Update app.py

app.py

@@ -3,7 +3,6 @@ import gradio as gr
 import requests
 import pandas as pd
 import json
-import io
 from langchain_core.messages import HumanMessage
 from langgraph_agent import build_graph
 
@@ -117,7 +116,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             answers_payload.append({
                 "task_id": task_id,
                 "model_answer": submitted_answer,
-                # "reasoning_trace": None  # Optional: add reasoning trace if available
+                # "reasoning_trace": None  # optional, add if available
             })
             results_log.append({
                 "Task ID": task_id,
@@ -141,28 +140,18 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
-    # Serialize to JSON Lines string
-    json_lines_str = "\n".join(json.dumps(ans) for ans in answers_payload)
-
-    # Prepare file-like object for upload
-    file_like = io.BytesIO(json_lines_str.encode("utf-8"))
-    file_like.name = "submission.jsonl"  # Filename required for multipart upload
-
-    # Prepare multipart form data
-    files = {
-        "file": (file_like.name, file_like, "application/jsonl")
-    }
-    data = {
+    # 4. Prepare submission JSON object
+    submission_data = {
         "username": username.strip(),
-        "agent_code": agent_code
+        "agent_code": agent_code,
+        "answers": answers_payload
     }
 
     print(f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'...")
 
-    # 5. Submit
-    print(f"Submitting answers to: {submit_url}")
+    # 5. Submit answers as JSON body
     try:
-        response = requests.post(submit_url, data=data, files=files, timeout=60)
+        response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
         result_data = response.json()
         final_status = (