mirror of
https://github.com/imartinez/privateGPT.git
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addes UI changes for MTU
This commit is contained in:
Dev Sanghani
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.gitignore
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@@ -29,3 +29,4 @@ __pycache__/
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# macOS
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.DS_Store
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nohup.out
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private_gpt/ui/avatar-bot.svg
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private_gpt/ui/avatar-bot.svg
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private_gpt/ui/images copy.py
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private_gpt/ui/images copy.py
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private_gpt/ui/images_icon.py
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private_gpt/ui/images_icon.py
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avatar_svg = "data:image/svg+xml;base64,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"
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BIN
private_gpt/ui/logo.png
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private_gpt/ui/logo.png
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"""This file should be imported only and only if you want to run the UI locally."""
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import itertools
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import logging
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import time
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from collections.abc import Iterable
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from pathlib import Path
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from typing import Any
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import gradio as gr # type: ignore
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from fastapi import FastAPI
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from gradio.themes.utils.colors import slate # type: ignore
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from injector import inject, singleton
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from llama_index.core.llms import ChatMessage, ChatResponse, MessageRole
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from pydantic import BaseModel
|
||||
|
||||
from private_gpt.constants import PROJECT_ROOT_PATH
|
||||
from private_gpt.di import global_injector
|
||||
from private_gpt.open_ai.extensions.context_filter import ContextFilter
|
||||
from private_gpt.server.chat.chat_service import ChatService, CompletionGen
|
||||
from private_gpt.server.chunks.chunks_service import Chunk, ChunksService
|
||||
from private_gpt.server.ingest.ingest_service import IngestService
|
||||
from private_gpt.settings.settings import settings
|
||||
from private_gpt.ui.images import logo_svg
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
THIS_DIRECTORY_RELATIVE = Path(__file__).parent.relative_to(PROJECT_ROOT_PATH)
|
||||
# Should be "private_gpt/ui/avatar-bot.ico"
|
||||
AVATAR_BOT = THIS_DIRECTORY_RELATIVE / "avatar-bot.ico"
|
||||
|
||||
UI_TAB_TITLE = "My Private GPT"
|
||||
|
||||
SOURCES_SEPARATOR = "\n\n Sources: \n"
|
||||
|
||||
MODES = ["Query Files", "Search Files", "LLM Chat (no context from files)"]
|
||||
|
||||
|
||||
class Source(BaseModel):
|
||||
file: str
|
||||
page: str
|
||||
text: str
|
||||
|
||||
class Config:
|
||||
frozen = True
|
||||
|
||||
@staticmethod
|
||||
def curate_sources(sources: list[Chunk]) -> list["Source"]:
|
||||
curated_sources = []
|
||||
|
||||
for chunk in sources:
|
||||
doc_metadata = chunk.document.doc_metadata
|
||||
|
||||
file_name = doc_metadata.get("file_name", "-") if doc_metadata else "-"
|
||||
page_label = doc_metadata.get("page_label", "-") if doc_metadata else "-"
|
||||
|
||||
source = Source(file=file_name, page=page_label, text=chunk.text)
|
||||
curated_sources.append(source)
