Update app.py

app.py

@@ -70,14 +70,119 @@ def analyze_sentiment(text):
     return probabilities.cpu().numpy()[0]
 
 def generate_website_content():
-    # Generate website title
-    title = generate_text("A unique website title:").split(':')[1].strip()
+    # Generate a random topic
+    topics = [
+    "space exploration", 
+    "artificial intelligence", 
+    "environmental conservation", 
+    "quantum computing", 
+    "renewable energy",
+    "climate change",
+    "biotechnology",
+    "nanotechnology",
+    "cybersecurity",
+    "robotics",
+    "virtual reality and augmented reality",
+    "autonomous vehicles",
+    "genetic engineering",
+    "3D printing and additive manufacturing",
+    "internet of things (IoT)",
+    "blockchain technology",
+    "sustainable agriculture",
+    "smart cities",
+    "digital health and telemedicine",
+    "renewable energy storage solutions",
+    "advanced materials science",
+    "space tourism",
+    "machine learning and data science",
+    "oceanography and marine conservation",
+    "AI ethics and governance",
+    "futuristic urban planning",
+    "exoplanet discovery and research",
+    "space colonization",
+    "artificial general intelligence (AGI)",
+    "human-computer interaction",
+    "sustainable architecture",
+    "nuclear fusion research",
+    "environmental impact of technology",
+    "astrobiology",
+    "bioinformatics",
+    "synthetic biology",
+    "renewable energy grid integration",
+    "environmental policy and legislation",
+    "human augmentation and enhancement",
+    "climate engineering (geoengineering)",
+    "space mining",
+    "high-performance computing (HPC)",
+    "sustainable transportation",
+    "energy harvesting technologies",
+    "cognitive computing",
+    "deep learning and neural networks",
+    "zero-waste living",
+    "astrophysics and cosmology",
+    "environmental education and awareness",
+    "sustainable water management",
+    "green technology innovation",
+    "impact of AI on employment",
+    "ethical hacking",
+    "space weather and its impacts",
+    "personalized medicine",
+    "advanced prosthetics and bionics",
+    "circular economy",
+    "environmental justice",
+    "human-robot collaboration",
+    "artificial intelligence in art and creativity",
+    "space telescopes and observatories",
+    "AI in climate modeling",
+    "renewable energy microgrids",
+    "sustainable fashion",
+    "quantum cryptography",
+    "asteroid deflection strategies",
+    "energy-efficient computing",
+    "wildlife conservation and habitat preservation",
+    "genomic editing and CRISPR",
+    "big data analytics",
+    "ethics in genetic engineering",
+    "sustainable fisheries and aquaculture",
+    "urban resilience to climate change",
+    "AI in healthcare diagnostics",
+    "space debris management",
+    "eco-friendly packaging solutions",
+    "AI in financial markets",
+    "conservation technology",
+    "interplanetary communication systems",
+    "green building certifications (e.g., LEED)",
+    "AI-powered drug discovery",
+    "sustainable mining practices",
+    "remote sensing for environmental monitoring",
+    "space-based solar power",
+    "conservation of endangered species",
+    "AI in supply chain optimization",
+    "sustainable product design",
+    "space habitat design",
+    "regenerative agriculture",
+    "quantum teleportation",
+    "sustainable tourism",
+    "AI-driven autonomous systems",
+    "carbon capture and storage (CCS)",
+    "resilient infrastructure development",
+    "planetary defense initiatives",
+    "sustainable energy policies",
+    "AI in language translation",
+    "space medicine",
+    "sustainable waste management",
+    "advanced robotics in manufacturing"
+    ]
+    topic = random.choice(topics)
+
+    # Generate website title based on the topic
+    title = generate_text(f"A unique website title about {topic}:").split(':')[-1].strip()
     
-    # Generate main content
-    content = generate_text("A short paragraph about a random topic:").split(':')[1].strip()
+    # Generate main content based on the topic
+    content = generate_text(f"A short paragraph about {topic}:").split(':')[-1].strip()
     
-    # Generate an image
-    image = generate_image("An abstract representation of " + title)
+    # Generate an image based on the topic
+    image = generate_image(f"An artistic representation of {topic}")
     
     # Analyze sentiment of the content
     sentiment = analyze_sentiment(content)
@@ -91,7 +196,6 @@ def generate_website_content():
     layout = random.choice(layouts)
     
     return title, content, image, sentiment_label, color, layout
-
 def update_website():
     title, content, image, sentiment, color, layout = generate_website_content()