Update app.py

app.py

@@ -48,13 +48,16 @@ class HuggingFaceAIManager:
         self.is_multimodal = False
         
         # Real Gemma 3 models - prioritizing the actual Gemma 3 with multimodal capabilities
+        # Note: These require authentication, fallbacks included for public access
         self.model_options = [
-            "google/gemma-3-4b-it",          # Primary: Real Gemma 3 multimodal
-            "google/gemma-3-2b-it",          # Alternative Gemma 3 
-            "google/gemma-3-1b-pt",          # Gemma 3 text-only
-            "google/gemma-2-2b-it",          # Fallback to Gemma 2
-            "microsoft/DialoGPT-medium",     # Non-Gemma fallback 1
+            "google/gemma-2-2b-it",          # Primary: Gemma 2 (publicly available)
+            "microsoft/DialoGPT-medium",     # Reliable fallback 1
             "distilgpt2",                    # Fallback 2
+            "gpt2",                          # Final fallback
+            # Commented out until authentication is available:
+            # "google/gemma-3-4b-it",          # Real Gemma 3 multimodal (requires auth)
+            # "google/gemma-3-2b-it",          # Alternative Gemma 3 (requires auth)
+            # "google/gemma-3-1b-pt",          # Gemma 3 text-only (requires auth)
         ]
         
     def load_model(self):
@@ -74,7 +77,11 @@ class HuggingFaceAIManager:
                 # Special handling for real Gemma 3 models
                 if "gemma-3" in model_name:
                     try:
-                        # Real Gemma 3 multimodal loading
+                        print(f"⚠️ Gemma 3 requires authentication - skipping {model_name}")
+                        print("💡 To use Gemma 3, add your HF token to the Space secrets")
+                        continue
+                        
+                        # Real Gemma 3 multimodal loading (requires authentication)
                         if "4b-it" in model_name or "2b-it" in model_name:
                             print(f"🧠 Loading Real Gemma 3 Multimodal: {model_name}")
                             from transformers import Gemma3ForConditionalGeneration, AutoProcessor
@@ -198,14 +205,21 @@ class HuggingFaceAIManager:
                 # Fallback to Gemma 2 or other models
                 elif "gemma-2" in model_name:
                     print(f"🔄 Trying Gemma 2 fallback: {model_name}")
-                    self.pipeline = pipeline(
-                        "text-generation",
-                        model=model_name,
-                        device_map="auto" if torch.cuda.is_available() else None,
-                        torch_dtype=torch.bfloat16 if torch.cuda.is_available() else torch.float32,
-                        trust_remote_code=True
-                    )
-                    self.is_multimodal = False
+                    try:
+                        self.pipeline = pipeline(
+                            "text-generation",
+                            model=model_name,
+                            device_map="auto" if torch.cuda.is_available() else None,
+                            torch_dtype=torch.bfloat16 if torch.cuda.is_available() else torch.float32,
+                            trust_remote_code=True
+                        )
+                        self.is_multimodal = False
+                        print(f"✅ Gemma 2 loaded successfully: {model_name}")
+                        
+                    except Exception as gemma2_error:
+                        print(f"⚠️ Gemma 2 loading failed: {gemma2_error}")
+                        print("💡 Gemma 2 also requires authentication - using open models")
+                        continue
                     
                 else:
                     # Standard loading for non-Gemma models
@@ -236,7 +250,8 @@ class HuggingFaceAIManager:
                 continue
         
         print("❌ No models could be loaded, using template fallback mode")
-        print("💡 Note: Real Gemma 3 models may require authentication or special access")
+        print("💡 Note: Gemma models require authentication. Add HF token to Space secrets for access.")
+        print("🔄 Using intelligent template system for educational adaptation")
         return False
     
     def generate_text(self, prompt, max_new_tokens=80, task_complexity="medium", image=None):
@@ -1823,17 +1838,19 @@ This content has been adapted for your learning style.
         
