Update app.py

app.py

@@ -1,27 +1,35 @@
 import gradio as gr
 from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel
+import requests
 import time
 
-# Step 1: Setup Model
-model = InferenceClientModel(model="openai/gpt-3.5-turbo")  # ✅ Model interface
+# ✅ Correct GAIA API endpoint via Hugging Face proxy (fixes DNS error)
+GAIA_API = "https://huggingface.co/api/spaces/huggingface-projects/gaia-benchmark/api"
 
-# Step 2: Setup Tools
+# ✅ Set up your model
+model = InferenceClientModel(model="openai/gpt-3.5-turbo")  # Uses OpenAI GPT-3.5 via Inference API
+
+# ✅ Set up tools
 tools = [DuckDuckGoSearchTool()]
 
-# Step 3: Create Agent
+# ✅ Create your agent
 agent = CodeAgent(tools=tools, model=model)
 
-# 🚨 Mock GAIA Questions (Since API is unreachable)
+# ✅ Fetch questions from GAIA API
 def get_questions():
-    return [
-        {"task_id": "001", "question": "What is Python used for?"},
-        {"task_id": "002", "question": "Explain the concept of inheritance in object-oriented programming."},
-        {"task_id": "003", "question": "What is the difference between AI and ML?"}
-    ]
+    try:
+        response = requests.get(f"{GAIA_API}/questions")
+        response.raise_for_status()
+        return response.json()
+    except Exception as e:
+        return {"error": f"Failed to fetch questions: {e}"}
 
-# Answer all questions using your agent
+# ✅ Use the agent to answer all questions
 def answer_all():
     questions = get_questions()
+    if "error" in questions:
+        return [], questions["error"]
+
     answers = []
     for q in questions:
         task_id = q.get("task_id")
@@ -29,30 +37,44 @@ def answer_all():
         print(f"[{task_id}] ➜ {question}")
         try:
             response = agent.run(question).strip()
+            print(f"🧠 Answer: {response}\n")
         except Exception as e:
             response = f"Error generating answer: {e}"
+            print(response)
         answers.append({
             "task_id": task_id,
             "submitted_answer": response
         })
-        time.sleep(1)  # Optional delay
+        time.sleep(1)  # Delay to avoid rate limits
     return answers, None
 
-# Submit your agent's answers (mocked result)
+# ✅ Submit answers to GAIA leaderboard
 def submit_to_leaderboard(username, code_link):
     results, error = answer_all()
     if error:
         return error
 
-    # Simulated submission result
-    return f"✅ Submission Successful!\n\nSubmitted {len(results)} answers for {username}.\n[Mock submission only]"
+    payload = {
+        "username": username,
+        "agent_code": code_link,
+        "answers": results
+    }
+
+    try:
+        res = requests.post(f"{GAIA_API}/submit", json=payload)
+        if res.status_code == 200:
+            return f"✅ Submission Successful!\n\n{res.json()}"
+        else:
+            return f"❌ Submission Failed: {res.status_code}\n{res.text}"
+    except Exception as e:
+        return f"❌ Error during submission: {e}"
 
-# Gradio UI
+# ✅ Gradio UI for submission
 with gr.Blocks() as demo:
-    gr.Markdown("## 🤖 GAIA Agent Submission Portal\nThis is a **mock version** due to unreachable API.")
+    gr.Markdown("## 🤖 GAIA Agent Submission Portal\nSubmit your agent and join the leaderboard!")
     username = gr.Textbox(label="🔹 HuggingFace Username", placeholder="e.g. PavanKumarGurram")
     code_url = gr.Textbox(label="🔗 Public Link to Your Space (code view)", placeholder="e.g. https://huggingface.co/spaces/PavanKumarGurram/gaia-agent-pavan/tree/main")
-    submit_btn = gr.Button("🚀 Submit My Agent (Mock)")
+    submit_btn = gr.Button("🚀 Submit My Agent")
     output = gr.Textbox(label="📢 Submission Result", lines=10)
 
     submit_btn.click(fn=submit_to_leaderboard, inputs=[username, code_url], outputs=output)