|
||||
curated_sources = list(
|
||||
dict.fromkeys(curated_sources).keys()
|
||||
) # Unique sources only
|
||||
|
||||
return curated_sources
|
||||
|
||||
|
||||
@singleton
|
||||
class PrivateGptUi:
|
||||
@inject
|
||||
def __init__(
|
||||
self,
|
||||
ingest_service: IngestService,
|
||||
chat_service: ChatService,
|
||||
chunks_service: ChunksService,
|
||||
) -> None:
|
||||
self._ingest_service = ingest_service
|
||||
self._chat_service = chat_service
|
||||
self._chunks_service = chunks_service
|
||||
|
||||
# Cache the UI blocks
|
||||
self._ui_block = None
|
||||
|
||||
self._selected_filename = None
|
||||
|
||||
# Initialize system prompt based on default mode
|
||||
self.mode = MODES[0]
|
||||
self._system_prompt = self._get_default_system_prompt(self.mode)
|
||||
|
||||
def _chat(self, message: str, history: list[list[str]], mode: str, *_: Any) -> Any:
|
||||
def yield_deltas(completion_gen: CompletionGen) -> Iterable[str]:
|
||||
full_response: str = ""
|
||||
stream = completion_gen.response
|
||||
for delta in stream:
|
||||
if isinstance(delta, str):
|
||||
full_response += str(delta)
|
||||
elif isinstance(delta, ChatResponse):
|
||||
full_response += delta.delta or ""
|
||||
yield full_response
|
||||
time.sleep(0.02)
|
||||
|
||||
if completion_gen.sources:
|
||||
full_response += SOURCES_SEPARATOR
|
||||
cur_sources = Source.curate_sources(completion_gen.sources)
|
||||
sources_text = "\n\n\n"
|
||||
used_files = set()
|
||||
for index, source in enumerate(cur_sources, start=1):
|
||||
if (source.file + "-" + source.page) not in used_files:
|
||||
sources_text = (
|
||||
sources_text
|
||||
+ f"{index}. {source.file} (page {source.page}) \n\n"
|
||||
)
|
||||
used_files.add(source.file + "-" + source.page)
|
||||
full_response += sources_text
|
||||
yield full_response
|
||||
|
||||
def build_history() -> list[ChatMessage]:
|
||||
history_messages: list[ChatMessage] = list(
|
||||
itertools.chain(
|
||||
*[
|
||||
[
|
||||
ChatMessage(content=interaction[0], role=MessageRole.USER),
|
||||
ChatMessage(
|
||||
# Remove from history content the Sources information
|
||||
content=interaction[1].split(SOURCES_SEPARATOR)[0],
|
||||
role=MessageRole.ASSISTANT,
|
||||
),
|
||||
]
|
||||
for interaction in history
|
||||
]
|
||||
)
|
||||
)
|
||||
|
||||
# max 20 messages to try to avoid context overflow
|
||||
return history_messages[:20]
|
||||
|
||||
new_message = ChatMessage(content=message, role=MessageRole.USER)
|
||||
all_messages = [*build_history(), new_message]
|
||||
# If a system prompt is set, add it as a system message
|
||||
if self._system_prompt:
|
||||
all_messages.insert(
|
||||
0,
|
||||
ChatMessage(
|
||||
content=self._system_prompt,
|
||||
role=MessageRole.SYSTEM,
|
||||
),
|
||||
)
|
||||
match mode:
|
||||
case "Query Files":
|
||||
|
||||
# Use only the selected file for the query
|
||||
context_filter = None
|
||||
if self._selected_filename is not None:
|
||||
docs_ids = []
|
||||
for ingested_document in self._ingest_service.list_ingested():
|
||||
if (
|
||||
ingested_document.doc_metadata["file_name"]
|
||||
== self._selected_filename
|
||||
):
|
||||
docs_ids.append(ingested_document.doc_id)
|
||||
context_filter = ContextFilter(docs_ids=docs_ids)
|
||||
|
||||
query_stream = self._chat_service.stream_chat(
|
||||
messages=all_messages,
|
||||
use_context=True,
|
||||
context_filter=context_filter,
|
||||
)
|
||||
yield from yield_deltas(query_stream)
|
||||
case "LLM Chat (no context from files)":
|
||||
llm_stream = self._chat_service.stream_chat(
|
||||
messages=all_messages,
|
||||
use_context=False,
|
||||
)
|
||||
yield from yield_deltas(llm_stream)
|
||||
|
||||
case "Search Files":
|
||||
response = self._chunks_service.retrieve_relevant(
|
||||
text=message, limit=4, prev_next_chunks=0
|
||||
)
|
||||
|
||||
sources = Source.curate_sources(response)
|
||||
|
||||
yield "\n\n\n".join(
|
||||
f"{index}. **{source.file} "
|
||||
f"(page {source.page})**\n "
|
||||
f"{source.text}"
|
||||
for index, source in enumerate(sources, start=1)
|
||||
)
