Update app.py

app.py

@@ -2,22 +2,16 @@ import os
 import gradio as gr
 from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel
 
-# 1. Setup the Model
-# model = InferenceClientModel(
-#     model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
-#     token=os.getenv("HF_TOKEN")
-# )
-# Change the model initialization to this:
+# 1. Setup the Model (7B is the best choice to bypass payment/not found errors)
 model = InferenceClientModel(
-    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
-    token=os.getenv("HF_TOKEN"),
-    # This provider line is the key to bypassing nscale
-    provider="hf-inference" 
+    model_id="Qwen/Qwen2.5-7B-Instruct",
+    token=os.getenv("HF_TOKEN")
 )
+
 # 2. Setup the Tools
 search_tool = DuckDuckGoSearchTool()
 
-# 3. Create the Agent with STRICT GAIA instructions
+# 3. Create the Agent
 agent = CodeAgent(
     tools=[search_tool],
     model=model,
@@ -29,9 +23,7 @@ agent = CodeAgent(
 
 def handle_query(query, history=None):
     try:
-        # Run agent
         raw_result = agent.run(query)
-        # Clean the result for the grader
         result = str(raw_result).strip()
         if "FINAL ANSWER:" in result:
             result = result.split("FINAL ANSWER:")[-1].strip()