Custom JS

%pip install faker

import os
import random
import textwrap
from faker import Faker
import openai
import time
from datetime import datetime

TOOLKIT_API_KEY = "sk-MxAwkXJgWudy-sOfXlLz0A"  # Replace with your actual key
BASE_URL = "https://api.ai.it.ufl.edu/"
client = openai.OpenAI(api_key=TOOLKIT_API_KEY, base_url=BASE_URL)

output_dir = "AI_Survey_Responses"
os.makedirs(output_dir, exist_ok=True)

familiarity_levels = ["Low", "Moderate", "High"]
ai_usage_options = ["Yes", "No"]
fake = Faker()

def build_prompt(name, familiarity, usage):
    return (
        f"Write a 200–300 word open-ended reflection from a fictional college student named {name}. "
        f"The student is enrolled in 'CTS4935: Ethics and Society in AI' and is submitting an assignment titled 'Reflection on Artificial Intelligence' dated {datetime.today().strftime('%B %d, %Y')}. "
        f"The student has {familiarity.lower()} familiarity with AI and {'does' if usage == 'Yes' else 'does not'} use AI in daily life. "
        "The response should be personal, thoughtful, and realistic—like a college student writing a profesional short essay with limited nuances. "
        "Include their name at the top, followed by the date, course name, and assignment title. "
        "Do not list metadata separately—embed familiarity and usage naturally into the reflection. "
        "Avoid generic phrasing and starting with 'When I first'. Make it sound like a real college student with a unique and professional voice."
    )

#API
def get_valid_response(prompt, retries=3, delay=5):
    for attempt in range(retries):
        try:
            response = client.chat.completions.create(
                model="gpt-oss-120b",
                messages=[{"role": "user", "content": prompt}],
                temperature=0.85
            )
            content = response.choices[0].message.content.strip()
            word_count = len(content.split())
            if word_count >= 200 and "response" not in content.lower():
                return content
        except Exception as e:
            print(f"Attempt {attempt+1} failed: {e}")
        time.sleep(delay)
    return None

# loop
saved = 0
attempts = 0
while saved < 200:
    first_name = fake.first_name()
    last_name = fake.last_name()
    full_name = f"{first_name} {last_name}"
    familiarity = random.choice(familiarity_levels)
    usage = random.choice(ai_usage_options)
    prompt = build_prompt(full_name, familiarity, usage)

    raw_response = get_valid_response(prompt)
    attempts += 1

    if raw_response:
        filename = f"{first_name}_{last_name}.txt"
        filepath = os.path.join(output_dir, filename)
        with open(filepath, "w", encoding="utf-8") as file:
            file.write(textwrap.fill(raw_response, width=80))
        saved += 1
        print(f"Saved {saved}/200: {full_name}")
    else:
        print(f"Skipped {full_name}: invalid response")

print(f"\n Done! {saved} valid responses saved after {attempts} attempts.")

import shutil
from google.colab import files

shutil.make_archive("AI_Survey_Responses_Zipped", 'zip', "AI_Survey_Responses")

files.download("AI_Survey_Responses_Zipped.zip")