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-rw-r--r--g4f/.v1/gui/streamlit_chat_app.py156
1 files changed, 156 insertions, 0 deletions
diff --git a/g4f/.v1/gui/streamlit_chat_app.py b/g4f/.v1/gui/streamlit_chat_app.py
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+++ b/g4f/.v1/gui/streamlit_chat_app.py
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+import atexit
+import Levenshtein
+import os
+import sys
+
+sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
+
+import streamlit as st
+from streamlit_chat import message
+from query_methods import query, avail_query_methods
+import pickle
+
+conversations_file = "conversations.pkl"
+
+def load_conversations():
+ try:
+ with open(conversations_file, "rb") as f:
+ return pickle.load(f)
+ except FileNotFoundError:
+ return []
+ except EOFError:
+ return []
+
+
+def save_conversations(conversations, current_conversation):
+ updated = False
+ for idx, conversation in enumerate(conversations):
+ if conversation == current_conversation:
+ conversations[idx] = current_conversation
+ updated = True
+ break
+ if not updated:
+ conversations.append(current_conversation)
+
+ temp_conversations_file = "temp_" + conversations_file
+ with open(temp_conversations_file, "wb") as f:
+ pickle.dump(conversations, f)
+
+ os.replace(temp_conversations_file, conversations_file)
+
+def delete_conversation(conversations, current_conversation):
+ for idx, conversation in enumerate(conversations):
+ conversations[idx] = current_conversation
+ break
+ conversations.remove(current_conversation)
+
+ temp_conversations_file = "temp_" + conversations_file
+ with open(temp_conversations_file, "wb") as f:
+ pickle.dump(conversations, f)
+
+ os.replace(temp_conversations_file, conversations_file)
+
+def exit_handler():
+ print("Exiting, saving data...")
+ # Perform cleanup operations here, like saving data or closing open files.
+ save_conversations(st.session_state.conversations, st.session_state.current_conversation)
+
+
+# Register the exit_handler function to be called when the program is closing.
+atexit.register(exit_handler)
+
+st.header("Chat Placeholder")
+
+if 'conversations' not in st.session_state:
+ st.session_state['conversations'] = load_conversations()
+
+if 'input_text' not in st.session_state:
+ st.session_state['input_text'] = ''
+
+if 'selected_conversation' not in st.session_state:
+ st.session_state['selected_conversation'] = None
+
+if 'input_field_key' not in st.session_state:
+ st.session_state['input_field_key'] = 0
+
+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_-1'#{st.session_state["input_field_key"]}
+)
+submit_button = st.button("Submit")
+
+if (user_input and user_input != st.session_state['input_text']) or submit_button:
+ output = query(user_input, st.session_state['query_method'])
+
+ escaped_output = output.encode('utf-8').decode('unicode-escape')
+
+ 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'] = ''
+ st.session_state['input_field_key'] += 1 # Increment key value for new widget
+ user_input = input_placeholder.text_input(
+ 'You:', value=st.session_state['input_text'], key=f'input_text_{st.session_state["input_field_key"]}'
+ ) # Clear the input field
+
+# Add a button to create a new conversation
+if st.sidebar.button("New Conversation"):
+ st.session_state['selected_conversation'] = None
+ st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
+ st.session_state['input_field_key'] += 1 # Increment key value for new widget
+ st.session_state['query_method'] = st.sidebar.selectbox("Select API:", options=avail_query_methods, index=0)
+
+# Proxy
+st.session_state['proxy'] = st.sidebar.text_input("Proxy: ")
+
+# Searchbar
+search_query = st.sidebar.text_input("Search Conversations:", value=st.session_state.get('search_query', ''), key='search')
+
+if search_query:
+ filtered_conversations = []
+ indices = []
+ for idx, conversation in enumerate(st.session_state.conversations):
+ if search_query in conversation['user_inputs'][0]:
+ filtered_conversations.append(conversation)
+ indices.append(idx)
+
+ filtered_conversations = list(zip(indices, filtered_conversations))
+ conversations = sorted(filtered_conversations, key=lambda x: Levenshtein.distance(search_query, x[1]['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)
+sidebar_col1, sidebar_col2 = st.sidebar.columns([5,1])
+for idx, conversation in enumerate(conversations):
+ if sidebar_col1.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'] = conversation
+ if sidebar_col2.button('🗑️', key=f"sidebar_btn_delete_{idx}"):
+ if st.session_state['selected_conversation'] == idx:
+ st.session_state['selected_conversation'] = None
+ st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
+ delete_conversation(conversations, conversation)
+ st.experimental_rerun()
+if st.session_state['selected_conversation'] is not None:
+ 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}") \ No newline at end of file