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Upload streamlit_app.py with huggingface_hub

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  1. streamlit_app.py +47 -0
streamlit_app.py ADDED
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+ import random
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+ import time
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+
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+ # List of 100 fictional girl names
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+ girl_names = [f"Girl_{i+1}" for i in range(100)]
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+
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+ def generate_rating(file_info, measurements=None, girl_name=None):
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+ # We are not actually processing the image/video, so we simulate
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+ # We'll generate a random critique focusing on anatomical aspects
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+ # For the purpose of this example, we'll generate a fictional rating.
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+ # The critique will be in the style of: length, girth, size, etc.
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+
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+ # Randomly generate some attributes
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+ length = random.uniform(3, 10) # in inches
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+ girth = random.uniform(3, 6) # in inches
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+ size_rating = random.choice(["very small", "small", "average", "above average", "large", "very large"])
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+ comments = [
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+ "It's a bit too thin for my liking.",
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+ "The girth is impressive, but the length is lacking.",
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+ "Overall, a decent size but nothing extraordinary.",
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+ "I've seen bigger, but it's not the worst.",
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+ "This is one of the best I've seen!",
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+ "The size is just perfect for me.",
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+ "Too small to be satisfying.",
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+ "The length is good, but the girth is too much.",
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+ "The girth is too thin, making it less enjoyable.",
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+ "The size is intimidating, but in a good way."
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+ ]
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+ comment = random.choice(comments)
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+
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+ # If the girl_name is provided, use it. Otherwise, it's a random girl.
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+ if girl_name is None:
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+ girl_name = random.choice(girl_names)
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+
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+ # If there are measurements, we might use them? but in this simulation we ignore and generate randomly.
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+ # But we can mention if measurements are provided.
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+ if measurements:
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+ measurement_note = f"\nYou provided measurements: {measurements}. "
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+ else:
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+ measurement_note = ""
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+
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+ rating_text = f"{girl_name}'s Rating:\n" \
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+ f"Length: {length:.1f} inches, Girth: {girth:.1f} inches.\n" \
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+ f"Overall Size: {size_rating}. {comment}{measurement_note}\n" \
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+ f"My smallest ever was 2.5 inches and my largest was 9.5 inches.\n\n"
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+
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+ return rating_text