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import streamlit as st
import pandas as pd
import numpy as np
import time
import random
import os
import hashlib
import json
from datetime import datetime
@st.cache_data
def load_famous_quotes():
famous_quotes = [
{"Number": 1, "Quote Topic": "Imagination", "Quote": "The true sign of intelligence is not knowledge but imagination. – Albert Einstein"},
{"Number": 2, "Quote Topic": "Perseverance", "Quote": "I have not failed. I've just found 10,000 ways that won't work. – Thomas Edison"},
{"Number": 3, "Quote Topic": "Innovation", "Quote": "Innovation distinguishes between a leader and a follower. – Steve Jobs"},
{"Number": 4, "Quote Topic": "Research", "Quote": "Research is what I'm doing when I don't know what I'm doing. – Wernher von Braun"},
{"Number": 5, "Quote Topic": "Possibility", "Quote": "The only way to discover the limits of the possible is to go beyond them into the impossible. – Arthur C. Clarke"},
{"Number": 6, "Quote Topic": "Success", "Quote": "Success is a science; if you have the conditions, you get the result. – Oscar Wilde"},
{"Number": 7, "Quote Topic": "Expertise", "Quote": "An expert is a person who has made all the mistakes that can be made in a very narrow field. – Niels Bohr"},
{"Number": 8, "Quote Topic": "Curiosity", "Quote": "The important thing is to not stop questioning. Curiosity has its own reason for existing. – Albert Einstein"},
{"Number": 9, "Quote Topic": "Future", "Quote": "The best way to predict the future is to invent it. – Alan Kay"},
{"Number": 10, "Quote Topic": "Progress", "Quote": "If I have seen further it is by standing on the shoulders of Giants. – Isaac Newton"},
{"Number": 11, "Quote Topic": "Logic and Imagination", "Quote": "Logic will get you from A to B. Imagination will take you everywhere. – Albert Einstein"},
{"Number": 12, "Quote Topic": "Imagination", "Quote": "Imagination is more important than knowledge. Knowledge is limited. Imagination encircles the world. – Albert Einstein"},
{"Number": 13, "Quote Topic": "Science", "Quote": "Science is a way of thinking much more than it is a body of knowledge. – Carl Sagan"},
{"Number": 14, "Quote Topic": "Problem Solving", "Quote": "We cannot solve our problems with the same thinking we used when we created them. – Albert Einstein"},
{"Number": 15, "Quote Topic": "Experimentation", "Quote": "The true method of knowledge is experiment. – William Blake"},
{"Number": 16, "Quote Topic": "Questions", "Quote": "The scientist is not a person who gives the right answers, he's one who asks the right questions. – Claude Levi-Strauss"},
{"Number": 17, "Quote Topic": "Possibility", "Quote": "It's kind of fun to do the impossible. – Walt Disney"},
{"Number": 18, "Quote Topic": "Technology", "Quote": "Any sufficiently advanced technology is indistinguishable from magic. – Arthur C. Clarke"},
{"Number": 19, "Quote Topic": "Creativity", "Quote": "Creativity is intelligence having fun. – Albert Einstein"},
{"Number": 20, "Quote Topic": "Invention", "Quote": "To invent, you need a good imagination and a pile of junk. – Thomas Edison"}
]
return pd.DataFrame(famous_quotes)
# Predefined custom quotes
custom_quotes = [
{"Number": 1, "Quote Topic": "Stages of Life 🌱", "Quote": "Every age unfolds a new lesson. Life's chapters evolve, each teaching us anew."},
{"Number": 2, "Quote Topic": "Stages of Life 🌱", "Quote": "From infancy to twilight, our journey is painted in growth. Every stage shines with its own wisdom."},
# ... (rest of the custom quotes)
{"Number": 99, "Quote Topic": "Love ❀️", "Quote": "Love is the universal language, transcending boundaries and touching souls."},
{"Number": 100, "Quote Topic": "Love ❀️", "Quote": "Through love, we find connection, unity, and the essence of existence."}
]
# Function to display a quote
def display_quote(quote):
st.markdown(f"### {quote['Number']}. {quote['Quote Topic']}")
st.markdown(quote['Quote'])
# Function to generate a short user hash
def generate_user_hash():
if 'user_hash' not in st.session_state:
session_id = str(random.getrandbits(128))
hash_object = hashlib.md5(session_id.encode())
st.session_state['user_hash'] = hash_object.hexdigest()[:8]
return st.session_state['user_hash']
# Function to load vote history from file
def load_vote_history():
try:
with open('vote_history.json', 'r') as f:
return json.load(f)
except FileNotFoundError:
return {'images': {}, 'users': {}}
# Function to save vote history to file
def save_vote_history(history):
with open('vote_history.json', 'w') as f:
json.dump(history, f)
# Function to update vote history in Markdown file
def update_history_md(image_name, user_hash):
with open('history.md', 'a') as f:
f.write(f"- {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - User {user_hash} voted for {image_name}\n")
# Function to display images
def display_images(image_dir):
col1, col2 = st.columns(2)
valid_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.bmp', '.tiff', '.webp')
images = [f for f in os.listdir(image_dir) if f.lower().endswith(valid_extensions)]
if len(images) < 2:
st.error("Not enough images in the directory.")
