import streamlit as st import random import re from transformers import pipeline, set_seed gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2') with open("examples.txt", "r") as f: line = f.readlines() def generate(starting_text): seed = random.randint(100, 1000000) set_seed(seed) if starting_text == "": starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize() starting_text: str = re.sub(r"[,:\-–.!;?_]", '', starting_text) response = gpt2_pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 90)), num_return_sequences=4) response_list = [] for x in response: resp = x['generated_text'].strip() if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False: response_list.append(resp+'\n') response_end = "\n".join(response_list) response_end = re.sub('[^ ]+\.[^ ]+','', response_end) response_end = response_end.replace("<", "").replace(">", "") if response_end != "": return response_end st.title("Stable Diffusion Prompt Generator") st.markdown("This is a web app for [this](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion) model trained by Gustavosta for Stable Diffusion to create a Prompt from a few words. You can submit your own text or select from provided examples.") starting_text = st.text_input(label="Initial Text", placeholder="Text here", value="") if st.button("Generate"): result = generate(starting_text) st.write("
{}
".format("
".join(result.splitlines())), unsafe_allow_html=True) examples = [] for x in range(5): examples.append(line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize()) st.write("") st.write("
Examples:
",unsafe_allow_html=True) for example in examples: st.write("
• {}
".format(example), unsafe_allow_html=True)