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add searchbar
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@ -1,4 +1,5 @@
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import atexit
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import Levenshtein
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import os
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import sys
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@ -64,13 +65,16 @@ if 'input_field_key' not in st.session_state:
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if 'query_method' not in st.session_state:
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st.session_state['query_method'] = query
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if 'search_query' not in st.session_state:
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st.session_state['search_query'] = ''
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# Initialize new conversation
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if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
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st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
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input_placeholder = st.empty()
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user_input = input_placeholder.text_input(
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'You:', value=st.session_state['input_text'], key=f'input_text_{st.session_state["input_field_key"]}'
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'You:', value=st.session_state['input_text'], key=f'input_text_-1'#{st.session_state["input_field_key"]}
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)
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submit_button = st.button("Submit")
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@ -80,7 +84,7 @@ if (user_input and user_input != st.session_state['input_text']) or submit_butto
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escaped_output = output.encode('utf-8').decode('unicode-escape')
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st.session_state.current_conversation['user_inputs'].append(user_input)
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st.session_state['current_conversation']['user_inputs'].append(user_input)
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st.session_state.current_conversation['generated_responses'].append(escaped_output)
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save_conversations(st.session_state.conversations, st.session_state.current_conversation)
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st.session_state['input_text'] = ''
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@ -99,16 +103,31 @@ st.session_state['query_method'] = st.sidebar.selectbox("Select API:", options=a
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# Proxy
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st.session_state['proxy'] = st.sidebar.text_input("Proxy: ")
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# Sidebar
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st.sidebar.header("Conversation History")
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# Searchbar
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search_query = st.sidebar.text_input("Search Conversations:", value=st.session_state.get('search_query', ''), key='search')
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for idx, conversation in enumerate(st.session_state.conversations):
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if search_query:
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filtered_conversations = []
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for conversation in st.session_state.conversations:
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if search_query in conversation['user_inputs'][0]:
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filtered_conversations.append(conversation)
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conversations = sorted(filtered_conversations, key=lambda c: Levenshtein.distance(search_query, c['user_inputs'][0]))
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sidebar_header = f"Search Results ({len(conversations)})"
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else:
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conversations = st.session_state.conversations
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sidebar_header = "Conversation History"
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# Sidebar
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st.sidebar.header(sidebar_header)
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for idx, conversation in enumerate(conversations):
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if st.sidebar.button(f"Conversation {idx + 1}: {conversation['user_inputs'][0]}", key=f"sidebar_btn_{idx}"):
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st.session_state['selected_conversation'] = idx
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st.session_state['current_conversation'] = conversation
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if st.session_state['selected_conversation'] is not None:
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conversation_to_display = st.session_state.conversations[st.session_state['selected_conversation']]
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conversation_to_display = conversations[st.session_state['selected_conversation']]
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else:
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conversation_to_display = st.session_state.current_conversation
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