Create app.py

app.py

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+# app.py (Gradio-based Hugging Face Space Template)
+
+import gradio as gr
+import pandas as pd
+import plotly.express as px
+from utils.model import predict_timeline
+from utils.salesforce import fetch_project_data
+from utils.export import export_summary_pdf
+
+
+def process_file(file):
+    df = pd.read_excel(file.name if hasattr(file, 'name') else file)
+    gantt_data, delay_risks, summary = predict_timeline(df)
+    
+    gantt_fig = px.timeline(gantt_data, x_start="Start", x_end="Finish", y="Task", color="Risk")
+    gantt_fig.update_yaxes(autorange="reversed")
+    
+    return df, gantt_fig, delay_risks, summary
+
+def generate_pdf(summary):
+    return export_summary_pdf(summary)
+
+with gr.Blocks() as app:
+    gr.Markdown("## Infrastructure Project Planner")
+
+    with gr.Row():
+        file_input = gr.File(label="Upload BOQ / Scope (Excel)", type="file")
+        fetch_button = gr.Button("Fetch from Salesforce")
+
+    with gr.Row():
+        preview = gr.Dataframe(label="BOQ Preview")
+
+    gantt_plot = gr.Plot(label="Project Gantt Chart")
+    risk_display = gr.HighlightedText(label="Delay Risk Analysis")
+    summary_output = gr.Textbox(label="Project Summary", lines=5)
+
+    pdf_button = gr.Button("Export PDF")
+    pdf_output = gr.File(label="Download Project Kickoff Summary")
+
+    file_input.change(process_file, inputs=file_input, outputs=[preview, gantt_plot, risk_display, summary_output])
+    fetch_button.click(fetch_project_data, outputs=file_input)
+    pdf_button.click(generate_pdf, inputs=summary_output, outputs=pdf_output)
+
+app.launch()