mirror of
https://github.com/sean1832/GPT-Brain
synced 2024-11-15 06:12:57 +00:00
317 lines
12 KiB
Python
317 lines
12 KiB
Python
import time
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import streamlit as st
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import streamlit_toggle as st_toggle
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import os
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from modules import utilities as util
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import tkinter as tk
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from tkinter import filedialog
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from modules import language
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user_dir = '.user/'
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prompt_dir = f'{user_dir}prompt/'
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brain_memo = f'{user_dir}brain-memo.json'
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if 'FILTER_ROW_COUNT' not in st.session_state:
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st.session_state['FILTER_ROW_COUNT'] = util.read_json_at(brain_memo, 'filter_row_count')
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_ = language.set_language()
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st.set_page_config(
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page_title='Configs'
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)
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body = st.container()
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def save(content, path, page='', json_value: dict = None):
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if json_value is None:
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json_value = []
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save_but = st.button(_('💾Save'))
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if save_but:
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util.write_file(content, path)
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st.success(_('✅File saved!'))
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# write to json file
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if page == '💽Brain Memory':
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util.update_json(brain_memo, 'delimiter', json_value['delimiter'])
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util.update_json(brain_memo, 'append_mode', json_value['append_mode'])
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util.update_json(brain_memo, 'force_mode', json_value['force_mode'])
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util.update_json(brain_memo, 'advanced_mode', json_value['advanced_mode'])
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util.update_json(brain_memo, 'filter_info', json_value['filter_info'])
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util.update_json(brain_memo, 'filter_row_count', json_value['filter_row_count'])
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time.sleep(1)
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# refresh page
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st.experimental_rerun()
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def select_directory():
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root = tk.Tk()
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root.withdraw()
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# make sure the dialog is on top of the main window
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root.attributes('-topmost', True)
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directory = filedialog.askdirectory(initialdir=os.getcwd(), title=_('Select Note Directory'), master=root)
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return directory
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def match_logic(operator, filter_val, value):
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if operator == 'IS':
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return filter_val == value
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elif operator == 'IS NOT':
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return filter_val != value
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elif operator == 'CONTAINS':
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return filter_val in value
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elif operator == 'NOT CONTAINS':
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return filter_val not in value
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elif operator == 'MORE THAN':
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# check if value is float
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if not value.isnumeric():
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return False
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return float(filter_val) < float(value)
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elif operator == 'LESS THAN':
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# check if value is float
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if not value.isnumeric():
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return False
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return float(filter_val) > float(value)
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elif operator == 'MORE THAN OR EQUAL':
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# check if value is float
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if not value.isnumeric():
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return False
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return float(filter_val) <= float(value)
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elif operator == 'LESS THAN OR EQUAL':
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# check if value is float
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if not value.isnumeric():
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return False
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return float(filter_val) >= float(value)
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else:
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return False
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def extract_frontmatter(content, delimiter='---'):
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# extract metadata
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try:
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yaml = util.extract_string(content, delimiter, True, join=False, split_mode=True)[1]
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except IndexError:
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yaml = ''
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fields = yaml.split('\n')
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return fields
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def match_fields(pages: list, filter_datas: list[dict]):
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filtered_contents = []
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for page in pages:
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fields = extract_frontmatter(page, delimiter='---')
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found_data = []
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for field in fields:
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if field == '':
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continue
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found_key, found_value = field.split(':')
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found_key = found_key.strip()
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found_value = found_value.strip()
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found_data.append({
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'key': found_key,
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'value': found_value
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})
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found_match = []
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for data in filter_datas:
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for found in found_data:
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data_key = data['key'].lower()
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data_val = data['value'].lower()
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found_key = found['key'].lower()
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found_val = found['value'].lower()
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if data_key == found_key:
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if match_logic(data['logic'], data_val, found_val):
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# found single match
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found_match.append(True)
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# if all match
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if found_match.count(True) == len(filter_datas):
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filtered_contents.append(page)
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combined_contents = '\n\n\n\n'.join(filtered_contents)
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return combined_contents
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def add_filter(num, val_filter_key, val_filter_logic, val_filter_val):
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# filters
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col1, col2, col3 = st.columns(3)
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with col1:
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filter_key = st.text_input(f'Key{num}', placeholder='Key', value=val_filter_key)
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with col2:
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options = ['CONTAINS',
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'NOT CONTAINS',
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'IS',
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'IS NOT',
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'MORE THAN',
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'LESS THAN',
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'MORE THAN OR EQUAL',
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'LESS THAN OR EQUAL']
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default_index = util.get_index(options, val_filter_logic, 0)
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logic_select = st.selectbox(f'Logic{num}', options, index=default_index)
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with col3:
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if isinstance(val_filter_val, int):
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val_filter_val = "{:02}".format(val_filter_val)
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filter_val = st.text_input(f'value{num}', placeholder='Value', value=val_filter_val)
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return filter_key, logic_select, filter_val
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def filter_data(pages: list, add_filter_button, del_filter_button):
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init_filter_infos = util.read_json_at(brain_memo, 'filter_info')
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filter_datas = []
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if add_filter_button:
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st.session_state['FILTER_ROW_COUNT'] += 1
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if del_filter_button:
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st.session_state['FILTER_ROW_COUNT'] -= 1
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if st.session_state['FILTER_ROW_COUNT'] >= 1:
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for i in range(st.session_state['FILTER_ROW_COUNT'] + 1):
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try:
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init_info = init_filter_infos[i - 1]
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init_key = init_info['key']
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init_logic = init_info['logic']
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init_val = init_info['value']
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except IndexError:
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init_key = ''
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init_logic = 'CONTAINS'
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init_val = ''
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if i == 0:
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continue
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# add filter
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filter_key, logic_select, filter_val = add_filter(i, init_key, init_logic, init_val)
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data = {'key': filter_key, 'logic': logic_select, 'value': filter_val}
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filter_datas.append(data)
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# filter data
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filtered_contents = match_fields(pages, filter_datas)
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return filtered_contents, filter_datas
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def main():
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with st.sidebar:
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st.title(_('Settings'))
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menu = st.radio(_('Menu'), [
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_('📝Prompts'),
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_('💽Brain Memory'),
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_('🔑API Keys')
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])
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with body:
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match menu:
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case _('📝Prompts'):
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st.title(_('📝Prompts'))
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st.text(_('Configuration of prompts.'))
