facts.py

import random
import streamlit as st


nlp_facts = [
    "The term 'Natural Language Processing' was first coined in 1957.",
    "ELIZA, the first chatbot, was created in 1966 by Joseph Weizenbaum and simulated a psychotherapist.",
    "Siri, Apple's virtual assistant, was introduced in 2011 and is powered by NLP.",
    "NLP powers spam filters that block over 100 billion spam emails daily!",
    "Sentiment analysis helped predict the outcome of the 2016 U.S. presidential election by analyzing tweets.",
    "Google's BERT model, introduced in 2019, can process text in over 100 languages.",
    "NLP is used to analyze over 500 million tweets daily on platforms like Twitter.",
    "Language models like GPT can generate poems, songs, and even short stories.",
    "Microsoft Word's spell checker is an early example of NLP in everyday use.",
    "NLP helps Netflix provide personalized recommendations by analyzing user reviews.",
    "There are over 7,000 languages spoken in the world today, and NLP tools aim to process as many as possible.",
    "Google Translate processes over 100 billion words every day!",
    "NLP plays a vital role in self-driving cars, enabling them to understand road signs and verbal commands.",
    "Text summarization algorithms can condense entire books into concise summaries within seconds.",
    "By 2025, the NLP market is projected to grow to over $43 billion.",
    "Virtual assistants like Alexa and Siri rely heavily on NLP to process speech in real time.",
    "Facebook uses NLP to moderate millions of comments daily for abusive or inappropriate content.",
    "NLP algorithms can detect fake reviews with over 90% accuracy.",
    "Translation systems today can convert text between over 200 languages instantly.",
    "NLP is helping combat cyberbullying by identifying harmful messages.",
    "OpenAI’s GPT-4 model can handle over 25,000 words of context, a massive improvement over earlier models.",
    "NLP-powered chatbots can reduce customer service costs by 30%.",
    "NLP helps analyze customer feedback to improve products and services in industries worldwide.",
    "NLP tools are being developed to help endangered languages survive by digitizing them.",
    "Sentiment analysis can analyze movie reviews and predict box office success with surprising accuracy.",
    "Word embeddings like Word2Vec and GloVe revolutionized NLP by giving words numerical representations.",
    "Healthcare systems use NLP to analyze doctor’s notes and improve patient care.",
    "NLP helps financial institutions detect fraudulent transactions by analyzing emails and messages.",
    "The average person speaks 15,000 words per day, and NLP helps machines process all of it.",
    "NLP models are trained on datasets with billions of words, including entire books and web pages.",
    "Voice-to-text transcription accuracy has surpassed 95% for some models.",
    "NLP powers optical character recognition (OCR), turning scanned text into editable digital text.",
    "Real-time translation apps, powered by NLP, allow people to converse in different languages instantly.",
    "NLP is being used in e-commerce to analyze customer reviews and recommend products.",
    "The first machine translation system was developed in 1954 and translated 250 words from Russian to English.",
    "Text-to-speech systems rely on NLP to understand punctuation and natural pauses in text.",
    "NLP models can be fine-tuned for specific industries, like law, medicine, and finance.",
    "NLP helps content creators optimize their writing for search engines with SEO recommendations.",
    "Deep learning models like transformers revolutionized NLP with unparalleled accuracy.",
    "NLP is used in law enforcement to analyze crime reports and predict trends.",
    "ChatGPT, based on OpenAI’s GPT models, has over 175 billion parameters.",
    "NLP tools can summarize legal documents, saving hours of manual work.",
    "NLP is at the core of voice commands used in gaming consoles like PlayStation and Xbox.",
    "Humans can read at an average speed of 250 words per minute, but NLP systems process millions of words per second.",
    "NLP is being used to analyze climate change reports and create actionable insights for policymakers.",
    "Social media platforms use NLP to detect and remove hate speech automatically.",
    "Sentiment analysis can predict trends in the stock market by analyzing news headlines.",
    "NLP helps create subtitles for movies and TV shows in multiple languages.",
    "Smart home devices like Google Home and Amazon Echo use NLP to interpret commands.",
    "Companies use NLP to analyze call center conversations for quality assurance.",
]

def show_fun_fact():
    """Display a random NLP fun fact."""

    st.sidebar.markdown("### 🤓 NLP Fun Fact")
    if "fact" not in st.session_state:
        st.session_state.fact = random.choice(nlp_facts)
        
    st.sidebar.markdown(f"**{st.session_state.fact}**")
    
    if st.sidebar.button("🔄"):
        st.session_state.fact = random.choice(nlp_facts)