Update app.py

app.py

@@ -1,51 +1,63 @@
 # app.py
 
 import os
-import asyncio
-import pandas as pd
 import requests
+import pandas as pd
 import gradio as gr
 from agent import answer_question
+import asyncio
 
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 class GAIALlamaAgent:
     def __init__(self):
-        print("Initialized LlamaIndex Agent")
+        print("✅ LangChain/LlamaIndex Agent initialized.")
 
     def __call__(self, question: str) -> str:
-        print(f"Received question: {question[:60]}...")
-        return asyncio.run(answer_question(question))
+        print(f"📨 Agent received: {question[:50]}...")
+        try:
+            return asyncio.run(answer_question(question))
+        except Exception as e:
+            return f"[ERROR] {str(e)}"
 
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
     username = profile.username if profile else None
     if not username:
-        return "Please login to Hugging Face.", None
+        return "Please log in to Hugging Face.", None
 
-    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" if space_id else ""
+    print(f"👤 User: {username}")
     api_url = DEFAULT_API_URL
+    questions_url = f"{api_url}/questions"
+    submit_url = f"{api_url}/submit"
+    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" if space_id else ""
 
     try:
-        response = requests.get(f"{api_url}/questions", timeout=15)
+        response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
         questions_data = response.json()
+        print(f"📥 Fetched {len(questions_data)} questions")
     except Exception as e:
-        return f"Error fetching questions: {e}", None
+        return f"❌ Error fetching questions: {e}", None
 
+    agent = GAIALlamaAgent()
     answers_payload = []
     results_log = []
-    agent = GAIALlamaAgent()
 
     for item in questions_data:
-        q = item.get("question")
-        task_id = item.get("task_id")
+        qid = item.get("task_id")
+        question = item.get("question")
+        if not qid or not question:
+            continue
         try:
-            a = agent(q)
+            answer = agent(question)
         except Exception as e:
-            a = f"ERROR: {e}"
-        answers_payload.append({"task_id": task_id, "submitted_answer": a})
-        results_log.append({"Task ID": task_id, "Question": q, "Submitted Answer": a})
+            answer = f"[AGENT ERROR] {e}"
+        answers_payload.append({"task_id": qid, "submitted_answer": answer})
+        results_log.append({"Task ID": qid, "Question": question, "Submitted Answer": answer})
+
+    if not answers_payload:
+        return "No answers to submit.", pd.DataFrame(results_log)
 
     submission_data = {
         "username": username,
@@ -54,7 +66,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     }
 
     try:
-        response = requests.post(f"{api_url}/submit", json=submission_data, timeout=60)
+        response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
         result_data = response.json()
         status = (
@@ -66,14 +78,28 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         )
         return status, pd.DataFrame(results_log)
     except Exception as e:
-        return f"Submission failed: {e}", pd.DataFrame(results_log)
+        return f"❌ Submission failed: {e}", pd.DataFrame(results_log)
 
+# --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# LlamaIndex GAIA Agent – Evaluation Portal")
+    gr.Markdown("""
+        # 🧠 GAIA Agent Evaluation
+
+        This app runs a LlamaIndex + LangChain powered agent through the GAIA benchmark.
+
+        1. Login to Hugging Face below
+        2. Click **Run Evaluation** to test all questions
+        3. Answers will be submitted and scored
+        """)
     gr.LoginButton()
-    run_btn = gr.Button("Run Evaluation & Submit All Answers")
-    status_box = gr.Textbox(label="Status", lines=5)
-    result_table = gr.DataFrame(label="Agent Answers")
-    run_btn.click(fn=run_and_submit_all, outputs=[status_box, result_table])
+    run_button = gr.Button("Run Evaluation & Submit All Answers")
+    status_output = gr.Textbox(label="Status", 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])
 
-demo.launch(debug=True)
+if __name__ == "__main__":
+    print("\n🔁 App Starting Up...")
+    if os.getenv("SPACE_ID"):
+        print(f"🔗 Space: https://huggingface.co/spaces/{os.getenv('SPACE_ID')}")
+    demo.launch(debug=True)