feat: add conditional logic to switch between local ChatOllama and remote HuggingFaceEndpoint models

app.py

@@ -32,15 +32,17 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-# llm = HuggingFaceEndpoint(
-#     repo_id = "Qwen/Qwen2.5-Coder-32B-Instruct",
-#     huggingfacehub_api_token=os.environ.get("HUGGINGFACEHUB_API_TOKEN")
-# )
-
-llm = ChatOllama(
-    model="gemma4:31b", 
-    temperature=0,
-)
+if IS_LOCAL:
+    llm = ChatOllama(
+        model="gemma4:31b", 
+        temperature=0,
+    )
+else:
+    # When on Hugging Face, use a remote endpoint
+    llm = HuggingFaceEndpoint(
+        repo_id = "Qwen/Qwen2.5-Coder-32B-Instruct",
+        huggingfacehub_api_token=os.environ.get("HUGGINGFACEHUB_API_TOKEN")
+    )
 
 system_prompt = """You are an AI assistant taking the GAIA benchmark. You must output ONLY the final answer. Do not include any explanations, conversational text or formatting. If the answer is a number, output just the number. If it is a list, output a comma-separated list."""