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# read selected file
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last_sel_file = util.read_json_at(brain_memo, 'selected_prompt')
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all_files = os.listdir(prompt_dir)
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# sort files base on creation time
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all_files.sort(key=lambda x: os.path.getmtime(f'{prompt_dir}{x}'), reverse=True)
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# index of last selected file
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try:
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last_sel_file_index = all_files.index(last_sel_file)
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except ValueError:
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last_sel_file_index = 0
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selected_file = st.selectbox(_('Prompt File'), all_files, last_sel_file_index)
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col1, col2 = st.columns(2)
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with col1:
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if st_toggle.st_toggle_switch(_('New Prompt'), label_after=True):
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new_file = st.text_input(_('New Prompt Name'), value='new_prompt')
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if st.button(_('Create')):
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util.write_file('', f'{prompt_dir}{new_file}.txt')
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# change select file to new fie
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util.update_json(brain_memo, 'selected_prompt', selected_file)
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# refresh page
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st.experimental_rerun()
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with col2:
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is_core = selected_file == 'my-info.txt' or \
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selected_file == 'question.txt' or \
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selected_file == 'summarize.txt'
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if not is_core:
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if st_toggle.st_toggle_switch(_('Delete Prompt'), label_after=True):
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if st.button(_('❌Delete')):
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util.delete_file(f'{prompt_dir}{selected_file}')
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# refresh page
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st.experimental_rerun()
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selected_path = prompt_dir + selected_file
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mod_text = st.text_area(_('Prompts'), value=util.read_file(selected_path), height=500)
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save(mod_text, selected_path)
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case _('💽Brain Memory'):
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st.title(_('💽Brain Memory'))
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st.text(_('Modify your brain knowledge base.'))
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memory_data = util.read_file(f'{user_dir}input.txt')
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col1, col2 = st.columns(2)
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with col1:
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st.button(_('🔄Refresh'))
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with col2:
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if st.button(_('📁Select Note Directory')):
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note_dir = select_directory()
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util.update_json(brain_memo, 'note_dir', note_dir)
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note_dir = st.text_input(_('Note Directory'), value=util.read_json_at(brain_memo, 'note_dir'),
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placeholder=_('Select Note Directory'), key='note_dir')
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col1, col2, col3, col4 = st.columns([1, 2, 2, 2])
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with col1:
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delimiter_memo = util.read_json_at(brain_memo, 'delimiter')
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delimiter = st.text_input(_('Delimiter'), delimiter_memo, placeholder='e.g. +++')
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with col2:
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append_mode = st.checkbox(_('Append Mode'), value=util.read_json_at(brain_memo, 'append_mode'))
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force_delimiter = st.checkbox(_('Force Delimiter'),
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value=util.read_json_at(brain_memo, 'force_mode'))
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with col3:
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advanced_mode = st_toggle.st_toggle_switch(_('Filter Mode'),
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label_after=True,
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default_value=util.read_json_at(brain_memo,
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'advanced_mode', False))
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with col4:
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if advanced_mode:
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add_filter_button = st.button(_('Add Filter'))
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del_filter_button = st.button(_('Delete Filter'))
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# if note directory is selected
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if note_dir != '':
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# if advanced mode enabled
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if advanced_mode:
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note_datas = util.read_files(note_dir, single_string=False)
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note_datas, filter_info = filter_data(note_datas, add_filter_button, del_filter_button)
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# note_datas, filter_key, filter_logic, filter_val = filter_data(note_datas, True)
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modified_data = util.parse_data(note_datas, delimiter, force_delimiter)
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else:
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modified_data = util.read_files(note_dir, single_string=True, delimiter=delimiter,
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force=force_delimiter)
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if append_mode:
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memory_data += modified_data
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else:
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memory_data = modified_data
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mod_text = st.text_area(_('Raw Memory Inputs'), value=memory_data, height=500)
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save(mod_text, f'{user_dir}input.txt', _('💽Brain Memory'), {
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'delimiter': delimiter,
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'append_mode': append_mode,
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'force_mode': force_delimiter,
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'advanced_mode': advanced_mode,
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'filter_info': filter_info,
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'filter_row_count': len(filter_info),
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})
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case _('🔑API Keys'):
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st.title(_('🔑API Keys'))
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st.text(_('Configure your OpenAI API keys.'))
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mod_text = st.text_input(_('API Keys'), value=util.read_file(f'{user_dir}API-KEYS.txt'))
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save(mod_text, f'{user_dir}API-KEYS.txt')
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if __name__ == '__main__':
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main()
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