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Merge pull request #332 from mache102/main

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Add searchbar for conversations
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t.me/xtekky 2023-05-01 09:18:45 +01:00 committed by GitHub
commit 2ae26bfa7e
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1 changed files with 27 additions and 8 deletions
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35
gui/streamlit_chat_app.py
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@ -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}")