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from transformers import pipeline, set_seed
from flask import Flask, request, jsonify
import random, re
app = Flask(__name__)
# Initialize the GPT-2 pipeline
gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2')
with open("ideas.txt", "r") as f:
lines = f.readlines()
def generate_prompt(starting_text):
for count in range(4):
seed = random.randint(100, 1000000)
set_seed(seed)
# Choose a random line from the file if the input text is empty
if starting_text == "":
starting_text = lines[random.randrange(0, len(lines))].strip().lower().capitalize()
starting_text = re.sub(r"[,:\-–.!;?_]", '', starting_text)
# Generate 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 not resp.endswith((":", "-", "—")):
response_list.append(resp + '\n')
# Clean the generated text
response_end = "\n".join(response_list)
response_end = re.sub(r'[^ ]+\.[^ ]+', '', response_end) # Removes strings like 'abc.xyz'
response_end = response_end.replace("<", "").replace(">", "")
if response_end:
return response_end
if count == 4:
return response_end
# Define the API endpoint
@app.route('/', methods=['GET'])
def generate_api():
starting_text = request.args.get('text', default="", type=str)
result = generate_prompt(starting_text)
return jsonify({"generated_text": result})
if __name__ == '__main__':
# Run the Flask app on port 7860
app.run(host='0.0.0.0', port=7860)
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