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b67629f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | import sys
import json
import random
from YOUR_API_CALLER_GOES_HERE import LLM_COMPLETION
def get_response(title, poet):
"""
Creates poem-generation prompt from title and poet, and puts it into
the expected penchant format
"""
penchant_prompt = f'Write an artistic poem. The title should be "{title}". Use vivid imagery and creative metaphors throughout your work. Draw inspiration from the works of {poet}. Pay close attention to the sounds that words make when read aloud, and use these sounds to create rhythm and musicality within your piece.'
penchant_template = f"<|im_start|>system\nYou are Dolphin, a helpful AI assistant.<|im_end|>\n<|im_start|>user\n{penchant_prompt}<|im_end|>\n<|im_start|>assistant\n"
poem = LLM_COMPLETION(penchant_template)
return poem
def process_files(titles_file, poets_file, output_file):
try:
# Read "titles" and "poets" from input files
with open(titles_file, 'r') as f:
titles_data = json.load(f)
titles = titles_data.get("titles", [])
with open(poets_file, 'r') as f:
poets_data = json.load(f)
poets = poets_data.get("poets", [])
# Write responses to output JSONL file
with open(output_file, 'w') as f:
poems_to_write = 100
count = 0
while count < poems_to_write:
title = random.choice(titles)
poet = random.choice(poets)
title = title.strip()
poet = poet.strip()
response = get_response(title, poet)
output_data = {"poet": poet, "title": title, "poem": response}
f.write(json.dumps(output_data) + "\n")
count += 1
except FileNotFoundError as e:
print(f"Error: {e.filename} not found.")
except Exception as e:
print(f"An error occurred: {e}")
if __name__ == "__main__":
if len(sys.argv) != 4:
print("Usage: python script.py titles_file.json poets_file.json output_file.jsonl")
else:
titles_file = sys.argv[1]
poets_file = sys.argv[2]
output_file = sys.argv[3]
process_files(titles_file, poets_file, output_file)
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