#575 Recursive Prompt Improver -- Designed by ChatGPT

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#575 Recursive Prompt Improver -- Designed by ChatGPT

#575 Provide python code to receive an initial prompt as input then interact with the user to generate the best prompt possible

Sure, here's an example Python code using the input function to receive an initial prompt from the user, and then using a loop to interact with the user and generate the best prompt possible:

# Define a function to generate the best prompt possible

def generate_prompt(prompt):

    # Implement your logic to generate the best prompt possible here

    # For example, you could use a machine learning model or some other algorithm

    # to generate a prompt based on the input prompt

    # In this example, we will simply add a question mark to the end of the prompt

    return prompt + "?"


# Receive an initial prompt from the user

prompt = input("Please enter a prompt: ")


# Generate the best prompt possible based on the initial prompt

new_prompt = generate_prompt(prompt)


# Interact with the user to improve the prompt

while True:

    # Display the new prompt to the user and ask if it is acceptable

    response = input("Is this prompt acceptable? Type 'yes' or 'no': " + new_prompt + " ")

    

    # If the user indicates that the new prompt is acceptable, exit the loop

    if response.lower() == "yes":

        break

    

    # Otherwise, ask the user for feedback on how to improve the prompt

    feedback = input("Please provide feedback on how to improve the prompt: ")

    

    # Use the feedback to generate a new prompt and repeat the loop

    new_prompt = generate_prompt(feedback)

    

# Once the user indicates that the prompt is acceptable, use the final prompt for further processing or output

print("The final prompt is:", new_prompt)

This code defines a function called generate_prompt that takes a prompt as input and generates the best prompt possible based on the input. In this example, the function simply adds a question mark to the end of the prompt.

The code then receives an initial prompt from the user using the input function and generates the best prompt possible based on the input using the generate_prompt function.

The code then enters a loop where it interacts with the user to improve the prompt. It displays the new prompt to the user and asks if it is acceptable. If the user indicates that the new prompt is acceptable, the loop exits. Otherwise, it asks the user for feedback on how to improve the prompt, uses the feedback to generate a new prompt, and repeats the loop.

Once the user indicates that the prompt is acceptable, the code uses the final prompt for further processing or output.


From <https://chat.openai.com/chat>

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