Update app.py

app.py

@@ -12,7 +12,7 @@ st.set_page_config(page_title="AI For Everyone", layout="wide")
 os.makedirs("audio", exist_ok=True)
 
 # -------------------------------
-# Analytics & Leaderboard
+# Session State Setup
 # -------------------------------
 if "analytics" not in st.session_state:
     st.session_state.analytics = {}
@@ -22,13 +22,16 @@ if "started" not in st.session_state:
     st.session_state.started = False
 
 # -------------------------------
-# Clean Filename
+# Helpers
 # -------------------------------
 def clean_filename(text):
     return re.sub(r"[^\w\s-]", "", text).replace(" ", "_")
 
+def remove_non_latin(text):
+    return text.encode("latin-1", "ignore").decode("latin-1")
+
 # -------------------------------
-# Certificate Generator (DigiSkills style)
+# Certificate Generator
 # -------------------------------
 def create_certificate(user, topic, score):
     pdf = FPDF(orientation="L", unit="mm", format="A4")
@@ -40,30 +43,30 @@ def create_certificate(user, topic, score):
     pdf.set_text_color(255, 255, 255)
     pdf.set_font("Arial", "B", 22)
     pdf.set_y(5)
-    pdf.cell(0, 10, "FUTURE TECH LEADERS", ln=True, align="C")
+    pdf.cell(0, 10, remove_non_latin("FUTURE TECH LEADERS"), ln=True, align="C")
 
     # Main content
     pdf.set_y(35)
     pdf.set_text_color(0, 0, 0)
     pdf.set_font("Arial", "B", 28)
-    pdf.cell(0, 15, user.upper(), ln=True, align="C")
+    pdf.cell(0, 15, remove_non_latin(user.upper()), ln=True, align="C")
 
     pdf.set_font("Arial", "", 16)
-    pdf.cell(0, 10, f"has completed the training in {topic.upper()} under", ln=True, align="C")
-    pdf.cell(0, 10, "AI For Everyone – Digital Literacy Hub", ln=True, align="C")
+    pdf.cell(0, 10, remove_non_latin(f"has completed the training in {topic.upper()} under"), ln=True, align="C")
+    pdf.cell(0, 10, remove_non_latin("AI For Everyone - Digital Literacy Hub"), ln=True, align="C")
 
     pdf.set_font("Arial", "I", 12)
-    pdf.cell(0, 10, "Batch-01 | Jul 2025 - Sep 2025", ln=True, align="C")
+    pdf.cell(0, 10, remove_non_latin("Batch-01 | Jul 2025 - Sep 2025"), ln=True, align="C")
 
     pdf.set_font("Arial", "", 14)
     pdf.ln(4)
-    pdf.cell(0, 10, f"Score Achieved: {score}/5", ln=True, align="C")
+    pdf.cell(0, 10, remove_non_latin(f"Score Achieved: {score}/5"), ln=True, align="C")
 
     # Footer
     pdf.set_y(-35)
     pdf.set_font("Arial", "I", 11)
     pdf.cell(0, 10, f"Issue Date: {datetime.today().strftime('%d/%m/%Y')}", ln=True, align="C")
-    pdf.cell(0, 10, "Issued by Future Tech Leaders", ln=True, align="C")
+    pdf.cell(0, 10, remove_non_latin("Issued by Future Tech Leaders"), ln=True, align="C")
     cert_id = f"FTL-{datetime.now().strftime('%y%m%d%H%M%S')}"
     pdf.cell(0, 10, f"Certificate ID: {cert_id}", ln=True, align="C")
 
@@ -82,234 +85,40 @@ def generate_audio_if_missing(topic, text):
     return filename
 
