feat/ai-chat: Add core components for Database chat #5
140
app/app.py
140
app/app.py
@@ -1,8 +1,142 @@
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from dash import Dash, html
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from typing import Any, Dict, Tuple
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app = Dash()
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from dash import (
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Dash,
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Input,
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Output,
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State,
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callback,
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dcc,
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get_asset_url,
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html,
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no_update,
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)
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from dash.exceptions import PreventUpdate
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from .app_styles import header_style
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from .data_chat import send_message
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external_stylesheets = ["https://codepen.io/chriddyp/pen/bWLwgP.css"]
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app = Dash(__name__, external_stylesheets=external_stylesheets)
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app.index_string = header_style
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err_style = {
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"height": "0px",
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"overflow": "hidden",
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"transition": "height 0.5s ease-in-out",
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"border-radius": "15px",
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"background-color": "#FFCCCB",
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"text-align": "center",
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"color": "#FF6B6B",
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"margin-top": "20px",
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"margin-left": "20px",
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"margin-right": "20px",
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"font-weight": "bold",
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"display": "flex",
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"justify-content": "center",
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"align-items": "center",
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}
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start_value = "Stelle deine Frage an die Datenbank..."
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app.layout = html.Div(
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[
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html.Div(
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[
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html.H1("Datenbank-Chat", className="heading"),
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html.Img(src=get_asset_url("logo.png"), className="logo"),
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],
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className="header-container",
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), # Header
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dcc.Store(
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id="tmp-value", data=start_value, storage_type="session"
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), # Store previous prompt
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dcc.Textarea(
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id="input-field",
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value=start_value,
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style={"width": "96%", "height": 200, "margin-left": "20px"},
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), # Input field
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html.Div([]), # Needed for keeping the layout clean
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html.Button(
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"Abschicken",
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id="submit-button",
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n_clicks=0,
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disabled=False,
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style={"margin-left": "20px"},
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), # Submit button
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html.Div(
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[html.P("Bitte eine neue Anfrage eingeben.")], id="error", style=err_style
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), # Error message (only visible if input is not updated but submit button is clicked)
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dcc.Loading(
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id="loading",
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type="default",
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children=[
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html.Div(
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"Hier erscheint die Antwort der Datenbank.",
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id="text-output",
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style={
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"whiteSpace": "pre-line",
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"margin-top": "30px",
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"margin-left": "20px",
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"margin-right": "20px",
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"border": "2px solid #86bc25",
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"border-radius": "15px",
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"padding": "20px",
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},
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)
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],
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),
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], # Output field
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className="container",
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)
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@callback(
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Output("text-output", "children"),
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Output("tmp-value", "data"),
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Output("error", "style"),
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Input("submit-button", "n_clicks"),
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State("input-field", "value"),
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State("tmp-value", "data"),
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prevent_initial_call=True,
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running=[
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(Output("submit-button", "disabled"), True, False),
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(
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Output("submit-button", "style"),
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{"opacity": 0.5, "margin-left": "20px"},
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{"opacity": 1.0, "margin-left": "20px"},
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),
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],
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)
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def update_output(n_clicks: int, value: str, data: str) -> Tuple[str, str, Dict[str, Any]]:
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"""Update the output based on user input and button clicks.
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Parameters
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----------
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n_clicks : int
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Number of times the submit button has been clicked.
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value : str
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Current value of the input field.
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data : str
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Previously stored value.
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Returns
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-------
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Tuple[str, str, Dict[str, Any]]
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Updated output text, new stored value, and error style.
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"""
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global err_style
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if n_clicks > 0 and value != data:
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result = send_message(value)
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err_style["height"] = "0px"
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return result, value, err_style
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elif value == data:
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err_style["height"] = "50px"
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return no_update, no_update, err_style
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raise PreventUpdate
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app.layout = [html.Div(children="Hello World")]
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server = app.server
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37
app/app_styles.py
Normal file
37
app/app_styles.py
Normal file
@@ -0,0 +1,37 @@
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header_style = """
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<!DOCTYPE html>
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<html>
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<head>
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{%metas%}
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<title>{%title%}</title>
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{%favicon%}
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{%css%}
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<style>
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.header-container {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 20px;
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background-color: #f8f9fa;
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}
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.heading {
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font-size: 2.5em;
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font-weight: bold;
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color: #333;
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}
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.logo {
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height: 30px;
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width: auto;
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}
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</style>
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</head>
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<body>
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{%app_entry%}
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<footer>
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{%config%}
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{%scripts%}
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{%renderer%}
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</footer>
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</body>
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</html>
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"""
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BIN
app/assets/logo.png
Normal file
BIN
app/assets/logo.png
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Binary file not shown.
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After Width: | Height: | Size: 9.2 KiB |
36
app/data_chat.py
Normal file
36
app/data_chat.py
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@@ -0,0 +1,36 @@
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import os
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from openai import AzureOpenAI
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# Set up credentials
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# NOTE: When running locally, these have to be set in the environment
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client = AzureOpenAI(
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azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
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api_key=os.getenv("AZURE_OPENAI_KEY"),
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api_version="2024-02-01",
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)
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deployment_name = "sqlai"
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def send_message(message: str) -> str:
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"""Send a message to the openai chat completion API and return the response.
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Parameters
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----------
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message : str
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The user's message to be sent to the chat completion API.
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Returns
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-------
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str
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The content of the assistant's response message.
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"""
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response = client.chat.completions.create(
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model=deployment_name,
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messages=[
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{"role": "system", "content": "Du bist ein hilfreicher Assistent."},
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{"role": "user", "content": message},
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],
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)
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return response.choices[0].message.content
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