Update app.py

app.py

@@ -51,8 +51,6 @@ class LocalAgent:
     def __init__(self):
         print("Initializing agent with smolagents...")
         self.tools = [CalculatorTool(), TimeTool()]
-        
-        # Using a free Hugging Face model
         self.agent = ToolCallingAgent(
             tools=self.tools,
             model=InferenceClientModel(
@@ -60,20 +58,20 @@ class LocalAgent:
                 api_base="https://api-inference.huggingface.co/models"
             )
         )
-        
+
     def __call__(self, question: str) -> str:
         print(f"Processing: {question[:100]}...")
         question_lower = question.lower()
-        
+
         # Direct tool usage for simple queries
         if any(word in question_lower for word in ["calculate", "what is", "how much is", "+", "-", "*", "/"]):
             result = CalculatorTool().use(question.replace("?", ""))
             return result["result"]
-        
+
         if any(word in question_lower for word in ["time", "current time"]):
             result = TimeTool().use()
             return result["time"]
-        
+
         # Use full agent for complex questions
         try:
             response = self.agent.run(question)
@@ -86,53 +84,53 @@ class LocalAgent:
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     if not profile:
         return "Please login first", None
-    
+
     space_id = os.getenv("SPACE_ID", "local-test")
     api_url = os.getenv("API_URL", DEFAULT_API_URL)
-    
+
     try:
         agent = LocalAgent()
         response = requests.get(f"{api_url}/questions", timeout=15)
         response.raise_for_status()
         questions = response.json()
-        
+
         results = []
         answers = []
         for q in questions:
             try:
                 answer = agent(q["question"])
                 answers.append({
-                    "task_id": q["task_id"], 
+                    "task_id": q["task_id"],
                     "submitted_answer": answer
                 })
                 results.append({
-                    "Task ID": q["task_id"], 
-                    "Question": q["question"], 
+                    "Task ID": q["task_id"],
+                    "Question": q["question"],
                     "Answer": answer
                 })
             except Exception as e:
                 results.append({
-                    "Task ID": q["task_id"], 
-                    "Question": q["question"], 
+                    "Task ID": q["task_id"],
+                    "Question": q["question"],
                     "Answer": f"Error: {e}"
                 })
-        
+
         submission = {
             "username": profile.username,
             "agent_code": f"https://huggingface.co/spaces/{space_id}",
             "answers": answers
         }
-        
+
         response = requests.post(f"{api_url}/submit", json=submission, timeout=60)
         response.raise_for_status()
         result = response.json()
-        
+
         return (
             f"Success! Score: {result.get('score', 'N/A')}%\n"
             f"Correct: {result.get('correct_count', '?')}/{result.get('total_attempted', '?')}",
             pd.DataFrame(results)
         )
-        
+
     except Exception as e:
         return f"Evaluation failed: {str(e)}", pd.DataFrame(results if 'results' in locals() else [])
 
@@ -142,16 +140,17 @@ with gr.Blocks(title="Agent Evaluation Runner") as app:
     ## Advanced Agent Evaluation
     Uses smolagents with proper tool schemas
     """)
-    
+
     gr.LoginButton()
     run_btn = gr.Button("Run Evaluation")
     output = gr.Textbox(label="Results")
     results_table = gr.DataFrame(label="Question Log")
-    
+
     run_btn.click(
         fn=run_and_submit_all,
+        inputs=[],  # <-- This line is the required fix
         outputs=[output, results_table]
     )
 
 if __name__ == "__main__":
-    app.launch()
+    app.launch()