Create app.py

app.py

@@ -0,0 +1,46 @@
+# app.py
+import gradio as gr
+from ai_model import generate_daily_checklist
+from sf_mock import log_reflection, get_engagement_score
+from utils import plot_engagement_graph, generate_pdf_summary
+
+# UI Logic
+def coach_interface(role, project_id, milestones, reflection):
+    checklist, tips = generate_daily_checklist(role, project_id, milestones, reflection)
+    log_reflection(role, project_id, reflection)
+    score = get_engagement_score(role, project_id)
+    graph_path = plot_engagement_graph(score)
+    return checklist, tips, score, graph_path
+
+def download_summary(role, project_id):
+    return generate_pdf_summary(role, project_id)
+
+with gr.Blocks() as demo:
+    gr.Markdown("# AI Coach for Site Supervisors")
+
+    with gr.Row():
+        role = gr.Textbox(label="Supervisor Role", placeholder="e.g. Electrical Lead")
+        project_id = gr.Textbox(label="Project ID")
+
+    milestones = gr.Textbox(label="Project Milestones", placeholder="e.g. Foundation, Framing, Wiring...")
+    reflection = gr.Textbox(label="Reflection Log", lines=4)
+
+    submit_btn = gr.Button("Get Today's Coaching")
+
+    checklist = gr.Textbox(label="Daily Checklist", lines=4)
+    tips = gr.Textbox(label="Top 3 Focus Tips", lines=3)
+    score = gr.Number(label="Engagement Score")
+    graph = gr.Image(label="Engagement Trend")
+
+    submit_btn.click(coach_interface, 
+                     inputs=[role, project_id, milestones, reflection],
+                     outputs=[checklist, tips, score, graph])
+
+    gr.Markdown("---")
+    gr.Markdown("## Download Weekly Summary")
+    download_btn = gr.Button("Download PDF Summary")
+    summary_file = gr.File()
+    download_btn.click(download_summary, inputs=[role, project_id], outputs=summary_file)
+
+if __name__ == "__main__":
+    demo.launch()