Update app.py

app.py

@@ -42,7 +42,7 @@ openai = OpenAI(
 )
 SESSION_ID = "default"
 
-pending_clarifications = {}
+# pending_clarifications = {}
 
 def call_llm(model: str, messages: list[dict], temperature: float = 0.0, **kwargs) -> str:
     resp = openai.chat.completions.create(
@@ -98,19 +98,19 @@ def process_query(query: str, first_turn: bool = False, session_id: str = "defau
     )
     process_log.append(f"Relevance Check: {relevance}")
 
-    redirect_message = "Hello I’m Wisal, an AI assistant developed by Compumacy AI, and a knowledgeable Autism specialist.\nIf you have any question related to autism please submit a question specifically about autism."
+    # redirect_message = "Hello I’m Wisal, an AI assistant developed by Compumacy AI, and a knowledgeable Autism specialist.\nIf you have any question related to autism please submit a question specifically about autism."
 
-    if relevance.startswith("Hello I’m Wisal"):
-        clarification = f"Your query was not clearly related to autism. Do you mean:\n\"{corrected_query}\"\nIf yes, please confirm so I can help. If not:\n{redirect_message}"
-        pending_clarifications[session_id] = corrected_query
-        process_log.append(f"Clarification Prompted: {clarification}")
-        _save_process_log(process_log)
-        return clarification
+    # if relevance.startswith("Hello I’m Wisal"):
+    #     clarification = f"Your query was not clearly related to autism. Do you mean:\n\"{corrected_query}\"\nIf yes, please confirm so I can help. If not:\n{redirect_message}"
+    #     pending_clarifications[session_id] = corrected_query
+    #     process_log.append(f"Clarification Prompted: {clarification}")
+    #     _save_process_log(process_log)
+    #     return clarification
 
-    if relevance != "RELATED":
-        process_log.append("Query not autism-related.")
-        _save_process_log(process_log)
-        return intro + relevance
+    # if relevance != "RELATED":
+    #     process_log.append("Query not autism-related.")
+    #     _save_process_log(process_log)
+    #     return intro + relevance
 
     return process_autism_pipeline(corrected_query, process_log, intro)