Spaces:
Sleeping
Sleeping
File size: 45,101 Bytes
fa9a583 cd5e862 fa9a583 4c1add8 83c8d2b 4c1add8 fa9a583 4c1add8 fa9a583 4c1add8 fa9a583 4c1add8 fa9a583 83c8d2b fa9a583 4c1add8 fa9a583 4c1add8 fa9a583 4c1add8 fa9a583 83c8d2b fa9a583 83c8d2b fa9a583 83c8d2b cd5e862 83c8d2b cd5e862 fa9a583 4e1f4a3 fa9a583 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 |
# Chat_ui.py
# Description: Chat interface functions for Gradio
#
# Imports
import html
import json
import logging
import os
import sqlite3
from datetime import datetime
#
# External Imports
import gradio as gr
#
# Local Imports
from App_Function_Libraries.Chat import chat, save_chat_history, update_chat_content, save_chat_history_to_db_wrapper
from App_Function_Libraries.DB.DB_Manager import add_chat_message, search_chat_conversations, create_chat_conversation, \
get_chat_messages, update_chat_message, delete_chat_message, load_preset_prompts, db
from App_Function_Libraries.Gradio_UI.Gradio_Shared import update_dropdown, update_user_prompt
#
#
########################################################################################################################
#
# Functions:
def show_edit_message(selected):
if selected:
return gr.update(value=selected[0], visible=True), gr.update(value=selected[1], visible=True), gr.update(
visible=True)
return gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)
def show_delete_message(selected):
if selected:
return gr.update(value=selected[1], visible=True), gr.update(visible=True)
return gr.update(visible=False), gr.update(visible=False)
def debug_output(media_content, selected_parts):
print(f"Debug - Media Content: {media_content}")
print(f"Debug - Selected Parts: {selected_parts}")
return ""
def update_selected_parts(use_content, use_summary, use_prompt):
selected_parts = []
if use_content:
selected_parts.append("content")
if use_summary:
selected_parts.append("summary")
if use_prompt:
selected_parts.append("prompt")
print(f"Debug - Update Selected Parts: {selected_parts}")
return selected_parts
# Old update_user_prompt shim for backwards compatibility
def get_system_prompt(preset_name):
# For backwards compatibility
prompts = update_user_prompt(preset_name)
return prompts["system_prompt"]
def clear_chat():
# Return empty list for chatbot and None for conversation_id
return gr.update(value=[]), None
# FIXME - add additional features....
def chat_wrapper(message, history, media_content, selected_parts, api_endpoint, api_key, custom_prompt, conversation_id,
save_conversation, temperature, system_prompt, max_tokens=None, top_p=None, frequency_penalty=None,
presence_penalty=None, stop_sequence=None):
try:
if save_conversation:
if conversation_id is None:
# Create a new conversation
media_id = media_content.get('id', None)
conversation_name = f"Chat about {media_content.get('title', 'Unknown Media')} - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
conversation_id = create_chat_conversation(media_id, conversation_name)
# Add user message to the database
user_message_id = add_chat_message(conversation_id, "user", message)
# Include the selected parts and custom_prompt only for the first message
if not history and selected_parts:
message_body = "\n".join(selected_parts)
full_message = f"{custom_prompt}\n\n{message}\n\n{message_body}"
elif custom_prompt:
full_message = f"{custom_prompt}\n\n{message}"
else:
full_message = message
# Generate bot response
bot_message = chat(full_message, history, media_content, selected_parts, api_endpoint, api_key, custom_prompt,
temperature, system_prompt)
logging.debug(f"Bot message being returned: {bot_message}")
if save_conversation:
# Add assistant message to the database
add_chat_message(conversation_id, "assistant", bot_message)
# Update history
new_history = history + [(message, bot_message)]
return bot_message, new_history, conversation_id
except Exception as e:
logging.error(f"Error in chat wrapper: {str(e)}")
return "An error occurred.", history, conversation_id
def search_conversations(query):
try:
conversations = search_chat_conversations(query)
if not conversations:
print(f"Debug - Search Conversations - No results found for query: {query}")
return gr.update(choices=[])
conversation_options = [
(f"{c['conversation_name']} (Media: {c['media_title']}, ID: {c['id']})", c['id'])
for c in conversations
]
print(f"Debug - Search Conversations - Options: {conversation_options}")
return gr.update(choices=conversation_options)
except Exception as e:
print(f"Debug - Search Conversations - Error: {str(e)}")
return gr.update(choices=[])
def load_conversation(conversation_id):
if not conversation_id:
return [], None
messages = get_chat_messages(conversation_id)
history = [
(msg['message'], None) if msg['sender'] == 'user' else (None, msg['message'])
for msg in messages
]
return history, conversation_id
def update_message_in_chat(message_id, new_text, history):
update_chat_message(message_id, new_text)
updated_history = [(msg1, msg2) if msg1[1] != message_id and msg2[1] != message_id
else ((new_text, msg1[1]) if msg1[1] == message_id else (new_text, msg2[1]))
for msg1, msg2 in history]
return updated_history
def delete_message_from_chat(message_id, history):
delete_chat_message(message_id)
updated_history = [(msg1, msg2) for msg1, msg2 in history if msg1[1] != message_id and msg2[1] != message_id]
return updated_history
def create_chat_interface():
custom_css = """
.chatbot-container .message-wrap .message {
font-size: 14px !important;
}
"""
with gr.TabItem("Remote LLM Chat (Horizontal)"):
gr.Markdown("# Chat with a designated LLM Endpoint, using your selected item as starting context")
chat_history = gr.State([])
media_content = gr.State({})
selected_parts = gr.State([])
conversation_id = gr.State(None)
with gr.Row():
with gr.Column(scale=1):
search_query_input = gr.Textbox(label="Search Query", placeholder="Enter your search query here...")
search_type_input = gr.Radio(choices=["Title", "URL", "Keyword", "Content"], value="Title",
label="Search By")
search_button = gr.Button("Search")
items_output = gr.Dropdown(label="Select Item", choices=[], interactive=True)
item_mapping = gr.State({})
with gr.Row():
use_content = gr.Checkbox(label="Use Content")
use_summary = gr.Checkbox(label="Use Summary")
use_prompt = gr.Checkbox(label="Use Prompt")
save_conversation = gr.Checkbox(label="Save Conversation", value=False, visible=True)
with gr.Row():
temperature = gr.Slider(label="Temperature", minimum=0.00, maximum=1.0, step=0.05, value=0.7)
with gr.Row():
conversation_search = gr.Textbox(label="Search Conversations")
with gr.Row():
search_conversations_btn = gr.Button("Search Conversations")
with gr.Row():
previous_conversations = gr.Dropdown(label="Select Conversation", choices=[], interactive=True)
with gr.Row():
load_conversations_btn = gr.Button("Load Selected Conversation")
api_endpoint = gr.Dropdown(label="Select API Endpoint",
choices=["Local-LLM", "OpenAI", "Anthropic", "Cohere", "Groq", "DeepSeek",
"Mistral", "OpenRouter",
"Llama.cpp", "Kobold", "Ooba", "Tabbyapi", "VLLM", "ollama",
"HuggingFace"])
api_key = gr.Textbox(label="API Key (if required)", type="password")
custom_prompt_checkbox = gr.Checkbox(label="Use a Custom Prompt",
value=False,
visible=True)
preset_prompt_checkbox = gr.Checkbox(label="Use a pre-set Prompt",
value=False,
visible=True)
preset_prompt = gr.Dropdown(label="Select Preset Prompt",
choices=load_preset_prompts(),
visible=False)
user_prompt = gr.Textbox(label="Custom Prompt",
placeholder="Enter custom prompt here",
lines=3,
visible=False)
system_prompt_input = gr.Textbox(label="System Prompt",
value="You are a helpful AI assitant",
lines=3,
visible=False)
with gr.Column():
chatbot = gr.Chatbot(height=600, elem_classes="chatbot-container")
msg = gr.Textbox(label="Enter your message")
submit = gr.Button("Submit")
clear_chat_button = gr.Button("Clear Chat")
edit_message_id = gr.Number(label="Message ID to Edit", visible=False)
edit_message_text = gr.Textbox(label="Edit Message", visible=False)
update_message_button = gr.Button("Update Message", visible=False)
delete_message_id = gr.Number(label="Message ID to Delete", visible=False)
delete_message_button = gr.Button("Delete Message", visible=False)
chat_media_name = gr.Textbox(label="Custom Chat Name(optional)")
save_chat_history_to_db = gr.Button("Save Chat History to DataBase")
save_chat_history_as_file = gr.Button("Save Chat History as File")
download_file = gr.File(label="Download Chat History")
save_status = gr.Textbox(label="Save Status", interactive=False)
# Restore original functionality
search_button.click(
fn=update_dropdown,
inputs=[search_query_input, search_type_input],
outputs=[items_output, item_mapping]
)
def save_chat_wrapper(history, conversation_id, media_content):
file_path = save_chat_history(history, conversation_id, media_content)
if file_path:
return file_path, f"Chat history saved successfully as {os.path.basename(file_path)}!"