|
||||
|
||||
# On initialization and on mode change, this function set the system prompt
|
||||
# to the default prompt based on the mode (and user settings).
|
||||
@staticmethod
|
||||
def _get_default_system_prompt(mode: str) -> str:
|
||||
p = ""
|
||||
match mode:
|
||||
# For query chat mode, obtain default system prompt from settings
|
||||
case "Query Files":
|
||||
p = settings().ui.default_query_system_prompt
|
||||
# For chat mode, obtain default system prompt from settings
|
||||
case "LLM Chat (no context from files)":
|
||||
p = settings().ui.default_chat_system_prompt
|
||||
# For any other mode, clear the system prompt
|
||||
case _:
|
||||
p = ""
|
||||
return p
|
||||
|
||||
def _set_system_prompt(self, system_prompt_input: str) -> None:
|
||||
logger.info(f"Setting system prompt to: {system_prompt_input}")
|
||||
self._system_prompt = system_prompt_input
|
||||
|
||||
def _set_current_mode(self, mode: str) -> Any:
|
||||
self.mode = mode
|
||||
self._set_system_prompt(self._get_default_system_prompt(mode))
|
||||
# Update placeholder and allow interaction if default system prompt is set
|
||||
if self._system_prompt:
|
||||
return gr.update(placeholder=self._system_prompt, interactive=True)
|
||||
# Update placeholder and disable interaction if no default system prompt is set
|
||||
else:
|
||||
return gr.update(placeholder=self._system_prompt, interactive=False)
|
||||
|
||||
def _list_ingested_files(self) -> list[list[str]]:
|
||||
files = set()
|
||||
for ingested_document in self._ingest_service.list_ingested():
|
||||
if ingested_document.doc_metadata is None:
|
||||
# Skipping documents without metadata
|
||||
continue
|
||||
file_name = ingested_document.doc_metadata.get(
|
||||
"file_name", "[FILE NAME MISSING]"
|
||||
)
|
||||
files.add(file_name)
|
||||
return [[row] for row in files]
|
||||
|
||||
def _upload_file(self, files: list[str]) -> None:
|
||||
logger.debug("Loading count=%s files", len(files))
|
||||
paths = [Path(file) for file in files]
|
||||
|
||||
# remove all existing Documents with name identical to a new file upload:
|
||||
file_names = [path.name for path in paths]
|
||||
doc_ids_to_delete = []
|
||||
for ingested_document in self._ingest_service.list_ingested():
|
||||
if (
|
||||
ingested_document.doc_metadata
|
||||
and ingested_document.doc_metadata["file_name"] in file_names
|
||||
):
|
||||
doc_ids_to_delete.append(ingested_document.doc_id)
|
||||
if len(doc_ids_to_delete) > 0:
|
||||
logger.info(
|
||||
"Uploading file(s) which were already ingested: %s document(s) will be replaced.",
|
||||
len(doc_ids_to_delete),
|
||||
)
|
||||
for doc_id in doc_ids_to_delete:
|
||||
self._ingest_service.delete(doc_id)
|
||||
|
||||
self._ingest_service.bulk_ingest([(str(path.name), path) for path in paths])
|
||||
|
||||
def _delete_all_files(self) -> Any:
|
||||
ingested_files = self._ingest_service.list_ingested()
|
||||
logger.debug("Deleting count=%s files", len(ingested_files))
|
||||
for ingested_document in ingested_files:
|
||||
self._ingest_service.delete(ingested_document.doc_id)
|
||||
return [
|
||||
gr.List(self._list_ingested_files()),
|
||||
gr.components.Button(interactive=False),
|
||||
gr.components.Button(interactive=False),
|
||||
gr.components.Textbox("All files"),
|
||||
]
|
||||
|
||||
def _delete_selected_file(self) -> Any:
|
||||
logger.debug("Deleting selected %s", self._selected_filename)
|
||||
# Note: keep looping for pdf's (each page became a Document)
|
||||
