| from transformers import pipeline, set_seed | |
| import gradio as gr, random, re | |
| def MagicPromptSD(current_MagicPrompt, starting_text): | |
| gpt2_pipe = pipeline('text-generation', model=current_MagicPrompt, tokenizer='gpt2') | |
| with open("ideas.txt", "r") as f: | |
| line = f.readlines() | |
| 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=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 | |