else:
return None, "Error saving chat history. Please check the logs and try again."
save_chat_history_as_file.click(
save_chat_wrapper,
inputs=[chatbot, conversation_id, media_content],
outputs=[download_file, save_status]
)
def update_prompts(preset_name):
prompts = update_user_prompt(preset_name)
return (
gr.update(value=prompts["user_prompt"], visible=True),
gr.update(value=prompts["system_prompt"], visible=True)
)
def clear_chat():
return [], None # Return empty list for chatbot and None for conversation_id
clear_chat_button.click(
clear_chat,
outputs=[chatbot, conversation_id]
)
preset_prompt.change(
update_prompts,
inputs=preset_prompt,
outputs=[user_prompt, system_prompt_input]
)
custom_prompt_checkbox.change(
fn=lambda x: (gr.update(visible=x), gr.update(visible=x)),
inputs=[custom_prompt_checkbox],
outputs=[user_prompt, system_prompt_input]
)
preset_prompt_checkbox.change(
fn=lambda x: gr.update(visible=x),
inputs=[preset_prompt_checkbox],
outputs=[preset_prompt]
)
submit.click(
chat_wrapper,
inputs=[msg, chatbot, media_content, selected_parts, api_endpoint, api_key, user_prompt, conversation_id,
save_conversation, temperature, system_prompt_input],
outputs=[msg, chatbot, conversation_id]
).then( # Clear the message box after submission
lambda x: gr.update(value=""),
inputs=[chatbot],
outputs=[msg]
).then( # Clear the user prompt after the first message
lambda: (gr.update(value=""), gr.update(value="")),
outputs=[user_prompt, system_prompt_input]
)
items_output.change(
update_chat_content,
inputs=[items_output, use_content, use_summary, use_prompt, item_mapping],
outputs=[media_content, selected_parts]
)
use_content.change(update_selected_parts, inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts])
use_summary.change(update_selected_parts, inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts])
use_prompt.change(update_selected_parts, inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts])
items_output.change(debug_output, inputs=[media_content, selected_parts], outputs=[])
search_conversations_btn.click(
search_conversations,
inputs=[conversation_search],
outputs=[previous_conversations]
)
load_conversations_btn.click(
clear_chat,
outputs=[chatbot, chat_history]
).then(
load_conversation,
inputs=[previous_conversations],
outputs=[chatbot, conversation_id]
)
previous_conversations.change(
load_conversation,
inputs=[previous_conversations],
outputs=[chat_history]
)
update_message_button.click(
update_message_in_chat,
inputs=[edit_message_id, edit_message_text, chat_history],
outputs=[chatbot]
)
delete_message_button.click(
delete_message_from_chat,
inputs=[delete_message_id, chat_history],
outputs=[chatbot]
)
save_chat_history_as_file.click(
save_chat_history,
inputs=[chatbot, conversation_id],
outputs=[download_file]
)
save_chat_history_to_db.click(
save_chat_history_to_db_wrapper,
inputs=[chatbot, conversation_id, media_content, chat_media_name],
outputs=[conversation_id, gr.Textbox(label="Save Status")]
)
chatbot.select(show_edit_message, None, [edit_message_text, edit_message_id, update_message_button])
chatbot.select(show_delete_message, None, [delete_message_id, delete_message_button])
def create_chat_interface_stacked():
custom_css = """
.chatbot-container .message-wrap .message {
font-size: 14px !important;
}
"""
with gr.TabItem("Remote LLM Chat - Stacked"):
gr.Markdown("# Stacked Chat")
chat_history = gr.State([])
media_content = gr.State({})
selected_parts = gr.State([])
conversation_id = gr.State(None)
with gr.Row():
with gr.Column():
search_query_input = gr.Textbox(label="Search Query", placeholder="Enter your search query here...")
