diff --git a/gui/streamlit_chat_app.py b/gui/streamlit_chat_app.py
index bca4b95..7eb5a65 100644
--- a/gui/streamlit_chat_app.py
+++ b/gui/streamlit_chat_app.py
@@ -1,4 +1,5 @@
 import atexit
+import Levenshtein
 import os
 import sys
 
@@ -64,13 +65,16 @@ if 'input_field_key' not in st.session_state:
 if 'query_method' not in st.session_state:
     st.session_state['query_method'] = query
 
+if 'search_query' not in st.session_state:
+    st.session_state['search_query'] = ''
+
 # Initialize new conversation
 if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
     st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
 
 input_placeholder = st.empty()
 user_input = input_placeholder.text_input(
-    'You:', value=st.session_state['input_text'], key=f'input_text_{st.session_state["input_field_key"]}'
+    'You:', value=st.session_state['input_text'], key=f'input_text_-1'#{st.session_state["input_field_key"]}
 )
 submit_button = st.button("Submit")
 
@@ -79,7 +83,7 @@ if (user_input and user_input != st.session_state['input_text']) or submit_butto
 
     escaped_output = output.encode('utf-8').decode('unicode-escape')
 
-    st.session_state.current_conversation['user_inputs'].append(user_input)
+    st.session_state['current_conversation']['user_inputs'].append(user_input)
     st.session_state.current_conversation['generated_responses'].append(escaped_output)
     save_conversations(st.session_state.conversations, st.session_state.current_conversation)
     st.session_state['input_text'] = ''
@@ -98,20 +102,35 @@ if st.sidebar.button("New Conversation"):
 # Proxy
 st.session_state['proxy'] = st.sidebar.text_input("Proxy: ")
 
-# Sidebar
-st.sidebar.header("Conversation History")
+# Searchbar
+search_query = st.sidebar.text_input("Search Conversations:", value=st.session_state.get('search_query', ''), key='search')
 
-for idx, conversation in enumerate(st.session_state.conversations):
+if search_query:
+    filtered_conversations = []
+    for conversation in st.session_state.conversations:
+        if search_query in conversation['user_inputs'][0]:
+            filtered_conversations.append(conversation)
+
+    conversations = sorted(filtered_conversations, key=lambda c: Levenshtein.distance(search_query, c['user_inputs'][0]))
+    sidebar_header = f"Search Results ({len(conversations)})"
+else:
+    conversations = st.session_state.conversations
+    sidebar_header = "Conversation History"
+
+# Sidebar
+st.sidebar.header(sidebar_header)
+
+for idx, conversation in enumerate(conversations):
     if st.sidebar.button(f"Conversation {idx + 1}: {conversation['user_inputs'][0]}", key=f"sidebar_btn_{idx}"):
         st.session_state['selected_conversation'] = idx
-        st.session_state['current_conversation'] = st.session_state.conversations[idx]
+        st.session_state['current_conversation'] = conversation
 
 if st.session_state['selected_conversation'] is not None:
-    conversation_to_display = st.session_state.conversations[st.session_state['selected_conversation']]
+    conversation_to_display = conversations[st.session_state['selected_conversation']]
 else:
     conversation_to_display = st.session_state.current_conversation
 
 if conversation_to_display['generated_responses']:
     for i in range(len(conversation_to_display['generated_responses']) - 1, -1, -1):
         message(conversation_to_display["generated_responses"][i], key=f"display_generated_{i}")
-        message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}")
+        message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}")
\ No newline at end of file