Update facts.py

facts.py

@@ -1,23 +1,68 @@
-import random
-import streamlit as st
-
-
-nlp_facts = [
-    "Did you know? Over 7000 languages are spoken in the world today!",
-    "Google Translate processes over 100 billion words every day.",
-    "The first NLP program, ELIZA, was created in 1966 as a chatbot simulation.",
-    "Sentiment analysis can help predict stock market trends using tweets!",
-    "NLP is used in healthcare to analyze patient feedback and clinical notes.",
-]
-
-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("🔄"):
+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)