search_type_input = gr.Radio(choices=["Title", "URL", "Keyword", "Content"], value="Title",
label="Search By")
search_button = gr.Button("Search")
items_output = gr.Dropdown(label="Select Item", choices=[], interactive=True)
item_mapping = gr.State({})
with gr.Row():
use_content = gr.Checkbox(label="Use Content")
use_summary = gr.Checkbox(label="Use Summary")
use_prompt = gr.Checkbox(label="Use Prompt")
save_conversation = gr.Checkbox(label="Save Conversation", value=False, visible=True)
temp = gr.Slider(label="Temperature", minimum=0.00, maximum=1.0, step=0.05, value=0.7)
with gr.Row():
conversation_search = gr.Textbox(label="Search Conversations")
with gr.Row():
previous_conversations = gr.Dropdown(label="Select Conversation", choices=[], interactive=True)
with gr.Row():
search_conversations_btn = gr.Button("Search Conversations")
load_conversations_btn = gr.Button("Load Selected Conversation")
with gr.Column():
api_endpoint = gr.Dropdown(label="Select API Endpoint",
choices=["Local-LLM", "OpenAI", "Anthropic", "Cohere", "Groq", "DeepSeek",
"OpenRouter", "Mistral", "Llama.cpp", "Kobold", "Ooba", "Tabbyapi",
"VLLM", "ollama", "HuggingFace"])
api_key = gr.Textbox(label="API Key (if required)", type="password")
preset_prompt = gr.Dropdown(label="Select Preset Prompt",
choices=load_preset_prompts(),
visible=True)
system_prompt = gr.Textbox(label="System Prompt",
value="You are a helpful AI assistant.",
lines=3,
visible=True)
user_prompt = gr.Textbox(label="Custom User Prompt",
placeholder="Enter custom prompt here",
lines=3,
visible=True)
gr.Markdown("Scroll down for the chat window...")
with gr.Row():
with gr.Column(scale=1):
chatbot = gr.Chatbot(height=600, elem_classes="chatbot-container")
msg = gr.Textbox(label="Enter your message")
with gr.Row():
with gr.Column():
submit = gr.Button("Submit")
clear_chat_button = gr.Button("Clear Chat")
chat_media_name = gr.Textbox(label="Custom Chat Name(optional)", visible=True)
save_chat_history_to_db = gr.Button("Save Chat History to DataBase")
save_chat_history_as_file = gr.Button("Save Chat History as File")
with gr.Column():
download_file = gr.File(label="Download Chat History")
# Restore original functionality
search_button.click(
fn=update_dropdown,
inputs=[search_query_input, search_type_input],
outputs=[items_output, item_mapping]
)
def update_prompts(preset_name):
prompts = update_user_prompt(preset_name)
return (
gr.update(value=prompts["user_prompt"], visible=True),
gr.update(value=prompts["system_prompt"], visible=True)
)
clear_chat_button.click(
clear_chat,
outputs=[chatbot, conversation_id]
)
preset_prompt.change(
update_prompts,
inputs=preset_prompt,
outputs=[user_prompt, system_prompt]
)
submit.click(
chat_wrapper,
inputs=[msg, chatbot, media_content, selected_parts, api_endpoint, api_key, user_prompt,
conversation_id, save_conversation, temp, system_prompt],
outputs=[msg, chatbot, conversation_id]
).then( # Clear the message box after submission
lambda x: gr.update(value=""),
inputs=[chatbot],
outputs=[msg]
).then( # Clear the user prompt after the first message
lambda: gr.update(value=""),
outputs=[user_prompt, system_prompt]
)
items_output.change(
update_chat_content,
inputs=[items_output, use_content, use_summary, use_prompt, item_mapping],
outputs=[media_content, selected_parts]
)
use_content.change(update_selected_parts, inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts])
use_summary.change(update_selected_parts, inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts])
use_prompt.change(update_selected_parts, inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts])
items_output.change(debug_output, inputs=[media_content, selected_parts], outputs=[])
search_conversations_btn.click(
search_conversations,
inputs=[conversation_search],
outputs=[previous_conversations]
)
load_conversations_btn.click(
clear_chat,
outputs=[chatbot, chat_history]
).then(
load_conversation,
inputs=[previous_conversations],
outputs=[chatbot, conversation_id]
)
previous_conversations.change(
load_conversation,
inputs=[previous_conversations],
outputs=[chat_history]
)
save_chat_history_as_file.click(
save_chat_history,
inputs=[chatbot, conversation_id],
outputs=[download_file]
)
save_chat_history_to_db.click(
save_chat_history_to_db_wrapper,
inputs=[chatbot, conversation_id, media_content, chat_media_name],
outputs=[conversation_id, gr.Textbox(label="Save Status")]
)
# FIXME - System prompts
def create_chat_interface_multi_api():
custom_css = """
.chatbot-container .message-wrap .message {
font-size: 14px !important;
}
.chat-window {
height: 400px;
overflow-y: auto;
}
"""
with gr.TabItem("One Prompt - Multiple APIs"):
gr.Markdown("# One Prompt but Multiple API Chat Interface")
with gr.Row():
with gr.Column(scale=1):
search_query_input = gr.Textbox(label="Search Query", placeholder="Enter your search query here...")