for ingested_document in self._ingest_service.list_ingested():
|
||||
if (
|
||||
ingested_document.doc_metadata
|
||||
and ingested_document.doc_metadata["file_name"]
|
||||
== self._selected_filename
|
||||
):
|
||||
self._ingest_service.delete(ingested_document.doc_id)
|
||||
return [
|
||||
gr.List(self._list_ingested_files()),
|
||||
gr.components.Button(interactive=False),
|
||||
gr.components.Button(interactive=False),
|
||||
gr.components.Textbox("All files"),
|
||||
]
|
||||
|
||||
def _deselect_selected_file(self) -> Any:
|
||||
self._selected_filename = None
|
||||
return [
|
||||
gr.components.Button(interactive=False),
|
||||
gr.components.Button(interactive=False),
|
||||
gr.components.Textbox("All files"),
|
||||
]
|
||||
|
||||
def _selected_a_file(self, select_data: gr.SelectData) -> Any:
|
||||
self._selected_filename = select_data.value
|
||||
return [
|
||||
gr.components.Button(interactive=True),
|
||||
gr.components.Button(interactive=True),
|
||||
gr.components.Textbox(self._selected_filename),
|
||||
]
|
||||
|
||||
def _build_ui_blocks(self) -> gr.Blocks:
|
||||
logger.debug("Creating the UI blocks")
|
||||
with gr.Blocks(
|
||||
title=UI_TAB_TITLE,
|
||||
theme=gr.themes.Soft(primary_hue=slate),
|
||||
css=".logo { "
|
||||
"display:flex;"
|
||||
"background-color: #C7BAFF;"
|
||||
"height: 80px;"
|
||||
"border-radius: 8px;"
|
||||
"align-content: center;"
|
||||
"justify-content: center;"
|
||||
"align-items: center;"
|
||||
"}"
|
||||
".logo img { height: 25% }"
|
||||
".contain { display: flex !important; flex-direction: column !important; }"
|
||||
"#component-0, #component-3, #component-10, #component-8 { height: 100% !important; }"
|
||||
"#chatbot { flex-grow: 1 !important; overflow: auto !important;}"
|
||||
"#col { height: calc(100vh - 112px - 16px) !important; }",
|
||||
) as blocks:
|
||||
with gr.Row():
|
||||
gr.HTML(f"<div class='logo'/><img src={logo_svg} alt=PrivateGPT></div")
|
||||
|
||||
with gr.Row(equal_height=False):
|
||||
with gr.Column(scale=3):
|
||||
mode = gr.Radio(
|
||||
MODES,
|
||||
label="Mode",
|
||||
value="Query Files",
|
||||
)
|
||||
upload_button = gr.components.UploadButton(
|
||||
"Upload File(s)",
|
||||
type="filepath",
|
||||
file_count="multiple",
|
||||
size="sm",
|
||||
)
|
||||
ingested_dataset = gr.List(
|
||||
self._list_ingested_files,
|
||||
headers=["File name"],
|
||||
label="Ingested Files",
|
||||
height=235,
|
||||
interactive=False,
|
||||
render=False, # Rendered under the button
|
||||
)
|
||||
upload_button.upload(
|
||||
self._upload_file,
|
||||
inputs=upload_button,
|
||||
outputs=ingested_dataset,
|
||||
)
|
||||
ingested_dataset.change(
|
||||
self._list_ingested_files,
|
||||
outputs=ingested_dataset,
|
||||
)
|
||||
ingested_dataset.render()
|
||||
deselect_file_button = gr.components.Button(
|
||||
"De-select selected file", size="sm", interactive=False
|
||||
)
|
||||
selected_text = gr.components.Textbox(
|
||||
"All files", label="Selected for Query or Deletion", max_lines=1
|
||||
)
|
||||
delete_file_button = gr.components.Button(
|
||||
"🗑️ Delete selected file",
|
||||
size="sm",
|
||||
visible=settings().ui.delete_file_button_enabled,
|
||||
interactive=False,
|
||||
)
|
||||
delete_files_button = gr.components.Button(
|
||||
"⚠️ Delete ALL files",
|
||||
size="sm",
|
||||
visible=settings().ui.delete_all_files_button_enabled,
|
||||
)
|
||||
deselect_file_button.click(
|
||||
self._deselect_selected_file,
|
||||
outputs=[
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
ingested_dataset.select(
