The code below will be executed on a Colab notebook and produce an output like the following. How can I integrate iteration and openpyxl to this notebook so that the "prompt" part of the code is iterated in such a way that multiple responses, say 10, are produced and exported to individual cells A1 to A10 in an Excel notebook.

Output Response >>

Business Proposition:

Our company offers a service that uses chronotopes to help individuals and organizations identify and mitigate potential future mistakes by analyzing their past actions and decisions. We call this service "ChronoMind."

ChronoMind works by creating a personalized chronotope for each user based on their past experiences and decisions. This chronotope is then used to analyze the user's current behavior and decision-making processes, identifying patterns and trends that could lead to future mistakes.

Using this information, ChronoMind provides users with actionable insights and recommendations to help them make better decisions in the present and avoid repeating past mistakes. Our service also includes tools for tracking progress and measuring the effectiveness of these recommendations over time.

We believe that ChronoMind has enormous potential for both individual and organizational use. For individuals, it can help them make more informed decisions about everything from relationships to career choices. For organizations, it can help them identify and address systemic issues that could lead to future failures.

Our pricing model is based on a subscription model, where users pay a monthly fee for access to our services. The exact cost per user will depend on the level of personalization and analysis required, but we expect to charge anywhere from $50 to $200 per month, depending on the needs of the user.

<< End of Output Response

Setup Code:

%%capture
!pip install --upgrade git+https://github.com/UKPLab/sentence-transformers
!pip install keybert ctransformers[cuda]
!pip install --upgrade git+https://github.com/huggingface/transformers

from ctransformers import AutoModelForCausalLM

# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
model = AutoModelForCausalLM.from_pretrained(
    "TheBloke/Mistral-7B-Instruct-v0.1-GGUF",
    model_file="mistral-7b-instruct-v0.1.Q4_K_M.gguf",
    model_type="mistral",
    gpu_layers=50,
    hf=True
)

from transformers import AutoTokenizer, pipeline

# Tokenizer
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")

# Pipeline
generator = pipeline(
    model=model, tokenizer=tokenizer,
    task='text-generation',
    max_new_tokens=1000,
    repetition_penalty=1.1
)

Prompt Code that I want to Iterate

prompt = """
The following ideas are from two separate notes created independently from one another. They may or may not be related to one another. Your job is to use your amazing creative inference abilities to identify possible points of intersection between the two and invent a novel context in which this relationship is salient for the purpose of making money. Then, propose a business proposition, including an estimate of how much the product or service will cost per user in USD. Please do not repeat the original ideas verbatim. Simply use them as inspiration for the business idea, which should be unique, novel, and create enormous value for society: Note 1: That most of our current thinking is about coming up with enough ideas to keep our own past thinking, because of the mistakes they led to, from coming back to hurt us.,Note 3: Chronotopes can inform the shape of ontological networks.
"""
response = generator(prompt)
print(response[0]["generated_text"])