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Update app.py
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app.py
CHANGED
@@ -1,17 +1,17 @@
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import gradio as gr
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import pandas as pd
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import gspread
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import plotly.express as px
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# ------------------
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VALID_USERS = {
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"[email protected]": "Pass.123",
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"[email protected]": "Pass.123",
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"[email protected]": "Pass.123"
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}
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# ------------------
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scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
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creds = ServiceAccountCredentials.from_json_keyfile_name("tough-star.json", scope)
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client = gspread.authorize(creds)
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@@ -20,10 +20,10 @@ sheet = client.open_by_url(sheet_url).worksheet("Calls")
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data = sheet.get_all_records()
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df = pd.DataFrame(data)
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df['Timestamp'] = pd.to_datetime(df['Timestamp'], dayfirst=True, errors='coerce')
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df['Date'] = df['Timestamp'].dt.date.astype(str)
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df['Time'] = df['Timestamp'].dt.time
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location_split = df['Location'].str.split(',', expand=True)
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df['Latitude'] = pd.to_numeric(location_split[0], errors='coerce')
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df['Longitude'] = pd.to_numeric(location_split[1], errors='coerce')
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@@ -32,10 +32,9 @@ df = df[(df['Latitude'] != 0) & (df['Longitude'] != 0)]
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df = df.sort_values(by=['Rep Name', 'Timestamp'])
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df['Time Diff (min)'] = df.groupby(['Rep Name', 'Date'])['Timestamp'].diff().dt.total_seconds().div(60).fillna(0)
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df['Visit Order'] = df.groupby(['Rep Name', 'Date']).cumcount() + 1
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ALL_REPS = sorted(df['Rep Name'].dropna().unique())
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# ------------------
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def generate_summary(date_str):
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day_df = df[df['Date'] == date_str]
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active = day_df.groupby('Rep Name').size().reset_index(name='Total Visits')
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@@ -90,8 +89,8 @@ def show_map(date_str, rep):
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fig.update_layout(mapbox_style="open-street-map", title=f"π {rep}'s Route on {date_str}")
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table = subset[[
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'Visit Order', 'Dealership Name', 'Time', 'Time Diff (min)',
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'Type of call', 'Sales or service'
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]].rename(columns={
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'Dealership Name': 'π§ Dealer',
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table = pd.concat([table, summary_row], ignore_index=True)
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return table, fig
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# ------------------
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with gr.Blocks() as app:
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state = gr.State(False)
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with gr.Row():
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with gr.Column(
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email = gr.Textbox(label="Email")
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password = gr.Textbox(label="Password", type="password")
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login_btn = gr.Button("Login")
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@@ -146,12 +143,12 @@ with gr.Blocks() as app:
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date_picker.change(fn=get_reps, inputs=date_picker, outputs=rep_picker)
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btn.click(fn=show_map, inputs=[date_picker, rep_picker], outputs=[table, map_plot])
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def
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if VALID_USERS.get(
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return gr.update(visible=False), gr.update(visible=True), ""
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else:
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return gr.update(), gr.update(), "β
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login_btn.click(fn=
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app.launch()
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import pandas as pd
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import gspread
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import gradio as gr
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import plotly.express as px
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from oauth2client.service_account import ServiceAccountCredentials
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# ------------------ AUTH ------------------
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VALID_USERS = {
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"[email protected]": "Pass.123",
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"[email protected]": "Pass.123",
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"[email protected]": "Pass.123"
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}
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# ------------------ GOOGLE SHEET SETUP ------------------
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scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
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creds = ServiceAccountCredentials.from_json_keyfile_name("tough-star.json", scope)
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client = gspread.authorize(creds)
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data = sheet.get_all_records()
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df = pd.DataFrame(data)
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# ------------------ DATA CLEANING ------------------
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df['Timestamp'] = pd.to_datetime(df['Timestamp'], dayfirst=True, errors='coerce')
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df['Date'] = df['Timestamp'].dt.date.astype(str)
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df['Time'] = df['Timestamp'].dt.time
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location_split = df['Location'].str.split(',', expand=True)
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df['Latitude'] = pd.to_numeric(location_split[0], errors='coerce')
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df['Longitude'] = pd.to_numeric(location_split[1], errors='coerce')
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df = df.sort_values(by=['Rep Name', 'Timestamp'])
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df['Time Diff (min)'] = df.groupby(['Rep Name', 'Date'])['Timestamp'].diff().dt.total_seconds().div(60).fillna(0)
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df['Visit Order'] = df.groupby(['Rep Name', 'Date']).cumcount() + 1
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ALL_REPS = sorted(df['Rep Name'].dropna().unique())
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# ------------------ DASHBOARD FUNCTIONS ------------------
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def generate_summary(date_str):
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day_df = df[df['Date'] == date_str]
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active = day_df.groupby('Rep Name').size().reset_index(name='Total Visits')
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fig.update_layout(mapbox_style="open-street-map", title=f"π {rep}'s Route on {date_str}")
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table = subset[[
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'Visit Order', 'Dealership Name', 'Time', 'Time Diff (min)',
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'Type of call', 'Sales or service'
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]].rename(columns={
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'Dealership Name': 'π§ Dealer',
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table = pd.concat([table, summary_row], ignore_index=True)
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return table, fig
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# ------------------ GRADIO APP ------------------
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with gr.Blocks() as app:
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with gr.Row():
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with gr.Column(visible=True) as login_ui:
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gr.Markdown("## π Login Required")
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email = gr.Textbox(label="Email")
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password = gr.Textbox(label="Password", type="password")
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login_btn = gr.Button("Login")
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date_picker.change(fn=get_reps, inputs=date_picker, outputs=rep_picker)
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btn.click(fn=show_map, inputs=[date_picker, rep_picker], outputs=[table, map_plot])
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def do_login(user, pw):
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if VALID_USERS.get(user) == pw:
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return gr.update(visible=False), gr.update(visible=True), ""
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else:
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return gr.update(visible=True), gr.update(visible=False), "β Invalid email or password."
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login_btn.click(fn=do_login, inputs=[email, password], outputs=[login_ui, main_ui, login_msg])
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app.launch()
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