|
||||
fn=self._selected_a_file,
|
||||
outputs=[
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
delete_file_button.click(
|
||||
self._delete_selected_file,
|
||||
outputs=[
|
||||
ingested_dataset,
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
delete_files_button.click(
|
||||
self._delete_all_files,
|
||||
outputs=[
|
||||
ingested_dataset,
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
system_prompt_input = gr.Textbox(
|
||||
placeholder=self._system_prompt,
|
||||
label="System Prompt",
|
||||
lines=2,
|
||||
interactive=True,
|
||||
render=False,
|
||||
)
|
||||
# When mode changes, set default system prompt
|
||||
mode.change(
|
||||
self._set_current_mode, inputs=mode, outputs=system_prompt_input
|
||||
)
|
||||
# On blur, set system prompt to use in queries
|
||||
system_prompt_input.blur(
|
||||
self._set_system_prompt,
|
||||
inputs=system_prompt_input,
|
||||
)
|
||||
|
||||
with gr.Column(scale=7, elem_id="col"):
|
||||
_ = gr.ChatInterface(
|
||||
self._chat,
|
||||
chatbot=gr.Chatbot(
|
||||
label=f"LLM: {settings().llm.mode}",
|
||||
show_copy_button=True,
|
||||
elem_id="chatbot",
|
||||
render=False,
|
||||
avatar_images=(
|
||||
None,
|
||||
AVATAR_BOT,
|
||||
),
|
||||
),
|
||||
additional_inputs=[mode, upload_button, system_prompt_input],
|
||||
)
|
||||
return blocks
|
||||
|
||||
def get_ui_blocks(self) -> gr.Blocks:
|
||||
if self._ui_block is None:
|
||||
self._ui_block = self._build_ui_blocks()
|
||||
return self._ui_block
|
||||
|
||||
def mount_in_app(self, app: FastAPI, path: str) -> None:
|
||||
blocks = self.get_ui_blocks()
|
||||
blocks.queue()
|
||||
logger.info("Mounting the gradio UI, at path=%s", path)
|
||||
gr.mount_gradio_app(app, blocks, path=path)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
ui = global_injector.get(PrivateGptUi)
|
||||
_blocks = ui.get_ui_blocks()
|
||||
_blocks.queue()
|
||||
_blocks.launch(debug=False, show_api=False)
|
||||
@@ -22,6 +22,7 @@ from private_gpt.server.chunks.chunks_service import Chunk, ChunksService
|
||||
from private_gpt.server.ingest.ingest_service import IngestService
|
||||
from private_gpt.settings.settings import settings
|
||||
from private_gpt.ui.images import logo_svg
|
||||
from private_gpt.ui.images_icon import avatar_svg
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -86,6 +87,8 @@ class PrivateGptUi:
|
||||
self._system_prompt = self._get_default_system_prompt(self.mode)
|
||||
|
||||
def _chat(self, message: str, history: list[list[str]], mode: str, *_: Any) -> Any:
|
||||
# Modify the _chat method to set the mode to "Query Docs" by default
|
||||
mode = "Query Docs"
|
||||
def yield_deltas(completion_gen: CompletionGen) -> Iterable[str]:
|
||||
full_response: str = ""
|
||||
stream = completion_gen.response
|
||||
@@ -96,20 +99,21 @@ class PrivateGptUi:
|
||||
full_response += delta.delta or ""
|
||||
yield full_response
|
||||
time.sleep(0.02)
|
||||
|
||||
if completion_gen.sources:
|
||||
full_response += SOURCES_SEPARATOR
|
||||
cur_sources = Source.curate_sources(completion_gen.sources)
|
||||
sources_text = "\n\n\n"
|
||||
used_files = set()
|
||||
for index, source in enumerate(cur_sources, start=1):
|
||||
if (source.file + "-" + source.page) not in used_files:
|
||||
sources_text = (
|
||||
sources_text
|
||||
+ f"{index}. {source.file} (page {source.page}) \n\n"
|
||||
)
|
||||
used_files.add(source.file + "-" + source.page)
|
||||
full_response += sources_text
|
||||
|
||||
#commented the display sources method.
