118 lines
4.3 KiB
Python
118 lines
4.3 KiB
Python
import atexit
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import os
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import sys
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sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
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import streamlit as st
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from streamlit_chat import message
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from query_methods import query, avail_query_methods
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import pickle
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conversations_file = "conversations.pkl"
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def load_conversations():
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try:
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with open(conversations_file, "rb") as f:
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return pickle.load(f)
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except FileNotFoundError:
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return []
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except EOFError:
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return []
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def save_conversations(conversations, current_conversation):
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updated = False
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for idx, conversation in enumerate(conversations):
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if conversation == current_conversation:
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conversations[idx] = current_conversation
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updated = True
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break
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if not updated:
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conversations.append(current_conversation)
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temp_conversations_file = "temp_" + conversations_file
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with open(temp_conversations_file, "wb") as f:
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pickle.dump(conversations, f)
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os.replace(temp_conversations_file, conversations_file)
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def exit_handler():
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print("Exiting, saving data...")
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# Perform cleanup operations here, like saving data or closing open files.
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save_conversations(st.session_state.conversations, st.session_state.current_conversation)
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# Register the exit_handler function to be called when the program is closing.
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atexit.register(exit_handler)
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st.header("Chat Placeholder")
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if 'conversations' not in st.session_state:
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st.session_state['conversations'] = load_conversations()
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if 'input_text' not in st.session_state:
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st.session_state['input_text'] = ''
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if 'selected_conversation' not in st.session_state:
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st.session_state['selected_conversation'] = None
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if 'input_field_key' not in st.session_state:
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st.session_state['input_field_key'] = 0
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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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# 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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)
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submit_button = st.button("Submit")
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if (user_input and user_input != st.session_state['input_text']) or submit_button:
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output = query(user_input, st.session_state['query_method'])
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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['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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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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) # Clear the input field
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# Add a button to create a new conversation
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if st.sidebar.button("New Conversation"):
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st.session_state['selected_conversation'] = None
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st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
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st.session_state['input_field_key'] += 1
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st.session_state['query_method'] = st.sidebar.selectbox("Select API:", options=avail_query_methods, index=0)
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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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for idx, conversation in enumerate(st.session_state.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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else:
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conversation_to_display = st.session_state.current_conversation
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if conversation_to_display['generated_responses']:
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for i in range(len(conversation_to_display['generated_responses']) - 1, -1, -1):
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message(conversation_to_display["generated_responses"][i], key=f"display_generated_{i}")
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message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}") |