| import gradio as gr, random, re | |
| import torch | |
| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline | |
| tokenizer_en_es = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-en") | |
| model_en_es = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-en") | |
| en_es_translator = pipeline("translation_es_to_en", model = model_en_es, tokenizer = tokenizer_en_es) | |
| gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2') | |
| with open("ideas.txt", "r") as f: | |
| line = f.readlines() | |
| def generate(inputs): | |
| resultado = en_es_translator(inputs) | |
| starting_text = resultado[0]['translation_text'] | |
| for count in range(4): | |
| 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) | |
| print(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 | |
| if count == 4: | |
| return response_end | |
| txt = gr.Textbox(lines=1, label="Texto inicial", placeholder="Texto en Español") | |
| out = gr.Textbox(lines=4, label="Sugerencia generada") | |
| title = "Generador de sugerencia para Stable Diffusion (SD)" | |
| description = 'Esta es una demostración de la serie de modelos: "MagicPrompt", en este caso, dirigida a: Stable Diffusion. Para utilizarlo, simplemente envíe su texto.' | |
| article = "" | |
| gr.Interface(fn=generate, | |
| inputs=txt, | |
| outputs=out, | |
| title=title, | |
| description=description, | |
| article=article, | |
| allow_flagging='never', | |
| cache_examples=False, | |
| theme="default").launch(enable_queue=True, debug=True) | |