Add model listing and try more compatible model names for v1beta API

backend/app.py

@@ -74,6 +74,16 @@ class SPAStaticFiles(StaticFiles):
 @app.get("/health")
 async def health_check():
     """Health check endpoint"""
+    available_models = []
+    if GEMINI_AVAILABLE and GEMINI_API_KEY:
+        try:
+            # List available Gemini models
+            for model in genai.list_models():
+                if 'generateContent' in model.supported_generation_methods:
+                    available_models.append(model.name)
+        except Exception as e:
+            print(f"⚠️ Could not list models: {e}")
+    
     return {
         "status": "healthy", 
         "service": "Pathora Colposcopy API",
@@ -83,7 +93,8 @@ async def health_check():
         },
         "llm": {
             "gemini_available": GEMINI_AVAILABLE,
-            "api_key_configured": bool(GEMINI_API_KEY)
+            "api_key_configured": bool(GEMINI_API_KEY),
+            "available_models": available_models
         }
     }
 
@@ -119,8 +130,13 @@ Be professional, evidence-based, and concise."""
         
         # Try different model names for compatibility
         model_names = [
-            "gemini-1.5-flash",
-            "gemini-1.5-flash-latest", 
+            "models/gemini-1.5-pro-latest",
+            "models/gemini-1.5-pro",
+            "models/gemini-1.0-pro-latest",
+            "models/gemini-1.0-pro",
+            "models/gemini-pro",
+            "gemini-1.5-pro-latest",
+            "gemini-1.5-pro",
             "gemini-pro",
         ]
         
@@ -200,20 +216,13 @@ async def generate_report_endpoint(request: ReportGenerationRequest):
             detail="Gemini AI is not available. Install google-generativeai package."
         )
     
-    # Re-fetch API key on each request (for HF Spaces)
-    api_key = os.getenv("GEMINI_API_KEY") or os.getenv("VITE_GEMINI_API_KEY")
-    
-    if not api_key:
+    if not GEMINI_API_KEY:
         raise HTTPException(
             status_code=503,
-            detail="GEMINI_API_KEY not configured. Please add it to HF Space secrets or .env file."
+            detail="GEMINI_API_KEY not configured in environment variables"
         )
     
     try:
-        # Reconfigure Gemini with fresh API key
-        genai.configure(api_key=api_key)
-        print(f"✅ Gemini configured for report generation with key: {api_key[:10]}...")
-        
         # Use system prompt or default
         system_prompt = request.system_prompt or """You are an expert colposcopy AI assistant acting as a specialist gynaecologist.
 Analyse ALL the clinical data and the attached colposcopy images to generate a professional, evidence-based colposcopy report conclusion."""
@@ -239,10 +248,14 @@ Analyse ALL the clinical data and the attached colposcopy images to generate a p
         
         # Try different model names for compatibility
         model_names = [
-            "gemini-1.5-flash",
-            "gemini-1.5-flash-latest",
+            "models/gemini-1.5-pro-latest",
+            "models/gemini-1.5-pro",
+            "models/gemini-1.0-pro-latest",
+            "models/gemini-1.0-pro",
+            "models/gemini-pro",
+            "gemini-1.5-pro-latest",
+            "gemini-1.5-pro",
             "gemini-pro",
-            "models/gemini-1.5-flash",
         ]
         
         response_text = None