Update app.py
Browse files
app.py
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def
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# Crear interfaz Gradio para generar tweets
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demo = gr.Interface(fn=generate_tweet, inputs="text", outputs="text")
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demo.launch()
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import tweepy # Import the tweepy library to interact with Twitter API
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import openai # Import OpenAI API for language generation
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import time # Import time library to control tweet timing
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# Authentication for Twitter API
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def authenticate_twitter():
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auth = tweepy.OAuth1UserHandler(
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consumer_key='RGo5d1VySEtOd2VXX2p3MWEzWVU6MTpjaQ',
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consumer_secret='6yww6Q1YzERRPc4ypEXcTcK1J3ET_rKK7i88z9KDKiNoA7PpuC',
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access_token='1862985406393823232-gnHrZgwXsU3Y4822LfxyXp3ZMnDDNj',
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access_token_secret='lR6rNMOI6UtVmqtS6Nsa5lXR7k9f67qQ5FF6nOChdhjdU'
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)
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api = tweepy.API(auth)
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return api
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# Authentication for OpenAI API
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def authenticate_openai():
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openai.api_key = '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'
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# Function to generate a tweet using GPT-3
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def generate_tweet():
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response = openai.Completion.create(
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engine="text-davinci-003", # You can choose the model to use
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prompt="Create a tweet in the style of a humorous AI agent, keeping it casual and engaging.",
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max_tokens=50
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)
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tweet = response.choices[0].text.strip()
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return tweet
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# Function to send the tweet to Twitter
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def send_tweet(api, tweet):
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api.update_status(tweet) # Send the generated tweet
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# Main function to control the tweet posting loop
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def main():
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twitter_api = authenticate_twitter() # Get Twitter API instance
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authenticate_openai() # Authenticate OpenAI API
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while True:
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tweet = generate_tweet() # Generate a new tweet
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print(f"Tweeting: {tweet}")
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send_tweet(twitter_api, tweet) # Send the tweet to Twitter
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time.sleep(1800) # Wait for 30 minutes before posting the next tweet
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if __name__ == "__main__":
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main() # Start the program
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