GPT appliaction for the prediction of future habits for thedevdad_

gistfile1.txt

import openai

openai.api_key = 'your-api-key'

def get_habit_data(user_id):
    # This function should connect to your habit-building app's database
    # and return the user's habit data.
    # For now, I'll just return some dummy data.
    return {
        "exercise": {
            "frequency": "daily",
            "duration": "30 minutes",
            "progress": "improving"
        },
        "meditation": {
            "frequency": "weekly",
            "duration": "15 minutes",
            "progress": "stagnant"
        }
    }

def generate_suggestions(habit_data):
    # Convert the habit data into a string that the model can understand
    habit_text = "\n".join(f"{habit}: {data['frequency']}, {data['duration']}, {data['progress']}" for habit, data in habit_data.items())
    
    # Use the GPT-3.5 model to generate suggestions
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"The user has the following habits:\n{habit_text}\nWhat suggestions can we give them?",
        temperature=0.5,
        max_tokens=100
    )

    return response.choices[0].text.strip()

def main():
    user_id = 123  # Replace with the actual user ID
    habit_data = get_habit_data(user_id)
    suggestions = generate_suggestions(habit_data)
    print(suggestions)

if __name__ == "__main__":
    main()