Update app.py

app.py

@@ -74,16 +74,16 @@ vectorstore = Chroma(
 
 # Prepare the logging functionality
 
-log_file = Path("logs/") / f"data_{uuid.uuid4()}.json"
-log_folder = log_file.parent
-
-scheduler = CommitScheduler(
-    repo_id="imat_db",
-    repo_type="dataset",
-    folder_path=log_folder,
-    path_in_repo="data",
-    every=2
-)
+#log_file = Path("logs/") / f"data_{uuid.uuid4()}.json"
+#log_folder = log_file.parent
+
+#scheduler = CommitScheduler(
+#    repo_id="imat_db",
+#    repo_type="dataset",
+#    folder_path=log_folder,
+#    path_in_repo="data",
+#    every=2
+#)
 
 # Define the Q&A system message
 qna_system_message = """
@@ -217,7 +217,7 @@ def predict(user_input, timeout_seconds=1800): # 30 minutes = 1800 seconds
             ))
             f.write("\n")
 
-    return prediction
+return prediction
 
 # Set-up the Gradio UI
 # Add text box.