| from transformers import pipeline, set_seed |
| import gradio as gr, random, re |
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| 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() |
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| for count in range(4): |
| seed = random.randint(100, 1000000) |
| set_seed(seed) |
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|
| 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(">", "") |
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| if response_end != "": |
| return response_end |
| if count == 4: |
| return response_end |
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