Update app.py

app.py

@@ -12,6 +12,28 @@ import traceback
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 print("Token loaded:", bool(os.getenv("chatbotagenthf")))
+from huggingface_hub import InferenceClient, HfApi
+api_key=os.getenv("chatbotagenthf")
+api = HfApi()
+client = InferenceClient(token=api_key)
+
+# Example list of chat/instruction models to test
+models_to_test = [
+    "meta-llama/Llama-3.1-8B-Instruct",
+    "mistralai/Mistral-7B-Instruct-v0.3",
+    "HuggingFaceH4/zephyr-7b-beta",
+    "google/gemma-2b-it",
+    "tiiuae/falcon-7b-instruct"
+]
+
+for model_id in models_to_test:
+    try:
+        print(f"🔎 Testing {model_id}...")
+        client.text_generation("Hello!", model=model_id, max_new_tokens=10)
+        print(f"✅ Accessible: {model_id}\n")
+    except Exception as e:
+        print(f"❌ Not accessible: {model_id} -> {e}\n")
+
 custom_prompt = """
 You are an intelligent AI agent participating in the GALA (Generative Agent Learning Assignment).
 Your goal is to answer each question accurately, concisely, and factually.
@@ -55,7 +77,7 @@ class BasicAgent:
     def __init__(self):
         try:
             api_key=os.getenv("chatbotagenthf")
-            model =InferenceClientModel(model_id="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free", provider="together",token=api_key)
+            model =InferenceClientModel(model_id="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",token=api_key)
 
             self.agent = ToolCallingAgent(
                 tools=[DuckDuckGoSearchTool()],