anycoder-2a149881 / streamlit_app.py
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import random
import time
# List of 100 fictional girl names
girl_names = [f"Girl_{i+1}" for i in range(100)]
def generate_rating(file_info, measurements=None, girl_name=None):
# We are not actually processing the image/video, so we simulate
# We'll generate a random critique focusing on anatomical aspects
# For the purpose of this example, we'll generate a fictional rating.
# The critique will be in the style of: length, girth, size, etc.
# Randomly generate some attributes
length = random.uniform(3, 10) # in inches
girth = random.uniform(3, 6) # in inches
size_rating = random.choice(["very small", "small", "average", "above average", "large", "very large"])
comments = [
"It's a bit too thin for my liking.",
"The girth is impressive, but the length is lacking.",
"Overall, a decent size but nothing extraordinary.",
"I've seen bigger, but it's not the worst.",
"This is one of the best I've seen!",
"The size is just perfect for me.",
"Too small to be satisfying.",
"The length is good, but the girth is too much.",
"The girth is too thin, making it less enjoyable.",
"The size is intimidating, but in a good way."
]
comment = random.choice(comments)
# If the girl_name is provided, use it. Otherwise, it's a random girl.
if girl_name is None:
girl_name = random.choice(girl_names)
# If there are measurements, we might use them? but in this simulation we ignore and generate randomly.
# But we can mention if measurements are provided.
if measurements:
measurement_note = f"\nYou provided measurements: {measurements}. "
else:
measurement_note = ""
rating_text = f"{girl_name}'s Rating:\n" \
f"Length: {length:.1f} inches, Girth: {girth:.1f} inches.\n" \
f"Overall Size: {size_rating}. {comment}{measurement_note}\n" \
f"My smallest ever was 2.5 inches and my largest was 9.5 inches.\n\n"
return rating_text