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import tweepy
import openai
import time
import os
# Authentication for Twitter API (using environment variables for security)
def authenticate_twitter():
auth = tweepy.OAuth1UserHandler(
consumer_key=os.getenv('TWITTER_API_KEY'),
consumer_secret=os.getenv('TWITTER_API_SECRET_KEY'),
access_token=os.getenv('TWITTER_ACCESS_TOKEN'),
access_token_secret=os.getenv('TWITTER_ACCESS_TOKEN_SECRET')
)
api = tweepy.API(auth)
return api
# Authentication for OpenAI API
def authenticate_openai():
openai.api_key = os.getenv('OPENAI_API_KEY')
# Function to generate a tweet using GPT-3
def generate_tweet():
response = openai.Completion.create(
engine="text-davinci-003", # Choose the model to use
prompt="Create a tweet in the style of a humorous AI agent, keeping it casual and engaging.",
max_tokens=50
)
tweet = response.choices[0].text.strip()
return tweet
# Function to send the tweet to Twitter
def send_tweet(api, tweet):
try:
api.update_status(tweet) # Send the generated tweet
print(f"Tweet sent: {tweet}")
except tweepy.TweepError as e:
print(f"Error: {e}")
# Main function to control the tweet posting loop
def main():
twitter_api = authenticate_twitter() # Get Twitter API instance
authenticate_openai() # Authenticate OpenAI API
while True:
tweet = generate_tweet() # Generate a new tweet
print(f"Generated Tweet: {tweet}")
send_tweet(twitter_api, tweet) # Send the tweet to Twitter
time.sleep(1800) # Wait for 30 minutes before posting the next tweet
if __name__ == "__main__":
main() # Start the program
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