search_type_input = gr.Radio(choices=["Title", "URL", "Keyword", "Content"], value="Title",
label="Search By")
search_button = gr.Button("Search")
items_output = gr.Dropdown(label="Select Item", choices=[], interactive=True)
item_mapping = gr.State({})
with gr.Row():
use_content = gr.Checkbox(label="Use Content")
use_summary = gr.Checkbox(label="Use Summary")
use_prompt = gr.Checkbox(label="Use Prompt")
with gr.Column():
preset_prompt = gr.Dropdown(label="Select Preset Prompt", choices=load_preset_prompts(), visible=True)
system_prompt = gr.Textbox(label="System Prompt", value="You are a helpful AI assistant.", lines=5)
user_prompt = gr.Textbox(label="Modify Prompt", lines=5, value=".")
with gr.Row():
chatbots = []
api_endpoints = []
api_keys = []
temperatures = []
for i in range(3):
with gr.Column():
gr.Markdown(f"### Chat Window {i + 1}")
api_endpoint = gr.Dropdown(label=f"API Endpoint {i + 1}",
choices=["Local-LLM", "OpenAI", "Anthropic", "Cohere", "Groq",
"DeepSeek", "Mistral", "OpenRouter", "Llama.cpp", "Kobold",
"Ooba",
"Tabbyapi", "VLLM", "ollama", "HuggingFace"])
api_key = gr.Textbox(label=f"API Key {i + 1} (if required)", type="password")
temperature = gr.Slider(label=f"Temperature {i + 1}", minimum=0.0, maximum=1.0, step=0.05,
value=0.7)
chatbot = gr.Chatbot(height=800, elem_classes="chat-window")
chatbots.append(chatbot)
api_endpoints.append(api_endpoint)
api_keys.append(api_key)
temperatures.append(temperature)
with gr.Row():
msg = gr.Textbox(label="Enter your message", scale=4)
submit = gr.Button("Submit", scale=1)
# FIXME - clear chat
# clear_chat_button = gr.Button("Clear Chat")
#
# clear_chat_button.click(
# clear_chat,
# outputs=[chatbot]
# )
# State variables
chat_history = [gr.State([]) for _ in range(3)]
media_content = gr.State({})
selected_parts = gr.State([])
conversation_id = gr.State(None)
# Event handlers
search_button.click(
fn=update_dropdown,
inputs=[search_query_input, search_type_input],
outputs=[items_output, item_mapping]
)
preset_prompt.change(update_user_prompt, inputs=preset_prompt, outputs=user_prompt)
def chat_wrapper_multi(message, custom_prompt, system_prompt, *args):
chat_histories = args[:3]
chatbots = args[3:6]
api_endpoints = args[6:9]
api_keys = args[9:12]
temperatures = args[12:15]
media_content = args[15]
selected_parts = args[16]
new_chat_histories = []
new_chatbots = []
for i in range(3):
# Call chat_wrapper with dummy values for conversation_id and save_conversation
bot_message, new_history, _ = chat_wrapper(
message, chat_histories[i], media_content, selected_parts,
api_endpoints[i], api_keys[i], custom_prompt, None, # None for conversation_id
False, # False for save_conversation
temperature=temperatures[i],
system_prompt=system_prompt
)
new_chatbot = chatbots[i] + [(message, bot_message)]
new_chat_histories.append(new_history)
new_chatbots.append(new_chatbot)
return [gr.update(value="")] + new_chatbots + new_chat_histories
# In the create_chat_interface_multi_api function:
submit.click(
chat_wrapper_multi,
inputs=[msg, user_prompt,
system_prompt] + chat_history + chatbots + api_endpoints + api_keys + temperatures +
[media_content, selected_parts],
outputs=[msg] + chatbots + chat_history
).then(
lambda: (gr.update(value=""), gr.update(value="")),
outputs=[msg, user_prompt]
)
items_output.change(
update_chat_content,
inputs=[items_output, use_content, use_summary, use_prompt, item_mapping],
outputs=[media_content, selected_parts]
)
for checkbox in [use_content, use_summary, use_prompt]:
checkbox.change(
update_selected_parts,
inputs=[use_content, use_summary, use_prompt],
outputs=[selected_parts]
)
def create_chat_interface_four():
custom_css = """
.chatbot-container .message-wrap .message {
font-size: 14px !important;
}
.chat-window {
height: 400px;
overflow-y: auto;
}
"""
