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import os
from openai import OpenAI
from dotenv import load_dotenv
from utils import read_config
import random
import time # Import time for retry delay
load_dotenv()
client = OpenAI(
base_url="https://text.pollinations.ai/openai",
api_key="YOUR_API_KEY" # Add if needed
)
def pre_process():
# Read the configuration and substitute the character placeholder
config = read_config()
system_prompt = config['llm']['system_prompt']
char = config['llm']['char']
return system_prompt.replace("{char}", char)
def generate_llm(prompt, model="openai-large", max_tokens=8000):
system_prompt = pre_process()
while True: # Keep retrying indefinitely
try:
# Use OpenAI's ChatCompletion API
randomSeed = random.randint(0, 9999999)
response = client.chat.completions.create(
model=model,
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": prompt}
],
max_tokens=max_tokens,
seed=randomSeed
)
# Return the generated text
return response.choices[0].message.content.strip()
except Exception as e:
print(f"Error occurred: {str(e)}. Retrying in 5 seconds...")
time.sleep(5) # Wait before retrying
# Example usage (can be removed or commented out in production):
if __name__ == "__main__":
sample_prompt = "search for free image generation api"
print("Response:", generate_llm(sample_prompt)) |