Update app.py

app.py

@@ -1,3 +1,5 @@
+# app.py
+
 import gradio as gr
 import pandas as pd
 from inference import (
@@ -18,6 +20,12 @@ def ask_evo(question, option1, option2, history, user_vote):
     options = [option1.strip(), option2.strip()]
     result = evo_chat_predict(history, question.strip(), options)
 
+    # Create feedback_log.csv with headers if it doesn't exist
+    if not os.path.exists(FEEDBACK_LOG):
+        with open(FEEDBACK_LOG, "w", encoding="utf-8", newline="") as f:
+            writer = csv.writer(f)
+            writer.writerow(["question", "option1", "option2", "evo_answer", "confidence", "reasoning", "context", "vote"])
+
     row = {
         "question": question.strip(),
         "option1": option1.strip(),
@@ -30,11 +38,8 @@ def ask_evo(question, option1, option2, history, user_vote):
     }
 
     # Log feedback
-    file_exists = os.path.exists(FEEDBACK_LOG)
     with open(FEEDBACK_LOG, "a", newline='', encoding="utf-8") as f:
         writer = csv.DictWriter(f, fieldnames=row.keys())
-        if not file_exists:
-            writer.writeheader()
         writer.writerow(row)
 
     # Prepare outputs