with gr.TabItem("Four Independent API Chats"):
gr.Markdown("# Four Independent API Chat Interfaces")
with gr.Row():
with gr.Column():
preset_prompt = gr.Dropdown(label="Select Preset Prompt", choices=load_preset_prompts(), visible=True)
user_prompt = gr.Textbox(label="Modify Prompt", lines=3, value=".")
with gr.Column():
gr.Markdown("Scroll down for the chat windows...")
chat_interfaces = []
for row in range(2):
with gr.Row():
for col in range(2):
i = row * 2 + col
with gr.Column():
gr.Markdown(f"### Chat Window {i + 1}")
api_endpoint = gr.Dropdown(label=f"API Endpoint {i + 1}",
choices=["Local-LLM", "OpenAI", "Anthropic", "Cohere", "Groq",
"DeepSeek", "Mistral", "OpenRouter", "Llama.cpp", "Kobold",
"Ooba",
"Tabbyapi", "VLLM", "ollama", "HuggingFace"])
api_key = gr.Textbox(label=f"API Key {i + 1} (if required)", type="password")
temperature = gr.Slider(label=f"Temperature {i + 1}", minimum=0.0, maximum=1.0, step=0.05,
value=0.7)
chatbot = gr.Chatbot(height=400, elem_classes="chat-window")
msg = gr.Textbox(label=f"Enter your message for Chat {i + 1}")
submit = gr.Button(f"Submit to Chat {i + 1}")
chat_interfaces.append({
'api_endpoint': api_endpoint,
'api_key': api_key,
'temperature': temperature,
'chatbot': chatbot,
'msg': msg,
'submit': submit,
'chat_history': gr.State([])
})
preset_prompt.change(update_user_prompt, inputs=preset_prompt, outputs=user_prompt)
def chat_wrapper_single(message, chat_history, api_endpoint, api_key, temperature, user_prompt):
logging.debug(f"Chat Wrapper Single - Message: {message}, Chat History: {chat_history}")
new_msg, new_history, _ = chat_wrapper(
message, chat_history, {}, [], # Empty media_content and selected_parts
api_endpoint, api_key, user_prompt, None, # No conversation_id
False, # Not saving conversation
temperature=temperature, system_prompt=""
)
chat_history.append((message, new_msg))
return "", chat_history, chat_history
for interface in chat_interfaces:
logging.debug(f"Chat Interface - Clicked Submit for Chat {interface['chatbot']}"),
interface['submit'].click(
chat_wrapper_single,
inputs=[
interface['msg'],
interface['chat_history'],
interface['api_endpoint'],
interface['api_key'],
interface['temperature'],
user_prompt
],
outputs=[
interface['msg'],
interface['chatbot'],
interface['chat_history']
]
)
def chat_wrapper_single(message, chat_history, chatbot, api_endpoint, api_key, temperature, media_content,
selected_parts, conversation_id, save_conversation, user_prompt):
new_msg, new_history, new_conv_id = chat_wrapper(
message, chat_history, media_content, selected_parts,
api_endpoint, api_key, user_prompt, conversation_id,
save_conversation, temperature, system_prompt=""
)
if new_msg:
updated_chatbot = chatbot + [(message, new_msg)]
else:
updated_chatbot = chatbot
return new_msg, updated_chatbot, new_history, new_conv_id
# FIXME - Finish implementing functions + testing/valdidation
def create_chat_management_tab():
with gr.TabItem("Chat Management"):
gr.Markdown("# Chat Management")
with gr.Row():
search_query = gr.Textbox(label="Search Conversations")
search_button = gr.Button("Search")
conversation_list = gr.Dropdown(label="Select Conversation", choices=[])
conversation_mapping = gr.State({})
with gr.Tabs():
with gr.TabItem("Edit"):
chat_content = gr.TextArea(label="Chat Content (JSON)", lines=20, max_lines=50)
save_button = gr.Button("Save Changes")
delete_button = gr.Button("Delete Conversation", variant="stop")
with gr.TabItem("Preview"):
chat_preview = gr.HTML(label="Chat Preview")
result_message = gr.Markdown("")
def search_conversations(query):
conversations = search_chat_conversations(query)
choices = [f"{conv['conversation_name']} (Media: {conv['media_title']}, ID: {conv['id']})" for conv in
conversations]
mapping = {choice: conv['id'] for choice, conv in zip(choices, conversations)}