|
||||
#if completion_gen.sources:
|
||||
# full_response += SOURCES_SEPARATOR
|
||||
# cur_sources = Source.curate_sources(completion_gen.sources)
|
||||
# sources_text = "\n\n\n"
|
||||
# used_files = set()
|
||||
# for index, source in enumerate(cur_sources, start=1):
|
||||
# if (source.file + "-" + source.page) not in used_files:
|
||||
# sources_text = (
|
||||
# sources_text
|
||||
# + f"{index}. {source.file} (page {source.page}) \n\n"
|
||||
# )
|
||||
# used_files.add(source.file + "-" + source.page)
|
||||
# full_response += sources_text
|
||||
yield full_response
|
||||
|
||||
def build_history() -> list[ChatMessage]:
|
||||
@@ -301,122 +305,133 @@ class PrivateGptUi:
|
||||
with gr.Blocks(
|
||||
title=UI_TAB_TITLE,
|
||||
theme=gr.themes.Soft(primary_hue=slate),
|
||||
css=".logo { "
|
||||
"display:flex;"
|
||||
"background-color: #C7BAFF;"
|
||||
"height: 80px;"
|
||||
"border-radius: 8px;"
|
||||
"align-content: center;"
|
||||
"justify-content: center;"
|
||||
"align-items: center;"
|
||||
"}"
|
||||
".logo img { height: 25% }"
|
||||
".contain { display: flex !important; flex-direction: column !important; }"
|
||||
"#component-0, #component-3, #component-10, #component-8 { height: 100% !important; }"
|
||||
"#chatbot { flex-grow: 1 !important; overflow: auto !important;}"
|
||||
"#col { height: calc(100vh - 112px - 16px) !important; }",
|
||||
css="""footer {visibility: hidden}
|
||||
<head>
|
||||
<title>MTU Teaching Assistant</title>
|
||||
<link rel="icon" type="image/png" href={avatar_svg}>
|
||||
</head>
|
||||
.title {
|
||||
white-space: pre; /* This preserves whitespace as is */}
|
||||
.logo {
|
||||
display:flex;
|
||||
background-color: #000000;
|
||||
height: 80px;
|
||||
border-radius: 8px;
|
||||
align-content: center;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
}
|
||||
.logo img { height: 25% }
|
||||
.contain { display: flex !important; flex-direction: column !important; }"
|
||||
#component-0, #component-3, #component-10, #component-8 { height: 100% !important; }
|
||||
#chatbot { flex-grow: 1 !important; overflow: auto !important;}
|
||||
#col { height: calc(100vh - 112px - 16px) !important; }
|
||||
""",
|
||||
|
||||
|
||||
) as blocks:
|
||||
with gr.Row():
|
||||
gr.HTML(f"<div class='logo'/><img src={logo_svg} alt=PrivateGPT></div")
|
||||
gr.HTML(f"<div class='logo'/><img src={logo_svg} alt=MTU Teaching Assistant></div"),
|
||||
gr.HTML(f"<head><link rel='icon' type='image/png' href={avatar_svg}></head")
|
||||
|
||||
with gr.Row(equal_height=False):
|
||||
with gr.Column(scale=3):
|
||||
mode = gr.Radio(
|
||||
MODES,
|
||||
label="Mode",
|
||||
value="Query Files",
|
||||
)
|
||||
upload_button = gr.components.UploadButton(
|
||||
"Upload File(s)",
|
||||
type="filepath",
|
||||
file_count="multiple",
|
||||
size="sm",
|
||||
)
|
||||
ingested_dataset = gr.List(
|
||||