 # -------------------------------
-# Insert 10 full AI modules here
-# Replace with your full topics from previous steps
-# Each topic should have: "intro": [...], "quiz": [{q, O, A}, ...]
+# Topic Modules (Paste Full Here)
 # -------------------------------
 modules = {
     "What is AI?": {
         "intro": [
-            "Artificial Intelligence (AI) is the field of computer science that aims to create machines capable of intelligent behavior.",
-            "It involves building systems that can learn from data, reason through logic, perceive their environment, and make decisions.",
-            "AI is used in everyday applications like voice assistants, image recognition, and recommendation engines.",
-            "It draws on statistics, data mining, and machine learning algorithms.",
-            "AI can help automate repetitive tasks, saving time and reducing human error.",
-            "It powers self-driving cars, fraud detection systems, and smart healthcare tools.",
-            "There are different levels—such as narrow AI (task-specific) and general AI (multi-purpose).",
-            "Narrow AI is what we have today; general AI remains a future goal.",
-            "Understanding AI helps individuals adapt to the changing job market.",
-            "Ethical AI usage ensures fairness, transparency, and privacy.",
-            "Learning AI foundations enables you to innovate in various industries.",
-            "As data becomes central to modern life, AI skills become more essential."
-        ],
-        "quiz": [
-            {"q": "AI stands for?", "O": ["Automated Interface","Artificial Intelligence","Applied Informatics","Advanced Integration"], "A": "Artificial Intelligence"},
-            {"q": "Narrow AI refers to systems that are?", "O": ["Task-specific","Human-like","Self-aware","Multilingual"], "A": "Task-specific"},
-            {"q": "Which powers voice assistants?", "O": ["AI","Manual Input","Open Source","Wireless"], "A": "AI"},
-            {"q": "General AI means?", "O": ["One task only","Human-level intelligence","Collecting data","Math only"], "A": "Human-level intelligence"},
-            {"q": "AI systems learn from?", "O": ["Data","Magic","Sunlight","Noise"], "A": "Data"}
-        ]
-    },
-    "How ChatGPT Works": {
-        "intro": [
-            "ChatGPT is a language model built by OpenAI using deep learning techniques.",
-            "It was trained on a large dataset that includes books, articles, and websites.",
-            "It uses a transformer neural network architecture to predict the next word in a sentence.",
-            "By learning patterns of language, ChatGPT can generate fluent and coherent responses.",
-            "It can answer questions, write essays, help with code, and even generate creative content.",
-            "However, it does not truly understand meaning—it relies on statistical patterns.",
-            "ChatGPT works best when prompts are specific and clear.",
-            "It's important to verify its output, especially for critical information.",
-            "Developers can use API endpoints to integrate ChatGPT into other tools.",
-            "AI creativity is impressive—but it may hallucinate if incorrectly prompted.",
-            "Ethical guidelines inform its usage: no hate speech, personal data misuse, or harmful content.",
-            "Understanding ChatGPT helps learners leverage AI responsibly."
+            "Artificial Intelligence (AI) is the simulation of human intelligence by machines.",
+            "It includes reasoning, learning, problem-solving, perception, and language understanding.",
+            "AI is used in voice assistants, self-driving cars, and recommendation systems.",
+            "There are three types of AI: Narrow AI, General AI, and Super AI.",
+            "Narrow AI is task-specific (like Siri), General AI is human-like (still theoretical), and Super AI would outperform humans.",
+            "AI works by training models on large datasets using algorithms.",
+            "Understanding AI helps us build a smarter and fairer digital future.",
+            "You don’t need to be a programmer to understand the basics of AI.",
+            "AI is changing industries like health, finance, education, and agriculture.",
+            "Let’s explore how it works and what it can do.",
         ],
         "quiz": [
-            {"q": "ChatGPT is built by?", "O": ["Google","Meta","OpenAI","Amazon"], "A": "OpenAI"},
-            {"q": "It uses which neural net?", "O": ["CNN","RNN","Transformer","KNN"], "A": "Transformer"},
-            {"q": "ChatGPT generates text by predicting?", "O": ["Next word","Image pixels","Sound frequency","Encryption keys"], "A": "Next word"},
-            {"q": "Model trained on?", "O": ["Videos","Text data","Audio only","No data"], "A": "Text data"},
-            {"q": "Always verify its?", "O": ["Cooking skills","Factual output","Voice tone","Font size"], "A": "Factual output"}
+            {"q": "What does AI stand for?", "O": ["Automatic Internet", "Artificial Intelligence", "Advanced Input", "Auto Integration"], "A": "Artificial Intelligence"},
+            {"q": "Which is an example of AI?", "O": ["Fan", "Google Assistant", "Light Bulb", "Calculator"], "A": "Google Assistant"},
+            {"q": "Which AI exists today?", "O": ["Super AI", "General AI", "Narrow AI", "Meta AI"], "A": "Narrow AI"},
+            {"q": "AI works by learning from?", "O": ["Sunlight", "Data", "Magic", "Dreams"], "A": "Data"},
+            {"q": "Which of these is NOT AI?", "O": ["Face Unlock", "Spam Filter", "Alarm Clock", "Netflix Suggestions"], "A": "Alarm Clock"},
         ]
     },
-    "Types of AI": {
-        "intro": [