return gr.update(choices=choices), mapping
def load_conversations(selected, conversation_mapping):
logging.info(f"Selected: {selected}")
logging.info(f"Conversation mapping: {conversation_mapping}")
try:
if selected and selected in conversation_mapping:
conversation_id = conversation_mapping[selected]
messages = get_chat_messages(conversation_id)
conversation_data = {
"conversation_id": conversation_id,
"messages": messages
}
json_content = json.dumps(conversation_data, indent=2)
# Create HTML preview
html_preview = "<div style='max-height: 500px; overflow-y: auto;'>"
for msg in messages:
sender_style = "background-color: #e6f3ff;" if msg[
'sender'] == 'user' else "background-color: #f0f0f0;"
html_preview += f"<div style='margin-bottom: 10px; padding: 10px; border-radius: 5px; {sender_style}'>"
html_preview += f"<strong>{msg['sender']}:</strong> {html.escape(msg['message'])}<br>"
html_preview += f"<small>Timestamp: {msg['timestamp']}</small>"
html_preview += "</div>"
html_preview += "</div>"
logging.info("Returning json_content and html_preview")
return json_content, html_preview
else:
logging.warning("No conversation selected or not in mapping")
return "", "<p>No conversation selected</p>"
except Exception as e:
logging.error(f"Error in load_conversations: {str(e)}")
return f"Error: {str(e)}", "<p>Error loading conversation</p>"
def validate_conversation_json(content):
try:
data = json.loads(content)
if not isinstance(data, dict):
return False, "Invalid JSON structure: root should be an object"
if "conversation_id" not in data or not isinstance(data["conversation_id"], int):
return False, "Missing or invalid conversation_id"
if "messages" not in data or not isinstance(data["messages"], list):
return False, "Missing or invalid messages array"
for msg in data["messages"]:
if not all(key in msg for key in ["sender", "message"]):
return False, "Invalid message structure: missing required fields"
return True, data
except json.JSONDecodeError as e:
return False, f"Invalid JSON: {str(e)}"
def save_conversation(selected, conversation_mapping, content):
if not selected or selected not in conversation_mapping:
return "Please select a conversation before saving.", "<p>No changes made</p>"
conversation_id = conversation_mapping[selected]
is_valid, result = validate_conversation_json(content)
if not is_valid:
return f"Error: {result}", "<p>No changes made due to error</p>"
conversation_data = result
if conversation_data["conversation_id"] != conversation_id:
return "Error: Conversation ID mismatch.", "<p>No changes made due to ID mismatch</p>"
try:
with db.get_connection() as conn:
conn.execute("BEGIN TRANSACTION")
cursor = conn.cursor()
# Backup original conversation
cursor.execute("SELECT * FROM ChatMessages WHERE conversation_id = ?", (conversation_id,))
original_messages = cursor.fetchall()
backup_data = json.dumps({"conversation_id": conversation_id, "messages": original_messages})
# You might want to save this backup_data somewhere
# Delete existing messages
cursor.execute("DELETE FROM ChatMessages WHERE conversation_id = ?", (conversation_id,))
# Insert updated messages
for message in conversation_data["messages"]:
cursor.execute('''
INSERT INTO ChatMessages (conversation_id, sender, message, timestamp)
VALUES (?, ?, ?, COALESCE(?, CURRENT_TIMESTAMP))
''', (conversation_id, message["sender"], message["message"], message.get("timestamp")))
conn.commit()
# Create updated HTML preview
html_preview = "<div style='max-height: 500px; overflow-y: auto;'>"
for msg in conversation_data["messages"]:
sender_style = "background-color: #e6f3ff;" if msg[
'sender'] == 'user' else "background-color: #f0f0f0;"
html_preview += f"<div style='margin-bottom: 10px; padding: 10px; border-radius: 5px; {sender_style}'>"
