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import base64
import io
import os
import pandas as pd
from docx import Document
from io import BytesIO
import dash
import dash_bootstrap_components as dbc
from dash import html, dcc, Input, Output, State, callback_context
import google.generativeai as genai
from docx.shared import Pt
from docx.enum.style import WD_STYLE_TYPE
from PyPDF2 import PdfReader
from io import StringIO
# Initialize Dash app
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
# Configure Gemini AI
genai.configure(api_key=os.environ["GEMINI_API_KEY"])
model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')
# Global variables
uploaded_files = {}
current_document = None
document_type = None
# Document types and their descriptions
document_types = {
"Shred": "Generate an outline of the Project Work Statement (PWS)",
"Pink": "Create a Pink Team document based on the PWS outline",
"P.Review": "Evaluate compliance of the Pink Team document",
"Red": "Generate a Red Team document based on the P.Review",
"R.Review": "Evaluate compliance of the Red Team document",
"G.Review": "Perform a final compliance review",
"LOE": "Generate a Level of Effort (LOE) breakdown"
}
app.layout = dbc.Container([
dbc.Row([
dbc.Col([
html.H4("Proposal Documents", className="mt-3 mb-4"),
dcc.Upload(
id='upload-document',
children=html.Div([
'Drag and Drop or ',
html.A('Select Files')
]),
style={
'width': '100%',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px 0'
},
multiple=True
),
html.Div(id='file-list'),
html.Hr(),
html.Div([
dbc.Button(
doc_type,
id=f'btn-{doc_type.lower().replace(" ", "-")}',
color="link",
className="mb-2 w-100 text-left custom-button",
style={'overflow': 'hidden', 'text-overflow': 'ellipsis', 'white-space': 'nowrap'}
) for doc_type in document_types.keys()
])
], width=3),
dbc.Col([
html.Div(style={"height": "20px"}), # Added small gap
dcc.Loading(
id="loading-indicator",
type="dot",
children=[html.Div(id="loading-output")]
),
html.Div(id='document-preview', className="border p-3 mb-3"),
dbc.Button("Download Document", id="btn-download", color="success", className="mt-3"),
dcc.Download(id="download-document"),
html.Hr(),
html.Div(style={"height": "20px"}), # Added small gap
dcc.Loading(
id="chat-loading",
type="dot",
children=[
dbc.Input(id="chat-input", type="text", placeholder="Chat with AI to update document...", className="mb-2"),
dbc.Button("Send", id="btn-send-chat", color="primary", className="mb-3"),
html.Div(id="chat-output")
]
)
], width=9)
])
], fluid=True)
def process_document(contents, filename):
content_type, content_string = contents.split(',')
decoded = base64.b64decode(content_string)
try:
if filename.lower().endswith('.docx'):
doc = Document(BytesIO(decoded))
text = "\n".join([para.text for para in doc.paragraphs])
return text
elif filename.lower().endswith('.pdf'):
pdf = PdfReader(BytesIO(decoded))
text = ""
for page in pdf.pages:
text += page.extract_text()
return text
else:
return f"Unsupported file format: {filename}. Please upload a PDF or DOCX file."
except Exception as e:
return f"Error processing document: {str(e)}"
@app.callback(
Output('file-list', 'children'),
Input('upload-document', 'contents'),
State('upload-document', 'filename'),
State('file-list', 'children')
)
def update_output(list_of_contents, list_of_names, existing_files):
global uploaded_files
if list_of_contents is not None:
new_files = []
for i, (content, name) in enumerate(zip(list_of_contents, list_of_names)):
file_content = process_document(content, name)
uploaded_files[name] = file_content
new_files.append(html.Div([
html.Button('×', id={'type': 'remove-file', 'index': name}, style={'marginRight': '5px', 'fontSize': '10px'}),
html.Span(name)
]))
if existing_files is None:
existing_files = []
return existing_files + new_files
return existing_files
@app.callback(
Output('file-list', 'children', allow_duplicate=True),
Input({'type': 'remove-file', 'index': dash.ALL}, 'n_clicks'),
State('file-list', 'children'),
prevent_initial_call=True
)
def remove_file(n_clicks, existing_files):
global uploaded_files
ctx = dash.callback_context
if not ctx.triggered:
raise dash.exceptions.PreventUpdate
removed_file = ctx.triggered[0]['prop_id'].split(',')[0].split(':')[-1].strip('}')
uploaded_files.pop(removed_file, None)
return [file for file in existing_files if file['props']['children'][1]['props']['children'] != removed_file]
def generate_document(document_type, file_contents):
prompt = f"""Generate a {document_type} based on the following project artifacts:
{' '.join(file_contents)}
Instructions:
1. Create the {document_type} as a detailed document.
2. Use proper formatting and structure.
3. Include all necessary sections and details.
4. Start the output immediately with the document content.
Now, generate the {document_type}:
"""
response = model.generate_content(prompt)
return response.text
@app.callback(
Output('document-preview', 'children'),
Output('loading-output', 'children'),
[Input(f'btn-{doc_type.lower().replace(" ", "-")}', 'n_clicks') for doc_type in document_types.keys()],
prevent_initial_call=True
)
def generate_document_preview(*args):
global current_document, document_type
ctx = dash.callback_context
if not ctx.triggered:
raise dash.exceptions.PreventUpdate
button_id = ctx.triggered[0]['prop_id'].split('.')[0]
document_type = button_id.replace('btn-', '').replace('-', ' ').title()
if not uploaded_files:
return html.Div("Please upload project artifacts before generating a document."), ""
file_contents = list(uploaded_files.values())
try:
current_document = generate_document(document_type, file_contents)
return dcc.Markdown(current_document), f"{document_type} generated"
except Exception as e:
print(f"Error generating document: {str(e)}")
return html.Div(f"Error generating document: {str(e)}"), "Error"
@app.callback(
Output('chat-output', 'children'),
Output('document-preview', 'children', allow_duplicate=True),
Input('btn-send-chat', 'n_clicks'),
State('chat-input', 'value'),
prevent_initial_call=True
)
def update_document_via_chat(n_clicks, chat_input):
global current_document, document_type
if not chat_input or current_document is None:
raise dash.exceptions.PreventUpdate
prompt = f"""Update the following {document_type} based on this instruction: {chat_input}
Current document:
{current_document}
Instructions:
1. Provide the updated document content.
2. Maintain proper formatting and structure.
3. Incorporate the requested changes seamlessly.
Now, provide the updated {document_type}:
"""
response = model.generate_content(prompt)
current_document = response.text
return f"Document updated based on: {chat_input}", dcc.Markdown(current_document)
@app.callback(
Output("download-document", "data"),
Input("btn-download", "n_clicks"),
prevent_initial_call=True
)
def download_document(n_clicks):
global current_document, document_type
if current_document is None:
raise dash.exceptions.PreventUpdate
# Create an in-memory Word document
doc = Document()
doc.add_paragraph(current_document)
# Save the document to a BytesIO object
output = BytesIO()
doc.save(output)
return dcc.send_bytes(output.getvalue(), f"{document_type}.docx")
if __name__ == '__main__':
print("Starting the Dash application...")
app.run(debug=False, host='0.0.0.0', port=7860)
print("Dash application has finished running.") |