fixes for gaia submission

app.py

@@ -2,35 +2,20 @@ import os
 import gradio as gr
 import requests
 import pandas as pd
-from langchain.agents import create_agent
-from langchain_google_genai import ChatGoogleGenerativeAI
-# Agent implementation is moved to gaia_agent.py
 from gaia_agent import GAIAAgent
 from dotenv import load_dotenv
 
 # Load environment variables
-#load_dotenv()
+# load_dotenv()
 
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Agent Setup ---
-openai_key = os.getenv("OPENAI_API_KEY")
-googleai_key = os.getenv("GOOGLE_API_KEY")
-
-# Use OpenRouter via LangChain's ChatOpenAI
 openrouter_key = os.getenv("OPENROUTER_API_KEY")
 if not openrouter_key:
     raise RuntimeError("Set OPENROUTER_API_KEY in your .env (OpenRouter API key)")
 
-# model is created inside gaia_agent module
-# (gaia_agent.py will initialize the ChatOpenAI model using OPENROUTER_API_KEY)
-
-
-
-# The tools and GAIAAgent implementation live in gaia_agent.py now. This file
-# imports GAIAAgent and uses it in run_and_submit_all.
-
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the GAIAAgent on them, submits all answers,
@@ -38,18 +23,18 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     # --- Determine HF Space Runtime URL and Repo URL ---
     space_id = os.getenv("SPACE_ID")  # Get the SPACE_ID for sending link to the code
-
+    
     if profile:
         username = f"{profile.username}"
         print(f"User logged in: {username}")
     else:
         print("User not logged in.")
         return "Please Login to Hugging Face with the button.", None
-
+    
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
-
+    
     # 1. Instantiate Agent
     try:
         agent = GAIAAgent()
@@ -60,16 +45,18 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     # In the case of an app running as a Hugging Face space, this link points toward your codebase
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" if space_id else "Local"
     print(f"Agent code location: {agent_code}")
-
+    
     # 2. Fetch Questions
     print(f"Fetching questions from: {questions_url}")
     try:
         response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
         questions_data = response.json()
+        
         if not questions_data:
             print("Fetched questions list is empty.")
             return "Fetched questions list is empty or invalid format.", None
+        
         print(f"Fetched {len(questions_data)} questions.")
     except requests.exceptions.RequestException as e:
         print(f"Error fetching questions: {e}")
@@ -81,40 +68,52 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     except Exception as e:
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
-
-     # 3. Run your Agent
+    
+    # 3. Run your Agent
     results_log = []
     answers_payload = []
+    
     print(f"Running agent on {len(questions_data)} questions...")
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
+        
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
+        
         try:
+            print(f"\n{'='*50}")
+            print(f"Processing Task ID: {task_id}")
+            print(f"Question: {question_text}")
+            
             submitted_answer = agent(question_text)
+            
+            print(f"Answer: {submitted_answer}")
+            print(f"{'='*50}\n")
+            
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
         except Exception as e:
-             print(f"Error running agent on task {task_id}: {e}")
-             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
-
+            print(f"Error running agent on task {task_id}: {e}")
+            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+    
     if not answers_payload:
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
-
-    # 4. Prepare Submission 
+    
+    # 4. Prepare Submission
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
-
+    
     # 5. Submit
     print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
         result_data = response.json()
+        
         final_status = (
             f"Submission Successful!\n"
             f"User: {result_data.get('username')}\n"
@@ -122,9 +121,11 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
             f"Message: {result_data.get('message', 'No message received.')}"
         )
+        
         print("Submission successful.")
         results_df = pd.DataFrame(results_log)
         return final_status, results_df
+        
     except requests.exceptions.HTTPError as e:
         error_detail = f"Server responded with status {e.response.status_code}."
         try:
@@ -132,55 +133,56 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
         except requests.exceptions.JSONDecodeError:
             error_detail += f" Response: {e.response.text[:500]}"
+        
         status_message = f"Submission Failed: {error_detail}"
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
+        
     except requests.exceptions.Timeout:
         status_message = "Submission Failed: The request timed out."
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
+        
     except requests.exceptions.RequestException as e:
         status_message = f"Submission Failed: Network error - {e}"
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
+        
     except Exception as e:
         status_message = f"An unexpected error occurred during submission: {e}"
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
 
-
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
     gr.Markdown("# GAIA Benchmark Agent Evaluation")
     gr.Markdown(
         """
-        **Instructions:**
-        1. This app integrates a LangChain agent with multiple tools (calculator, Wikipedia, web search, Arxiv).
-        2. Log in to your Hugging Face account using the button below.
-        3. Click 'Run Evaluation & Submit All Answers' to fetch GAIA questions, run your agent, and submit answers.
-        
-        **Agent Tools:**
-        - Mathematical operations (add, subtract, multiply, divide, modulus)
-        - Wikipedia search
-        - Web search (DDGS)
-        - Arxiv academic paper search
-        - Web Scraping Tool using BeautifulSoup
-        
-        **Note:** Processing all questions may take several minutes depending on the number of questions and API response times.
+**Instructions:**
+1. This app integrates a LangChain ReAct agent with multiple tools (calculator, Wikipedia, web search, Arxiv).
+2. Log in to your Hugging Face account using the button below.
+3. Click 'Run Evaluation & Submit All Answers' to fetch GAIA questions, run your agent, and submit answers.
+
+**Agent Tools:**
+- Mathematical operations (add, subtract, multiply, divide, modulus)
+- Wikipedia search
+- Web search (DuckDuckGo)
+- Arxiv academic paper search
+- Web Scraping Tool using BeautifulSoup
+
+**Note:** Processing all questions may take several minutes depending on the number of questions and API response times.
         """
     )
-
+    
     gr.LoginButton()
-
     run_button = gr.Button("Run Evaluation & Submit All Answers", variant="primary")
-
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
-
+    
     run_button.click(
         fn=run_and_submit_all,
         outputs=[status_output, results_table]
@@ -192,27 +194,27 @@ if __name__ == "__main__":
     # Check for required environment variables
     space_host_startup = os.getenv("SPACE_HOST")
     space_id_startup = os.getenv("SPACE_ID")
-    google_api_key = os.getenv("GOOGLE_API_KEY")
+    openrouter_key_startup = os.getenv("OPENROUTER_API_KEY")
     
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
         print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")
     else:
-        print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
-
+        print("ℹ️ SPACE_HOST environment variable not found (running locally?).")
+    
     if space_id_startup:
         print(f"✅ SPACE_ID found: {space_id_startup}")
         print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
         print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
     else:
-        print("ℹ️  SPACE_ID environment variable not found (running locally?).")
-
-    if google_api_key:
-        print("✅ GOOGLE_API_KEY found")
+        print("ℹ️ SPACE_ID environment variable not found (running locally?).")
+    
+    if openrouter_key_startup:
+        print("✅ OPENROUTER_API_KEY found")
     else:
-        print("⚠️  GOOGLE_API_KEY not found - agent will not work without it!")
-
+        print("⚠️ OPENROUTER_API_KEY not found - agent will not work without it!")
+    
     print("-"*(60 + len(" App Starting ")) + "\n")
-
     print("Launching Gradio Interface for GAIA Agent Evaluation...")
-    demo.launch(debug=True, share=False)
+    
+    demo.launch(debug=True, share=False)