slider(
        value=1.2,
        minimum=0,
        maximum=2,
        step=0.05,
        interactive=True,
        label="Repetition Penalty",
        info="Penalize repeated tokens, making the AI repeat less itself",
    ),
    gr.Slider(
        value=0.5,
        minimum=0,
        maximum=1,
        step=0.05,
        interactive=True,
        label="Temperature",
        info="Higher values produce more diverse outputs",
    ),
    gr.Slider(
        value=1,
        minimum=0,
        maximum=2,
        step=0.05,
        interactive=True,
        label="Top P",
        info="Higher values sample more low-probability tokens",
    ),
    gr.Slider(
        value=1,
        minimum=1,
        maximum=100,
        step=1,
        interactive=True,
        label="Top K",
        info="Higher k means more diverse outputs by considering a range of tokens",
    ),
    use_random_seed,
    gr.Number(
        value=42,
        interactive=True,
        label="Manual Seed",
        info="A starting point to initiate the generation process",
        visible={'False' if use_random_seed else 'True'}
    ),
]


examples = [
    [
        "Expand the following prompt to add more detail: A storefront with 'Text to Image' written on it.",
        512,
        1.2,
        0.5,
        1,
        50,
        False,
        42,
    ]
]

gr.ChatInterface(
    fn=generate,
    chatbot=gr.Chatbot(
        show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"
    ),
    additional_inputs=additional_inputs,
    title="SuperPrompt-v1",
    description="Make your prompts more detailed!",
    examples=examples,
    concurrency_limit=20,
).launch(show_api=False)