Upload folder using huggingface_hub

deploy_hf.py

@@ -42,7 +42,7 @@ def deploy_to_space(space_name: str):
         print("Uploading files to Hub...")
         
         # Don't upload the cache or local virtual environments
-        ignore_patterns = ["__pycache__/*", "*.git*", ".env", "venv/*"]
+        ignore_patterns = ["__pycache__/*", "*.git*", ".env", "venv/*", ".venv/*", "*.egg-info/*", "uv.lock"]
         
         url = api.upload_folder(
             folder_path=".",

inference.py

@@ -8,7 +8,7 @@ from server.models import AuditAction
 API_BASE_URL = os.getenv("API_BASE_URL", "https://openrouter.ai/api/v1")
 MODEL_NAME   = os.getenv("MODEL_NAME", "stepfun/step-3.5-flash:free")
 HF_TOKEN     = os.getenv("HF_TOKEN")
-OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "EMPTY")
 ENV_URL      = os.getenv("ENV_URL", "https://armaan020-aegisopenenv.hf.space")
 
 client = OpenAI(

sample_inference_official.py

@@ -21,7 +21,7 @@ MAX_STEPS = 10
 
 def main():
     # Configure for OpenRouter
-    api_key = os.getenv("OPENAI_API_KEY")
+    api_key = os.getenv("OPENAI_API_KEY", "EMPTY")
     base_url = os.getenv("API_BASE_URL", "https://openrouter.ai/api/v1")
     
     client = OpenAI(