Update app.py

app.py

@@ -1,51 +1,79 @@
 import os
 import gradio as gr
 import pandas as pd
-import requests
-import openai
 
-# Load OpenAI API key from environment
-openai.api_key = os.getenv("OPENAI_API_KEY")
+# --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Smart Agent using GPT-3.5 ---
-class OpenAIAgent:
+# --- Dummy Agent ---
+class DummyAgent:
     def __init__(self):
-        print("OpenAI Agent Ready")
+        print("DummyAgent initialized (no SSL support).")
 
     def __call__(self, question: str) -> str:
-        try:
-            print(f"[Question] {question[:60]}...")
-            response = openai.ChatCompletion.create(
-                model="gpt-3.5-turbo",  # use free-tier model
-                messages=[
-                    {"role": "system", "content": "You are a helpful, accurate, and concise AI assistant."},
-                    {"role": "user", "content": question}
-                ],
-                temperature=0.3,
-                max_tokens=500
-            )
-            return response.choices[0].message["content"].strip()
-        except Exception as e:
-            print(f"[OpenAI Error]: {e}")
-            return "Error: Could not generate answer."
+        return "Error: Could not generate answer."
 
-# --- Main Submission Function ---
+# --- Main Run & Submit Function ---
 def run_and_submit_all(profile: gr.OAuthProfile | None):
-    if not profile:
-        return "❌ Please log in to Hugging Face first.", None
+    # Use your actual Space ID here as fallback if env not set
+    space_id = os.getenv("SPACE_ID", "XeroDN/final_assignment")
+
+    if profile:
+        username = profile.username
+        print(f"✅ Logged in as: {username}")
+    else:
+        return "⚠️ Please log in to Hugging Face first.", None
+
+    questions_url = f"{DEFAULT_API_URL}/questions"
+    submit_url = f"{DEFAULT_API_URL}/submit"
+
+    try:
+        import ssl
+        import requests
+        ssl_supported = True
+    except ImportError:
+        ssl_supported = False
+
+    if ssl_supported:
+        try:
+            from openai import OpenAI
+
+            class OpenAIAgent:
+                def __init__(self):
+                    self.client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+                def __call__(self, question: str) -> str:
+                    try:
+                        response = self.client.chat.completions.create(
+                            model="gpt-3.5-turbo",  # or "gpt-4" if you have access
+                            messages=[
+                                {"role": "system", "content": "You are a helpful and precise reasoning agent. Think step-by-step, and be concise."},
+                                {"role": "user", "content": question}
+                            ]
+                        )
+                        return response.choices[0].message.content.strip()
+                    except Exception as e:
+                        print(f"[OpenAI API Error] {e}")
+                        return "Error: Could not generate answer."
+
+            agent = OpenAIAgent()
+
+        except Exception as e:
+            print("Falling back to DummyAgent:", e)
+            agent = DummyAgent()
+    else:
+        agent = DummyAgent()
 
-    username = profile.username
-    space_id = os.getenv("SPACE_ID", "your-username/your-space-name")
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
-    agent = OpenAIAgent()
 
     try:
-        response = requests.get(f"{DEFAULT_API_URL}/questions", timeout=15)
+        response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
         questions = response.json()
+        if not questions:
+            return "⚠️ No questions fetched.", None
     except Exception as e:
-        return f"❌ Failed to fetch questions: {e}", None
+        return f"❌ Error fetching questions: {e}", None
 
     results_log = []
     answers_payload = []
@@ -55,40 +83,49 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         question_text = item.get("question")
         if not task_id or not question_text:
             continue
-        answer = agent(question_text)
-        answers_payload.append({"task_id": task_id, "submitted_answer": answer})
-        results_log.append({
-            "Task ID": task_id,
-            "Question": question_text,
-            "Submitted Answer": answer
-        })
-
-    submission_data = {
+        try:
+            submitted_answer = agent(question_text)
+            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:
+            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"Error: {e}"})
+
+    if not answers_payload:
+        return "⚠️ Agent did not produce any answers to submit.", pd.DataFrame(results_log)
+
+    submission = {
         "username": username,
         "agent_code": agent_code,
         "answers": answers_payload
     }
 
     try:
-        resp = requests.post(f"{DEFAULT_API_URL}/submit", json=submission_data, timeout=60)
+        resp = requests.post(submit_url, json=submission, timeout=60)
         resp.raise_for_status()
         result = resp.json()
         score = result.get("score", "N/A")
         correct = result.get("correct_count", "?")
         total = result.get("total_attempted", "?")
-        msg = f"✅ Submission Successful!\nUser: {username}\nScore: {score}% ({correct}/{total} correct)"
-        return msg, pd.DataFrame(results_log)
+
+        final_msg = (
+            f"✅ Submission Successful!\n"
+            f"User: {username}\n"
+            f"Score: {score}% ({correct}/{total} correct)"
+        )
+        return final_msg, pd.DataFrame(results_log)
     except Exception as e:
         return f"❌ Submission failed: {e}", pd.DataFrame(results_log)
 
 # --- Gradio UI ---
 with gr.Blocks() as demo:
-    gr.Markdown("## 🤖 GAIA Benchmark Agent Submission Tool")
-    gr.Markdown("Login below and run your agent on the GAIA benchmark.")
+    gr.Markdown("## 🤖 GAIA Benchmark Agent Submission")
+    gr.Markdown("Click below to log in and run your agent on the GAIA benchmark.")
+
     gr.LoginButton()
-    run_btn = gr.Button("Run Evaluation & Submit All Answers")
+    run_btn = gr.Button("🚀 Run Evaluation & Submit All Answers")
     status = gr.Textbox(label="Status", lines=5)
     table = gr.DataFrame(label="Results")
+
     run_btn.click(fn=run_and_submit_all, outputs=[status, table])
 
 if __name__ == "__main__":