Create app.py

app.py

@@ -0,0 +1,114 @@
+import gradio as gr
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
+import requests, os, json, threading, time
+from datetime import datetime, timedelta
+
+CSV_LOG = "baby_log.csv"
+JSON_LOG = "baby_log.json"
+PLOT_PATH = "routine_chart.png"
+PUSHCUT_API_KEY = "rqo6JIF_fytsDlxKWOFrK3Hs"  # 👈 replace with real key
+NOTIF_NAME = "Feed Reminder"  # must match Pushcut app notification
+
+# Load or create log
+if os.path.exists(CSV_LOG):
+    log_df = pd.read_csv(CSV_LOG)
+    log_df["datetime"] = pd.to_datetime(log_df["datetime"])
+else:
+    log_df = pd.DataFrame(columns=["datetime", "event"])
+
+def save_logs():
+    log_df.to_csv(CSV_LOG, index=False)
+    log_df.to_json(JSON_LOG, orient="records", date_format="iso")
+
+def parse_time(hour, minute, ampm):
+    hour = int(hour)
+    minute = int(minute)
+    if ampm == "PM" and hour < 12:
+        hour += 12
+    if ampm == "AM" and hour == 12:
+        hour = 0
+    now = datetime.now()
+    return now.replace(hour=hour, minute=minute, second=0, microsecond=0)
+
+def smart_next_feed_time(last_time):
+    hour = last_time.hour
+    interval = timedelta(hours=4) if hour >= 21 or hour < 10 else timedelta(hours=2)
+    return last_time + interval
+
+def plot_feeds(df):
+    if df.empty:
+        return None
+    df["hour"] = df["datetime"].dt.hour + df["datetime"].dt.minute / 60
+    plt.figure(figsize=(14, 5))
+    ax = sns.scatterplot(data=df, x="datetime", y="hour", hue="event", s=120)
+    ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d\n%I:%M %p'))
+    plt.ylabel("Hour")
+    plt.title("Baby Feeding Routine")
+    plt.grid(True)
+    plt.tight_layout()
+    plt.savefig(PLOT_PATH, bbox_inches='tight')
+    return PLOT_PATH
+
+def summarize_today(df):
+    today = datetime.now().date()
+    df["datetime"] = pd.to_datetime(df["datetime"])
+    count = df[df["datetime"].dt.date == today].shape[0]
+    return f"🍼 Feedings today: {count}"
+
+def send_pushcut():
+    url = f"https://api.pushcut.io/v1/notifications/{NOTIF_NAME}"
+    headers = {"Authorization": f"Bearer {PUSHCUT_API_KEY}", "Content-Type": "application/json"}
+    try:
+        res = requests.post(url, headers=headers, json={"text": "🍼 Time to feed the baby!"})
+        return "✅ Notification sent" if res.status_code == 200 else f"❌ Failed: {res.status_code}"
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+def schedule_notification(feed_time):
+    def notify():
+        delay = (feed_time - datetime.now()).total_seconds()
+        if delay > 0:
+            time.sleep(delay)
+        send_pushcut()
+    threading.Thread(target=notify, daemon=True).start()
+
+def log_feeding(hour, minute, ampm):
+    global log_df
+    feed_time = parse_time(hour, minute, ampm)
+    new_entry = pd.DataFrame([{"datetime": feed_time, "event": "Feed"}])
+    log_df = pd.concat([log_df, new_entry], ignore_index=True)
+    save_logs()
+    next_feed = smart_next_feed_time(feed_time)
+    schedule_notification(next_feed)
+    chart = plot_feeds(log_df)
+    summary = summarize_today(log_df)
+    return next_feed.strftime("%I:%M %p"), chart, log_df.tail(50).reset_index(drop=True), summary
+
+def manual_test_notif(_):
+    return send_pushcut()
+
+# UI
+with gr.Blocks() as app:
+    gr.Markdown("## 👶 Smart Baby Feed Tracker")
+    with gr.Row():
+        hour = gr.Number(label="Hour", value=10, minimum=1, maximum=12, step=1)
+        minute = gr.Number(label="Minute", value=0, minimum=0, maximum=59, step=1)
+        ampm = gr.Dropdown(["AM", "PM"], label="AM/PM", value="AM")
+    log_btn = gr.Button("✔️ Log Feeding")
+
+    next_feed_box = gr.Textbox(label="Next Feeding Time")
+    chart_output = gr.Image(label="Feeding Chart", type="filepath")
+    feed_table = gr.Dataframe(label="Recent Feed Log")
+    today_summary = gr.Textbox(label="Today’s Feed Count")
+
+    log_btn.click(fn=log_feeding, inputs=[hour, minute, ampm], outputs=[next_feed_box, chart_output, feed_table, today_summary])
+
+    gr.Markdown("### 🔔 Pushcut Test")
+    test_btn = gr.Button("Send Test Notification")
+    test_result = gr.Textbox()
+    test_btn.click(fn=manual_test_notif, inputs=[test_btn], outputs=[test_result])
+
+app.launch()