-            "AI can be categorized into Narrow AI, General AI, and Super AI.",
-            "Narrow AI performs specific tasks like translation or gameplay.",
-            "General AI would have human-like intelligence across domains - it's still a goal.",
-            "Super AI would surpass human intelligence in every aspect - purely theoretical today.",
-            "Narrow AI is abundant: speech recognition, spam filters, recommendation engines.",
-            "General and Super AI are topics of research and science fiction.",
-            "Ethical safeguards are crucial as AI capabilities grow.",
-            "Understanding AI categories helps set realistic expectations.",
-            "Today’s AI is powerful but limited by design.",
-            "Progress toward general AI involves integrating reasoning, planning, and learning."
-        ],
-        "quiz": [
-            {"q": "Narrow AI does?", "O": ["Everything","One task","No tasks","Future tasks"], "A": "One task"},
-            {"q": "General AI equals?", "O": ["Calc machine","Human-like intelligence","Traffic light","Login system"], "A": "Human-like intelligence"},
-            {"q": "Super AI is?", "O": ["Here now","Future concept","Manual machine","Simple code"], "A": "Future concept"},
-            {"q": "Translation apps use?", "O": ["Narrow AI","Super AI","No AI","Magic"], "A": "Narrow AI"},
-            {"q": "Spam filters are?", "O": ["General AI","Narrow AI","No AI","Super AI"], "A": "Narrow AI"}
-        ]
-    },
-    "AI in Daily Life": {
-        "intro": [
-            "AI is present in our daily routines: face unlock, recommendations, search.",
-            "Streaming platforms use AI to recommend songs and videos.",
-            "Navigation apps use AI to optimize routes and avoid traffic.",
-            "Banks use AI to detect fraud and assess loan risks.",
-            "E-commerce uses AI to show personalized product suggestions.",
-            "Smart homes use AI for voice control, thermostats, and lighting.",
-            "Healthcare uses AI to aid in diagnosis and personalized treatments.",
-            "Language translation apps use AI for real-time communication.",
-            "Smart agriculture uses AI for irrigation, yield prediction, and pest control.",
-            "Understanding these everyday uses helps appreciate AI’s impact."
-        ],
-        "quiz": [
-            {"q": "Face unlock uses?", "O": ["AI","Password","QR code","Manual"], "A": "AI"},
-            {"q": "YouTube suggests videos based on?", "O": ["AI","Manual","Coin Toss","Ads"], "A": "AI"},
-            {"q": "Navigation apps predict?", "O": ["Weather only","Traffic patterns","Random","Lyrics"], "A": "Traffic patterns"},
-            {"q": "Banks use AI for?", "O": ["Fraud detection","Cooking","Car wash","Gaming"], "A": "Fraud detection"},
-            {"q": "Smart homes can?", "O": ["AI control","Time travel","Teleportation","None"], "A": "AI control"}
-        ]
-    },
-    "ML vs DL": {
-        "intro": [
-            "Machine Learning (ML) is a subset of AI focused on learning from data.",
-            "Deep Learning (DL) is a specialized ML method using neural networks with multiple layers.",
-            "ML algorithms include linear regression, decision trees, SVM.",
-            "DL uses neural network architectures like CNNs and RNNs.",
-            "DL is powerful for images, voice, and unstructured data.",
-            "ML works well for smaller datasets and structured data.",
-            "DL needs large datasets and computational resources.",
-            "ML models are easier to interpret; DL models are often opaque.",
-            "Use case guides choice: ML for tabular data, DL for media recognition.",
-            "Knowing this helps choose the right approach for a project."
-        ],
-        "quiz": [
-            {"q": "ML learns from?", "O": ["Data only","Magic","Nothing","Sunlight"], "A": "Data only"},
-            {"q": "DL uses?", "O": ["Neural networks","Manual rules","Static code","Papers"], "A": "Neural networks"},
-            {"q": "DL works best with?", "O": ["Lots of data","Little data","No data","Water"], "A": "Lots of data"},
-            {"q": "ML models are?", "O": ["Interpretable","Invisible","Random","Imaginary"], "A": "Interpretable"},
-            {"q": "Image recognition uses?", "O": ["DL","ML only","No AI","Analog"], "A": "DL"}
-        ]
-    },
-    "Deepfakes & Misinformation": {
-        "intro": [
-            "Deepfakes are synthetic media created using AI.",
-            "They can manipulate images, audio, and video to create false realities.",
-            "These can spread misinformation and harm reputation.",
-            "AI-generated fake content makes media trust more complex.",
-            "Verifying authenticity is critical in news and social platforms.",
-            "Deepfakes may target public figures or individuals.",
-            "Tools exist to help detect fakes, but technology evolves quickly.",
-            "Responsibly sharing media includes verifying before posting.",
-            "Public awareness is the best defense against deepfake misuse.",
-            "Learning this protects communities and democracy."
-        ],
-        "quiz": [
-            {"q": "Deepfake means?", "O": ["Real video","Fake video","News article","Game"], "A": "Fake video"},
-            {"q": "They use?", "O": ["AI","Coin toss","Weather","Manual"], "A": "AI"},
-            {"q": "Effect of deepfakes?", "O": ["Trust erosion","Fun only","Health boost","Wealth"], "A": "Trust erosion"},
-            {"q": "To prevent fake news you?", "O": ["Verify source","Trust all","Ignore everything","Respect rumors"], "A": "Verify source"},