         gr.Markdown("""
         # 🎓 AdaptLearn Enhanced - Next-Generation Adaptive Education
-        ### Hugging Face Spaces Edition - Powered by Real Gemma 3 AI
+        ### Hugging Face Spaces Edition - AI-Powered Learning System
         
-        **🚀 REAL GEMMA 3 REVOLUTIONARY FEATURES:**
-        • 🧠 **Real Gemma 3 Multimodal AI** - Vision + Language understanding with 128K context  
-        • 🎤 **Advanced Audio Analysis** - Real-time emotion and engagement detection  
-        • 👁️ **Computer Vision Integration** - Pan & scan image processing with AI analysis  
+        **🚀 INTELLIGENT AI FEATURES:**
+        • 🧠 **Advanced AI Engine** - DialoGPT and fallback models for reliable content generation  
+        • 🎤 **Smart Audio Analysis** - Real-time emotion and engagement detection  
+        • 👁️ **Computer Vision Integration** - Visual attention and engagement monitoring  
         • 📊 **Intelligent Learning Analytics** - AI-powered progress optimization  
-        • 🏆 **Adaptive Gamification** - Personalized motivation with multimodal feedback  
-        • 🔄 **Sliding Window Attention** - Advanced context processing for better understanding  
-        • 🌐 **24/7 Cloud Access** - Real Gemma 3 power available anywhere, anytime  
-        • 📱 **Universal Compatibility** - Full multimodal experience on all devices
+        • 🏆 **Adaptive Gamification** - Personalized motivation with AI feedback  
+        • 🔄 **Robust Fallback Systems** - Guaranteed functionality with intelligent templates  
+        • 🌐 **24/7 Cloud Access** - Reliable AI power available anywhere, anytime  
+        • 📱 **Universal Compatibility** - Full experience on all devices
+        
+        **💡 Gemma Access:** To unlock Real Gemma 3 capabilities, add your Hugging Face token to Space secrets
         """, elem_classes=["highlight-box"])
         
         with gr.Row():
@@ -1880,14 +1897,12 @@ This content has been adapted for your learning style.
                 with gr.Row():
                     audio_input = gr.Audio(
                         label="🎤 Voice Recording (Optional)",
-                        type="filepath",
-                        info="Record your voice for emotion analysis"
+                        type="filepath"
                     )
                     
                     image_input = gr.Image(
                         label="📷 Photo for Real Gemma 3 Multimodal Analysis",
-                        type="numpy",
-                        info="Upload a photo for advanced multimodal AI analysis with Real Gemma 3"
+                        type="numpy"
                     )
                 
                 process_btn = gr.Button(
@@ -1908,10 +1923,9 @@ This content has been adapted for your learning style.
                 gr.Markdown("### ✨ **PERSONALIZED LEARNING EXPERIENCE**")
                 
                 adapted_content = gr.Textbox(
-                    label="📖 Your Real Gemma 3 Personalized Content",
+                    label="📖 Your AI Personalized Content",
                     lines=10,
-                    interactive=False,
-                    info="Content intelligently adapted by Real Gemma 3 AI with multimodal capabilities"
+                    interactive=False
                 )
                 
                 with gr.Tabs():
@@ -2112,13 +2126,10 @@ def main():
     print("")
     
     try:
-        print("🎨 Creating Real Gemma 3 multimodal enhanced interface...")
+        print("🎨 Creating Hugging Face Spaces interface...")
         demo = create_hugging_face_interface()
         
-        print("🌐 Launching AdaptLearn Enhanced with Real Gemma 3 on Hugging Face Spaces...")
-        
-        # Check final AI status before launch
-        print("🔍 Final Real Gemma 3 system check complete - launching interface...")
+        print("🌐 Launching AdaptLearn Enhanced on Hugging Face Spaces...")
         
         # Launch with Hugging Face Spaces compatible settings
         demo.launch(
@@ -2135,7 +2146,10 @@ def main():
         
         # Fallback launch
         try:
-            demo.launch()
+            if 'demo' in locals():
+                demo.launch()
+            else:
+                print("❌ Demo not created - check interface creation")
         except Exception as e2:
             print(f"❌ Fallback launch failed: {e2}")