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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 | |