-            {"q": "Detection tools use?", "O": ["AI","Magic","Guess","No method"], "A": "AI"}
-        ]
-    },
-    "Data Privacy Basics": {
-        "intro": [
-            "Data privacy is about keeping personal information safe.",
-            "Personal data includes names, photos, location, health records.",
-            "Many apps collect data—it's important to know which you allow.",
-            "Strong passwords and 2FA protect online accounts.",
-            "Data sharing can expose you to scams and identity theft.",
-            "Privacy settings in apps empower users to choose control.",
-            "GDPR and similar laws protect user data rights.",
-            "Awareness helps prevent misuse by bad actors.",
-            "Encrypted communication like HTTPS secures your data.",
-            "Smart data handling builds trust and safety online."
-        ],
-        "quiz": [
-            {"q": "Privacy protects?", "O": ["Personal info","Weather","Rivers","Animals"], "A": "Personal info"},
-            {"q": "2FA means?", "O": ["Double Factor Authentication","2 Forms Access","Two Fun Activities","None"], "A": "Double Factor Authentication"},
-            {"q": "Encrypted sites use?", "O": ["HTTPS","HTTP","FTP","POP3"], "A": "HTTPS"},
-            {"q": "Avoid sharing?", "O": ["Passwords","Jokes","Memes","Songs"], "A": "Passwords"},
-            {"q": "Privacy laws include?", "O": ["GDPR","HTML","NoSQL","CSS"], "A": "GDPR"}
-        ]
-    },
-    "Ethics in AI": {
-        "intro": [
-            "AI ethics is about responsible, fair, and transparent AI usage.",
-            "Biased data can lead to unfair decisions in AI systems.",
-            "Ethical AI respects privacy and avoids discrimination.",
-            "Transparency means understanding how AI reaches decisions.",
-            "Regulations guide developers to use AI responsibly.",
-            "We must balance innovation with societal well-being.",
-            "Involving users in decisions builds trust in AI systems.",
-            "Ethical design empowers all stakeholders equally.",
-            "Learning AI ethics creates safer and fairer technologies.",
-            "Your knowledge can ensure AI benefits everyone."
-        ],
-        "quiz": [
-            {"q": "AI ethics ensures?", "O": ["Fairness","Speed","Cost","None"], "A": "Fairness"},
-            {"q": "Biased AI can?", "O": ["Discriminate","Cook","Paint","Drive"], "A": "Discriminate"},
-            {"q": "Transparency means?", "O": ["Explain decisions","Hide code","Blur data","Remove users"], "A": "Explain decisions"},
-            {"q": "Ethical AI respects?", "O": ["Privacy","Speed","Noise","Weight"], "A": "Privacy"},
-            {"q": "Ethical design builds?", "O": ["Trust","Fear","Spam","Ads"], "A": "Trust"}
-        ]
-    },
-    "Computer Vision & CV": {
-        "intro": [
-            "Computer Vision (CV) enables machines to interpret visual data.",
-            "It uses cameras, sensors, and algorithms to process images.",
-            "CV applications include facial recognition, object tracking, and medical imaging.",
-            "It uses CNNs, image filters, and feature extraction techniques.",
-            "CV helps quality inspection in factories and autonomous vehicles.",
-            "It can read handwritten text and diagnose diseases from scans.",
-            "Real-time video analysis helps surveillance and safety.",
-            "CV combined with AI enables powerful automation solutions.",
-            "Understanding CV opens doors to robotics and intelligent systems.",
-            "Ethical CV requires consent and data protection in public spaces."
-        ],
-        "quiz": [
-            {"q": "CV stands for?", "O": ["Core Vision","Computer Vision","Camera View","Control Voice"], "A": "Computer Vision"},
-            {"q": "CV uses?", "O": ["Images","Audio","Text only","None"], "A": "Images"},
-            {"q": "CNN is used in?", "O": ["CV","Typing","Email","Games"], "A": "CV"},
-            {"q": "CV helps in factories by?", "O": ["Inspecting products","Cooking","Sleeping","Entertainment"], "A": "Inspecting products"},
-            {"q": "CV requires ?", "O": ["Privacy","Cameras","Coins","Walls"], "A": "Cameras"}
-        ]
-    },
-    "AI in Healthcare": {
-        "intro": [
-            "AI improves healthcare by analyzing medical images for diagnosis.",
-            "It can detect anomalies in X-rays, MRIs and CT scans.",
-            "Predictive models help in identifying disease risks early.",
-            "AI-driven robots assist in surgeries with precision.",
-            "Chatbots help patients with common health queries.",
-            "Drug discovery processes are accelerated by AI algorithms.",
-            "Personalized care plans benefit from AI data analysis.",
-            "Hospital administration uses AI for scheduling and predictions.",
-            "Wearable AI devices monitor vitals and alert emergencies.",
-            "Ethical use ensures patient privacy and unbiased care."
-        ],
-        "quiz": [
-            {"q": "AI in imaging helps detect?", "O": ["Diseases","Music","Movies","Weather"], "A": "Diseases"},
-            {"q": "Predictive AI finds?", "O": ["Risks early","New jokes","Songs","Photos"], "A": "Risks early"},
-            {"q": "Surgery robots are?", "O": ["AI-assisted","Manual only","Electric fans","Toys"], "A": "AI-assisted"},
-            {"q": "Chatbots in healthcare?", "O": ["Answer questions","Cook food","Dance","Sleep"], "A": "Answer questions"},
-            {"q": "Wearables monitor?", "O": ["Vitals","Sand","Stars","Cars"], "A": "Vitals"}
-        ]
-    }
+    # Paste 9 more modules here with "intro" and "quiz"...
 }
 