self._list_ingested_files,
|
||||
headers=["File name"],
|
||||
label="Ingested Files",
|
||||
height=235,
|
||||
interactive=False,
|
||||
render=False, # Rendered under the button
|
||||
)
|
||||
upload_button.upload(
|
||||
self._upload_file,
|
||||
inputs=upload_button,
|
||||
outputs=ingested_dataset,
|
||||
)
|
||||
ingested_dataset.change(
|
||||
self._list_ingested_files,
|
||||
outputs=ingested_dataset,
|
||||
)
|
||||
ingested_dataset.render()
|
||||
deselect_file_button = gr.components.Button(
|
||||
"De-select selected file", size="sm", interactive=False
|
||||
)
|
||||
selected_text = gr.components.Textbox(
|
||||
"All files", label="Selected for Query or Deletion", max_lines=1
|
||||
)
|
||||
delete_file_button = gr.components.Button(
|
||||
"🗑️ Delete selected file",
|
||||
size="sm",
|
||||
visible=settings().ui.delete_file_button_enabled,
|
||||
interactive=False,
|
||||
)
|
||||
delete_files_button = gr.components.Button(
|
||||
"⚠️ Delete ALL files",
|
||||
size="sm",
|
||||
visible=settings().ui.delete_all_files_button_enabled,
|
||||
)
|
||||
deselect_file_button.click(
|
||||
self._deselect_selected_file,
|
||||
outputs=[
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
ingested_dataset.select(
|
||||
fn=self._selected_a_file,
|
||||
outputs=[
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
delete_file_button.click(
|
||||
self._delete_selected_file,
|
||||
outputs=[
|
||||
ingested_dataset,
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
delete_files_button.click(
|
||||
self._delete_all_files,
|
||||
outputs=[
|
||||
ingested_dataset,
|
||||
delete_file_button,
|
||||
deselect_file_button,
|
||||
selected_text,
|
||||
],
|
||||
)
|
||||
system_prompt_input = gr.Textbox(
|
||||
placeholder=self._system_prompt,
|
||||
label="System Prompt",
|
||||
lines=2,
|
||||
interactive=True,
|
||||
render=False,
|
||||
)
|
||||
# When mode changes, set default system prompt
|
||||
mode.change(
|
||||
self._set_current_mode, inputs=mode, outputs=system_prompt_input
|
||||
)
|
||||
# On blur, set system prompt to use in queries
|
||||
system_prompt_input.blur(
|
||||
self._set_system_prompt,
|
||||
inputs=system_prompt_input,
|
||||
)
|
||||
|
||||
# with gr.Row(equal_height=False):
|
||||
# with gr.Column(scale=3):
|
||||
# mode = gr.Radio(
|
||||
# MODES,
|
||||
# label="Mode",
|
||||
# value="Query Files",
|
||||
# )
|
||||
# upload_button = gr.components.UploadButton(
|
||||
# "Upload File(s)",
|
||||
# type="filepath",
|
||||
# file_count="multiple",
|
||||
# size="sm",
|
||||
# )
|
||||
# ingested_dataset = gr.List(
|
||||
# self._list_ingested_files,
|
||||
# headers=["File name"],
|
||||
# label="Ingested Files",
|
||||
# height=235,
|
||||
# interactive=False,
|
||||
# render=False, # Rendered under the button
|
||||
# )
|
||||
# upload_button.upload(
|
||||
# self._upload_file,
|
||||
# inputs=upload_button,
|
