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Update app.py
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app.py
CHANGED
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@@ -4,31 +4,13 @@ from oauth2client.service_account import ServiceAccountCredentials
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import gradio as gr
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import plotly.express as px
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#
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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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def login():
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st.title("π Login Required")
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email = st.text_input("Email")
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password = st.text_input("Password", type="password")
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if st.button("Login"):
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if VALID_USERS.get(email) == password:
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st.session_state.authenticated = True
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st.rerun()
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else:
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st.error("β Incorrect email or password.")
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if "authenticated" not in st.session_state:
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st.session_state.authenticated = False
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if not st.session_state.authenticated:
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login()
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st.stop()
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# === Google Sheets Auth ===
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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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@@ -53,10 +35,10 @@ 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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# ===
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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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@@ -65,7 +47,7 @@ def generate_summary(date_str):
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inactive_df = pd.DataFrame({'Inactive Reps': inactive_list})
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return active, inactive_df
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# ===
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def get_reps(date_str):
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reps = df[df['Date'] == date_str]['Rep Name'].dropna().unique()
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return gr.update(choices=sorted(reps))
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@@ -112,7 +94,6 @@ 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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# Final table
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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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@@ -124,7 +105,6 @@ def show_map(date_str, rep):
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'Sales or service': 'πΌ Category'
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})
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# Add summary row
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total_time = round(table['β±οΈ Time Spent'].sum(), 2)
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summary_row = pd.DataFrame([{
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'Visit Order': '',
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@@ -138,28 +118,47 @@ def show_map(date_str, rep):
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return table, fig
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# === Gradio
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with gr.Blocks() as app:
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gr.Markdown("##
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with gr.Column(scale=1):
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date_picker = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
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rep_picker = gr.Dropdown(label="Select Rep")
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btn = gr.Button("Show Route")
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with gr.Column(scale=2):
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table = gr.Dataframe(label="Call Table")
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map_plot = gr.Plot(label="Map")
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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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app.launch()
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import gradio as gr
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import plotly.express as px
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# === Allowed Users ===
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allowed_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 Sheets Auth ===
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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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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 ===
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all_reps = sorted(df['Rep Name'].dropna().unique())
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# === Summary logic ===
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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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inactive_df = pd.DataFrame({'Inactive Reps': inactive_list})
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return active, inactive_df
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# === KAM logic ===
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def get_reps(date_str):
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reps = df[df['Date'] == date_str]['Rep Name'].dropna().unique()
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return gr.update(choices=sorted(reps))
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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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'Sales or service': 'πΌ Category'
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})
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total_time = round(table['β±οΈ Time Spent'].sum(), 2)
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summary_row = pd.DataFrame([{
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'Visit Order': '',
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return table, fig
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# === Gradio App ===
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def build_dashboard():
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with gr.Blocks() as dashboard:
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gr.Markdown("## ποΈ Carfind Rep Tracker")
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with gr.Tab("π Summary"):
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date_summary = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
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active_table = gr.Dataframe(label="β
Active Reps (with total visits)")
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inactive_table = gr.Dataframe(label="β οΈ Inactive Reps")
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date_summary.change(fn=generate_summary, inputs=date_summary, outputs=[active_table, inactive_table])
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with gr.Tab("π€ KAM's"):
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with gr.Row():
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with gr.Column(scale=1):
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date_picker = gr.Dropdown(label="Select Date", choices=sorted(df['Date'].unique(), reverse=True))
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rep_picker = gr.Dropdown(label="Select Rep")
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btn = gr.Button("Show Route")
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with gr.Column(scale=2):
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table = gr.Dataframe(label="Call Table")
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map_plot = gr.Plot(label="Map")
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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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return dashboard
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def authenticate(email, password):
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if email in allowed_users and allowed_users[email] == password:
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return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)
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else:
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return "Invalid login", None, None
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with gr.Blocks() as app:
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gr.Markdown("## π Login to Access Carfind Rep Tracker")
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with gr.Row():
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email_input = gr.Textbox(label="Email")
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pass_input = gr.Textbox(label="Password", type="password")
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login_button = gr.Button("Login")
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error_box = gr.Markdown("", visible=False)
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dashboard = build_dashboard()
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dashboard.visible = False
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login_button.click(fn=authenticate, inputs=[email_input, pass_input], outputs=[error_box, error_box, dashboard])
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app.launch()
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