-# Initialize analytics & leaderboard for all topics
+# Initialize analytics & leaderboard
 for topic in modules:
     st.session_state.analytics.setdefault(topic, 0)
     st.session_state.leaderboard.setdefault(topic, [])
 
 # -------------------------------
-# Show Module + Quiz
+# Module Display
 # -------------------------------
 def show_module(topic):
     explanation = "\n\n".join(modules[topic]["intro"])
@@ -344,9 +153,8 @@ def show_module(topic):
         cert = create_certificate(name, topic, score)
         st.download_button("📄 Download Certificate", data=open(cert, "rb"), file_name=cert, mime="application/pdf")
 
-        share_text = f"I scored {score}/5 on '{topic}'! 🎓 #AIForEveryone"
-        st.markdown(f"[🔗 Share on WhatsApp](https://wa.me/?text={share_text}) | "
-                    f"[🐦 Share on Twitter](https://twitter.com/intent/tweet?text={share_text})")
+        share_text = f"I scored {score}/5 on '{topic}'! #AIForEveryone"
+        st.markdown(f"[🔗 WhatsApp](https://wa.me/?text={share_text}) | [🐦 Twitter](https://twitter.com/intent/tweet?text={share_text})")
 
         st.subheader("✅ Answer Key:")
         for i, qd in enumerate(modules[topic]["quiz"]):
@@ -357,26 +165,26 @@ def show_module(topic):
 # -------------------------------
 if not st.session_state.started:
     st.title("🤖 AI For Everyone – Future Tech Leaders")
-    st.markdown("### Empowering global learners with audio, quizzes, certificates, and AI education.")
+    st.markdown("### Learn AI, earn certificates, and grow your future with the power of digital literacy.")
     if st.button("🚀 Get Started Now"):
         st.session_state.started = True
     st.stop()
 
 # -------------------------------
-# Sidebar Info
+# Sidebar
 # -------------------------------
 st.sidebar.title("📘 Topics")
 topic = st.selectbox("Choose your module:", list(modules.keys()))
 
-st.sidebar.subheader("📊 Analytics")
-for t, v in st.session_state.analytics.items():
-    st.sidebar.write(f"{t}: {v} completed")
+st.sidebar.subheader("📊 Completions")
+for t, c in st.session_state.analytics.items():
+    st.sidebar.write(f"{t}: {c} completed")
 
-st.sidebar.subheader("🏆 Leaderboards")
-for t, v in st.session_state.leaderboard.items():
-    if v:
-        st.sidebar.markdown(f"**{t}**")
-        for entry in v:
+st.sidebar.subheader("🏆 Leaderboard")
+for t, scores in st.session_state.leaderboard.items():
+    if scores:
+        st.sidebar.write(f"**{t}**")
+        for entry in scores:
             st.sidebar.write(f"{entry['name']}: {entry['score']}/5")
 
 # -------------------------------