html_preview += f"<strong>{msg['sender']}:</strong> {html.escape(msg['message'])}<br>"
html_preview += f"<small>Timestamp: {msg.get('timestamp', 'N/A')}</small>"
html_preview += "</div>"
html_preview += "</div>"
return "Conversation updated successfully.", html_preview
except sqlite3.Error as e:
conn.rollback()
logging.error(f"Database error in save_conversation: {e}")
return f"Error updating conversation: {str(e)}", "<p>Error occurred while saving</p>"
except Exception as e:
conn.rollback()
logging.error(f"Unexpected error in save_conversation: {e}")
return f"Unexpected error: {str(e)}", "<p>Unexpected error occurred</p>"
def delete_conversation(selected, conversation_mapping):
if not selected or selected not in conversation_mapping:
return "Please select a conversation before deleting.", "<p>No changes made</p>", gr.update(choices=[])
conversation_id = conversation_mapping[selected]
try:
with db.get_connection() as conn:
cursor = conn.cursor()
# Delete messages associated with the conversation
cursor.execute("DELETE FROM ChatMessages WHERE conversation_id = ?", (conversation_id,))
# Delete the conversation itself
cursor.execute("DELETE FROM ChatConversations WHERE id = ?", (conversation_id,))
conn.commit()
# Update the conversation list
remaining_conversations = [choice for choice in conversation_mapping.keys() if choice != selected]
updated_mapping = {choice: conversation_mapping[choice] for choice in remaining_conversations}
return "Conversation deleted successfully.", "<p>Conversation deleted</p>", gr.update(choices=remaining_conversations)
except sqlite3.Error as e:
conn.rollback()
logging.error(f"Database error in delete_conversation: {e}")
return f"Error deleting conversation: {str(e)}", "<p>Error occurred while deleting</p>", gr.update()
except Exception as e:
conn.rollback()
logging.error(f"Unexpected error in delete_conversation: {e}")
return f"Unexpected error: {str(e)}", "<p>Unexpected error occurred</p>", gr.update()
def parse_formatted_content(formatted_content):
lines = formatted_content.split('\n')
conversation_id = int(lines[0].split(': ')[1])
timestamp = lines[1].split(': ')[1]
history = []
current_role = None
current_content = None
for line in lines[3:]:
if line.startswith("Role: "):
if current_role is not None:
history.append({"role": current_role, "content": ["", current_content]})
current_role = line.split(': ')[1]
elif line.startswith("Content: "):
current_content = line.split(': ', 1)[1]
if current_role is not None:
history.append({"role": current_role, "content": ["", current_content]})
return json.dumps({
"conversation_id": conversation_id,
"timestamp": timestamp,
"history": history
}, indent=2)
search_button.click(
search_conversations,
inputs=[search_query],
outputs=[conversation_list, conversation_mapping]
)
conversation_list.change(
load_conversations,
inputs=[conversation_list, conversation_mapping],
outputs=[chat_content, chat_preview]
)
save_button.click(
save_conversation,
inputs=[conversation_list, conversation_mapping, chat_content],
outputs=[result_message, chat_preview]
)
delete_button.click(
delete_conversation,
inputs=[conversation_list, conversation_mapping],
outputs=[result_message, chat_preview, conversation_list]
)
return search_query, search_button, conversation_list, conversation_mapping, chat_content, save_button, delete_button, result_message, chat_preview
# Mock function to simulate LLM processing
def process_with_llm(workflow, context, prompt, api_endpoint, api_key):
api_key_snippet = api_key[:5] + "..." if api_key else "Not provided"
return f"LLM output using {api_endpoint} (API Key: {api_key_snippet}) for {workflow} with context: {context[:30]}... and prompt: {prompt[:30]}..."
#
# End of Chat_ui.py
####################################################################################################################### |