Update app.py

app.py

@@ -366,22 +366,20 @@ def process_user_query(user_query, retrieved_doc):
   return processed_doc
 
 #Context awareness
-from collections import deque
+# from collections import deque
 
-class ContextManger:
-  def __init__(self,max_history=7):
-    self.history = deque(maxlen=max_history)
+# class ContextManger:
+#   def __init__(self,max_history=7):
+#     self.history = deque(maxlen=max_history)
 
-  def add_interaction(self,query,response):
-    self.history.append((query,response))
+#   def add_interaction(self,query,response):
+#     self.history.append((query,response))
 
-  def get_context(self):
-    return list(self.history)
+#   def get_context(self):
+#     return list(self.history)
 
-context_manager = ContextManger()
+# context_manager = ContextManger()
 
-# context = context_manager.get_context()
-#     contexulized_query = f"Previous context: {context} \n\nCurrent query: {indic_to_en}"
 
 import traceback
 
@@ -395,20 +393,19 @@ def process_gradio_input(audio, user_lang):
     print(f"Translating indic to en..")
     indic_to_en = indic_translate(src_lang=user_lang, tgt_lang="english", sents_to_translate=[query_transcription])[0]
 
-    # context_manager = ContextManager()
 
-    context = context_manager.get_context()
-    contexulized_query = f"Previous context: {context} \n\nCurrent query: {indic_to_en}"
+    # context = context_manager.get_context()
+    # contexulized_query = f"Previous context: {context} \n\nCurrent query: {indic_to_en}"
 
     # Query the Vector DB to get the relevant document from the query
     print(f"Querying vector db")
-    retrieved_doc = query_vector_db(contexulized_query)
+    retrieved_doc = query_vector_db(indic_to_en)
 
     # Extract relevant information from the retrieved document
     print(f"Processing user query")
-    processed_doc = process_user_query(user_query=contexulized_query, retrieved_doc=retrieved_doc)
+    processed_doc = process_user_query(user_query=indic_to_en, retrieved_doc=retrieved_doc)
 
-    context_manager.add_interaction(indic_to_en, processed_doc)
+    # context_manager.add_interaction(indic_to_en, processed_doc)
 
     # Break the document into chunks for faster batch processing
     print(f"Breaking document into chunks..")