||||
# outputs=ingested_dataset,
|
||||
# )
|
||||
# ingested_dataset.change(
|
||||
# self._list_ingested_files,
|
||||
# outputs=ingested_dataset,
|
||||
# )
|
||||
# ingested_dataset.render()
|
||||
# deselect_file_button = gr.components.Button(
|
||||
# "De-select selected file", size="sm", interactive=False
|
||||
# )
|
||||
# selected_text = gr.components.Textbox(
|
||||
# "All files", label="Selected for Query or Deletion", max_lines=1
|
||||
# )
|
||||
# delete_file_button = gr.components.Button(
|
||||
# "🗑️ Delete selected file",
|
||||
# size="sm",
|
||||
# visible=settings().ui.delete_file_button_enabled,
|
||||
# interactive=False,
|
||||
# )
|
||||
# delete_files_button = gr.components.Button(
|
||||
# "⚠️ Delete ALL files",
|
||||
# size="sm",
|
||||
# visible=settings().ui.delete_all_files_button_enabled,
|
||||
# )
|
||||
# deselect_file_button.click(
|
||||
# self._deselect_selected_file,
|
||||
# outputs=[
|
||||
# delete_file_button,
|
||||
# deselect_file_button,
|
||||
# selected_text,
|
||||
# ],
|
||||
# )
|
||||
# ingested_dataset.select(
|
||||
# fn=self._selected_a_file,
|
||||
# outputs=[
|
||||
# delete_file_button,
|
||||
# deselect_file_button,
|
||||
# selected_text,
|
||||
# ],
|
||||
# )
|
||||
# delete_file_button.click(
|
||||
# self._delete_selected_file,
|
||||
# outputs=[
|
||||
# ingested_dataset,
|
||||
# delete_file_button,
|
||||
# deselect_file_button,
|
||||
# selected_text,
|
||||
# ],
|
||||
# )
|
||||
# delete_files_button.click(
|
||||
# self._delete_all_files,
|
||||
# outputs=[
|
||||
# ingested_dataset,
|
||||
# delete_file_button,
|
||||
# deselect_file_button,
|
||||
# selected_text,
|
||||
# ],
|
||||
# )
|
||||
# system_prompt_input = gr.Textbox(
|
||||
# placeholder=self._system_prompt,
|
||||
# label="System Prompt",
|
||||
# lines=2,
|
||||
# interactive=True,
|
||||
# render=False,
|
||||
# )
|
||||
# # When mode changes, set default system prompt
|
||||
# mode.change(
|
||||
# self._set_current_mode, inputs=mode, outputs=system_prompt_input
|
||||
# )
|
||||
# # On blur, set system prompt to use in queries
|
||||
# system_prompt_input.blur(
|
||||
# self._set_system_prompt,
|
||||
# inputs=system_prompt_input,
|
||||
# )
|
||||
|
||||
with gr.Column(scale=7, elem_id="col"):
|
||||
_ = gr.ChatInterface(
|
||||
@@ -431,7 +446,7 @@ class PrivateGptUi:
|
||||
AVATAR_BOT,
|
||||
),
|
||||
),
|
||||
additional_inputs=[mode, upload_button, system_prompt_input],
|
||||
#additional_inputs=[mode, upload_button, system_prompt_input],
|
||||
)
|
||||
return blocks
|
||||
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
# Syntax in `private_pgt/settings/settings.py`
|
||||
server:
|
||||
env_name: ${APP_ENV:prod}
|
||||
port: ${PORT:8001}
|
||||
port: ${PORT:8002}
|
||||
cors:
|
||||
enabled: false
|
||||
allow_origins: ["*"]
|
||||
|
||||
Reference in New Issue
Block a user