Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,5 @@
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import base64
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import io
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-
import os
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import ast
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import traceback
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from threading import Thread
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@@ -20,6 +19,7 @@ app.layout = dbc.Container([
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html.H1("Data Analysis Dashboard", className="my-4"),
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dbc.Card([
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dbc.CardBody([
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dcc.Upload(
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id='upload-data',
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children=html.Div([
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@@ -66,10 +66,9 @@ def parse_contents(contents, filename):
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print(e)
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return None
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def process_data(df, instructions):
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try:
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# Initialize Gemini
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api_key = os.environ.get('GEMINI_API_KEY')
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')
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@@ -146,17 +145,18 @@ def generate_plot(df, plot_info):
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[Input('submit-button', 'n_clicks')],
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[State('upload-data', 'contents'),
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State('upload-data', 'filename'),
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State('instructions', 'value')
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)
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def update_output(n_clicks, contents, filename, instructions):
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if n_clicks is None or contents is None:
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return dash.no_update, dash.no_update, dash.no_update
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df = parse_contents(contents, filename)
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if df is None:
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return dash.no_update, dash.no_update, dash.no_update
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plots = process_data(df, instructions)
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if plots is None or len(plots) < 3:
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return dash.no_update, dash.no_update, dash.no_update
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import base64
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import io
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import ast
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import traceback
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from threading import Thread
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html.H1("Data Analysis Dashboard", className="my-4"),
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dbc.Card([
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dbc.CardBody([
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dbc.Input(id="api-key", placeholder="Enter your Gemini API key", type="password", className="mb-3"),
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dcc.Upload(
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id='upload-data',
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children=html.Div([
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print(e)
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return None
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def process_data(df, instructions, api_key):
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try:
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# Initialize Gemini with provided API key
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genai.configure(api_key=api_key)
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model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')
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[Input('submit-button', 'n_clicks')],
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[State('upload-data', 'contents'),
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State('upload-data', 'filename'),
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State('instructions', 'value'),
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State('api-key', 'value')]
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)
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def update_output(n_clicks, contents, filename, instructions, api_key):
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if n_clicks is None or contents is None or not api_key:
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return dash.no_update, dash.no_update, dash.no_update
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df = parse_contents(contents, filename)
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if df is None:
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return dash.no_update, dash.no_update, dash.no_update
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plots = process_data(df, instructions, api_key)
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if plots is None or len(plots) < 3:
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return dash.no_update, dash.no_update, dash.no_update
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