Upload app.py with huggingface_hub

app.py

@@ -38,14 +38,15 @@ GLOBAL_REGIONS = [
 # HuggingFace Token for all providers
 HF_TOKEN = os.getenv('HF_TOKEN', '')
 
-# Initialize InferenceClient instances for DeepSeek models
+# Initialize InferenceClient instances for DeepSeek models using new router endpoint
 inference_clients = []
 if HF_TOKEN:
     try:
-        # Primary DeepSeek-V3.2-Exp client
+        # Primary DeepSeek-V3.2-Exp client with new router endpoint
         primary_client = InferenceClient(
             model="deepseek-ai/DeepSeek-V3.2-Exp",
-            token=HF_TOKEN
+            token=HF_TOKEN,
+            base_url="https://router.huggingface.co/v1"
         )
         inference_clients.append({
             "name": "deepseek-v3.2-exp",
@@ -53,10 +54,11 @@ if HF_TOKEN:
             "model": "deepseek-ai/DeepSeek-V3.2-Exp"
         })
         
-        # Secondary DeepSeek-V3-Base client
+        # Secondary DeepSeek-V3-Base client with new router endpoint
         secondary_client = InferenceClient(
             model="deepseek-ai/DeepSeek-V3-Base", 
-            token=HF_TOKEN
+            token=HF_TOKEN,
+            base_url="https://router.huggingface.co/v1"
         )
         inference_clients.append({
             "name": "deepseek-v3-base",
@@ -64,10 +66,11 @@ if HF_TOKEN:
             "model": "deepseek-ai/DeepSeek-V3-Base"
         })
         
-        # Fallback client (same as primary)
+        # Fallback client (same as primary) with new router endpoint
         fallback_client = InferenceClient(
             model="deepseek-ai/DeepSeek-V3.2-Exp",
-            token=HF_TOKEN
+            token=HF_TOKEN,
+            base_url="https://router.huggingface.co/v1"
         )
         inference_clients.append({
             "name": "deepseek-fallback",
@@ -586,8 +589,9 @@ def initialize_system():
     """Initialize AEGIS system with DeepSeek-V3.2-Exp via HuggingFace InferenceClient"""
     global loading_status
     
-    print("🚀 AEGIS BIO LAB 10 CONDUCTOR initializing with DeepSeek-V3.2-Exp via HuggingFace InferenceClient...")
+    print("🚀 AEGIS BIO LAB 10 CONDUCTOR initializing with DeepSeek-V3.2-Exp via HuggingFace Router...")
     print(f"🤗 Model: {MODEL_NAME}")
+    print(f"🔗 Endpoint: https://router.huggingface.co/v1")
     
     if inference_clients:
         client_list = ', '.join([f"{c['name']} ({c['model']})" for c in inference_clients])
@@ -599,7 +603,7 @@ def initialize_system():
     print(f"🌍 Global analysis across {len(GLOBAL_REGIONS)} regions")
     print(f"🔑 Using HuggingFace Token: {'✅ Valid' if HF_TOKEN and len(HF_TOKEN) > 10 else '❌ Missing'}")
     
-    loading_status = f"AEGIS BIO LAB {AEGIS_VERSION} CONDUCTOR ready with DeepSeek-V3.2-Exp via HuggingFace InferenceClient"
+    loading_status = f"AEGIS BIO LAB {AEGIS_VERSION} CONDUCTOR ready with DeepSeek-V3.2-Exp via HuggingFace Router"
     print("✅ AEGIS BIO LAB 10 CONDUCTOR ready!")
 
 if __name__ == '__main__':