return
image1, image2 = random.sample(images, 2)
with col1:
st.image(os.path.join(image_dir, image1))
if st.button(f"Upvote {image1}", key=f"upvote_{image1}"):
handle_vote(image1)
with col2:
st.image(os.path.join(image_dir, image2))
if st.button(f"Upvote {image2}", key=f"upvote_{image2}"):
handle_vote(image2)
# Function to handle voting
def handle_vote(image_name):
user_hash = generate_user_hash()
vote_history = load_vote_history()
if image_name not in vote_history['images']:
vote_history['images'][image_name] = {'votes': 0, 'users': {}}
if user_hash not in vote_history['users']:
vote_history['users'][user_hash] = 0
vote_history['images'][image_name]['votes'] += 1
if user_hash not in vote_history['images'][image_name]['users']:
vote_history['images'][image_name]['users'][user_hash] = 0
vote_history['images'][image_name]['users'][user_hash] += 1
vote_history['users'][user_hash] += 1
save_vote_history(vote_history)
update_history_md(image_name, user_hash)
st.success(f"Upvoted {image_name}! Total votes: {vote_history['images'][image_name]['votes']}")
# Reset the timer when a vote is cast
st.session_state.last_interaction = time.time()
# Function to show vote history and user stats in sidebar
def show_vote_history():
st.sidebar.title("Vote History")
vote_history = load_vote_history()
# Sort users by total votes
sorted_users = sorted(vote_history['users'].items(), key=lambda x: x[1], reverse=True)
st.sidebar.subheader("User Vote Totals")
for user_hash, votes in sorted_users:
st.sidebar.write(f"User {user_hash}: {votes} votes")
# Sort images by vote count
sorted_images = sorted(vote_history['images'].items(), key=lambda x: x[1]['votes'], reverse=True)
st.sidebar.subheader("Image Vote Totals")
for i, (image_name, data) in enumerate(sorted_images):
votes = data['votes']
st.sidebar.write(f"{image_name}: {votes} votes")
# Display top 3 images
if i < 3:
st.sidebar.image(os.path.join('.', image_name), caption=f"#{i+1}: {image_name}", width=150)
# Main function
def main():
st.title("πŸ“ Super Quote Generator with Image Voting")
st.write("Welcome to the Super Quote Generator! Enjoy famous and custom quotes with advanced features.")
# Initialize session states
if 'auto_repeat' not in st.session_state:
st.session_state.auto_repeat = "On"
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'quotes_list' not in st.session_state:
st.session_state.quotes_list = 'Famous Quotes'
if 'quotes_data' not in st.session_state:
st.session_state.quotes_data = pd.DataFrame()
if 'last_interaction' not in st.session_state:
st.session_state.last_interaction = time.time()
# Sidebar configuration
with st.sidebar:
st.header("Settings")
# Data source selection
st.session_state.quotes_list = st.radio("Select Quote Source:", ['Famous Quotes', 'Custom Quotes'])
# AutoRepeat toggle
st.session_state.auto_repeat = st.radio("πŸ”„ AutoRepeat", ["On", "Off"], horizontal=True)
st.markdown("---")
st.write("Famous quotes provided by the app.")
# Display user hash
st.subheader("Your User ID")
st.write(generate_user_hash())
# Show vote history
show_vote_history()
# Load quotes data
if st.session_state.quotes_list == 'Famous Quotes':
st.session_state.quotes_data = load_famous_quotes()
else:
st.session_state.quotes_data = pd.DataFrame(custom_quotes)
# Ensure current_index is within bounds
if len(st.session_state.quotes_data) > 0:
st.session_state.current_index = st.session_state.current_index % len(st.session_state.quotes_data)
else:
st.session_state.current_index = 0
# Display images for voting
image_dir = '.' # Current directory where the app is running
display_images(image_dir)
# Display the current quote
st.subheader("Quote of the Moment")
if len(st.session_state.quotes_data) > 0:
current_quote = st.session_state.quotes_data.iloc[st.session_state.current_index]
display_quote(current_quote)
else:
st.write("No quotes available.")
# Timer logic
if st.session_state.auto_repeat == "On":
timer_placeholder = st.empty()
time_left = 10 - (time.time() - st.session_state.last_interaction)
if time_left <= 0:
# Alternate between the two quotes lists
if st.session_state.quotes_list == 'Famous Quotes':
st.session_state.quotes_list = 'Custom Quotes'
else:
st.session_state.quotes_list = 'Famous Quotes'
# Load the new quotes data
if st.session_state.quotes_list == 'Famous Quotes':
st.session_state.quotes_data = load_famous_quotes()
else:
st.session_state.quotes_data = pd.DataFrame(custom_quotes)
# Select a new random quote
if len(st.session_state.quotes_data) > 0:
st.session_state.current_index = random.randint(0, len(st.session_state.quotes_data) - 1)
else:
st.session_state.current_index = 0
st.session_state.last_interaction = time.time()
st.rerun()
else:
timer_placeholder.text(f"Time left: {int(time_left)} seconds")
else:
st.session_state.last_interaction = time.time()
# Manual refresh button
if st.button("Refresh Now"):
# Alternate between the two quotes lists
if st.session_state.quotes_list == 'Famous Quotes':
st.session_state.quotes_list = 'Custom Quotes'
else:
st.session_state.quotes_list = 'Famous Quotes'
# Load the new quotes data
if st.session_state.quotes_list == 'Famous Quotes':
st.session_state.quotes_data = load_famous_quotes()
else:
st.session_state.quotes_data = pd.DataFrame(custom_quotes)
# Select a new random quote
if len(st.session_state.quotes_data) > 0:
st.session_state.current_index = random.randint(0, len(st.session_state.quotes_data) - 1)
else:
st.session_state.current_index = 0
st.session_state.last_interaction = time.time()
st.rerun()
if __name__ == "__main__":
main()