Create app.py

app.py

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+import pandas as pd
+import gspread
+from oauth2client.service_account import ServiceAccountCredentials
+import gradio as gr
+import plotly.express as px
+
+# === Google Sheets Auth ===
+scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
+creds = ServiceAccountCredentials.from_json_keyfile_name("tough-star.json", scope)
+client = gspread.authorize(creds)
+
+# === Load sheet data ===
+sheet_url = "https://docs.google.com/spreadsheets/d/1bpeFS6yihb6niCavpwjWmVEypaSkGxONGg2jZfKX_sA"
+sheet = client.open_by_url(sheet_url).worksheet("Calls")
+data = sheet.get_all_records()
+df = pd.DataFrame(data)
+
+# === Parse and clean ===
+df['Timestamp'] = pd.to_datetime(df['Timestamp'], dayfirst=True, errors='coerce')
+df['Date'] = df['Timestamp'].dt.date
+df['Time'] = df['Timestamp'].dt.time
+
+location_split = df['Location'].str.split(',', expand=True)
+df['Latitude'] = pd.to_numeric(location_split[0], errors='coerce')
+df['Longitude'] = pd.to_numeric(location_split[1], errors='coerce')
+df = df.dropna(subset=['Date', 'Rep Name', 'Latitude', 'Longitude'])
+df = df[(df['Latitude'] != 0) & (df['Longitude'] != 0)]
+df = df.sort_values(by=['Rep Name', 'Timestamp'])
+df['Time Diff (min)'] = df.groupby(['Rep Name', 'Date'])['Timestamp'].diff().dt.total_seconds().div(60).fillna(0)
+
+# === Functions ===
+def get_reps(date):
+    reps = df[df['Date'] == pd.to_datetime(date).date()]['Rep Name'].dropna().unique()
+    return sorted(reps)
+
+def show_map(date, rep):
+    subset = df[(df['Date'] == pd.to_datetime(date).date()) & (df['Rep Name'] == rep)]
+    if subset.empty:
+        return "No valid data", None
+
+    subset = subset.sort_values(by='Timestamp')
+    fig = px.line_mapbox(
+        subset,
+        lat="Latitude", lon="Longitude",
+        hover_name="Dealership Name",
+        hover_data={"Time": True, "Time Diff (min)": True},
+        zoom=10, height=500
+    )
+    fig.add_trace(px.scatter_mapbox(pd.DataFrame([subset.iloc[0]]),
+        lat="Latitude", lon="Longitude", text=["Start"], color_discrete_sequence=["green"]).data[0])
+    fig.add_trace(px.scatter_mapbox(pd.DataFrame([subset.iloc[-1]]),
+        lat="Latitude", lon="Longitude", text=["End"], color_discrete_sequence=["red"]).data[0])
+    fig.update_layout(mapbox_style="open-street-map", title=f"{rep} on {date}")
+    table = subset[['Dealership Name', 'Time', 'Time Diff (min)']]
+    return table, fig
+
+# === Gradio UI ===
+def update(date):
+    return gr.Dropdown(choices=get_reps(date), label="Select Rep")
+
+with gr.Blocks() as app:
+    gr.Markdown("## 🗺️ Rep Route & Visit Visualizer")
+
+    date_picker = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
+    rep_picker = gr.Dropdown(label="Select Rep")
+
+    btn = gr.Button("Show Route")
+
+    table = gr.Dataframe(label="Call Table")
+    map_plot = gr.Plot(label="Map")
+
+    date_picker.change(fn=update, inputs=date_picker, outputs=rep_picker)
+    btn.click(fn=show_map, inputs=[date_picker, rep_picker], outputs=[table, map_plot])
+
+app.launch()