Update
Browse files
app.py
CHANGED
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@@ -1,9 +1,7 @@
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import gradio as gr
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import pandas as pd
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# from dotenv import load_dotenv
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# load_dotenv()
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# becoz of deployment on hf space - above 2 lines replaced as below:
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import os
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from app.db.repo import init_db
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@@ -13,24 +11,25 @@ from app.controller.session_loader import load_google_ads_data
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from app.ads1.ads_analyst import run_ads_analyst_card
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from app.ads1.budget_optimizer import run_budget_optimizer_card
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-
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init_db()
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# HELPERS
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def on_campaign_select(campaign_name):
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dfs = load_google_ads_data()
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filtered = dfs.copy()
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filtered["campaigns"] = dfs["campaigns"][
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dfs["campaigns"]["name"] == campaign_name
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]
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return filtered
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def run_ads_card(state):
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if not state:
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return "⚠️ Please select a campaign from the Dashboard first."
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return run_ads_analyst_card(state["dfs"])
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def run_budget_card(state):
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if not state:
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return "⚠️ Please select a campaign from the Dashboard first."
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@@ -40,7 +39,6 @@ def campaign_row_selected(evt: gr.SelectData):
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"""
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Triggered when user clicks a row in the dashboard table
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"""
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df = load_dashboard()[4] # campaign table returned by load_dashboard()
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campaign_name = df.iloc[evt.index[0]]["Campaign"]
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dfs = on_campaign_select(campaign_name)
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@@ -55,27 +53,20 @@ def campaign_row_selected(evt: gr.SelectData):
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# GRADIO APP
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with gr.Blocks(title="Ads Assistant") as demo:
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campaign_state = gr.State()
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gr.Markdown("# 🎯 Preschool Ads Dashboard")
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# TAB 1: DASHBOARD
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# -------------------------
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with gr.Tab("Dashboard"):
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campaign_table = build_dashboard()
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# TAB 2: CAMPAIGN ANALYSIS
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# -------------------------
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with gr.Tab("Campaign Analysis"):
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selected_campaign = gr.Markdown(
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"👈 Select a campaign from the Dashboard tab"
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)
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analyst_btn = gr.Button("Run Ads Analysis")
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budget_btn = gr.Button("Run Budget Optimization")
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output = gr.Markdown()
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analyst_btn.click(
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@@ -91,7 +82,6 @@ with gr.Blocks(title="Ads Assistant") as demo:
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)
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# CONNECT TABLE CLICK → STATE
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# -------------------------
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campaign_table.select(
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fn=campaign_row_selected,
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outputs=[
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@@ -100,4 +90,6 @@ with gr.Blocks(title="Ads Assistant") as demo:
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]
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)
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# STEP 1: MUST BE THE FIRST MACHINE LEARNING IMPORT
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import spaces
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import gradio as gr
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import pandas as pd
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import os
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from app.db.repo import init_db
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from app.ads1.ads_analyst import run_ads_analyst_card
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from app.ads1.budget_optimizer import run_budget_optimizer_card
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init_db()
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# HELPERS
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def on_campaign_select(campaign_name):
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dfs = load_google_ads_data()
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filtered = dfs.copy()
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filtered["campaigns"] = dfs["campaigns"][
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dfs["campaigns"]["name"] == campaign_name
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]
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return filtered
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# STEP 2: DECORATE THE GPU-INTENSIVE FUNCTIONS
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@spaces.GPU()
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def run_ads_card(state):
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if not state:
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return "⚠️ Please select a campaign from the Dashboard first."
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return run_ads_analyst_card(state["dfs"])
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@spaces.GPU()
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def run_budget_card(state):
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if not state:
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return "⚠️ Please select a campaign from the Dashboard first."
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"""
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Triggered when user clicks a row in the dashboard table
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"""
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df = load_dashboard()[4] # campaign table returned by load_dashboard()
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campaign_name = df.iloc[evt.index[0]]["Campaign"]
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dfs = on_campaign_select(campaign_name)
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# GRADIO APP
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with gr.Blocks(title="Ads Assistant") as demo:
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campaign_state = gr.State()
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gr.Markdown("# 🎯 Preschool Ads Dashboard")
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# TAB 1: DASHBOARD
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with gr.Tab("Dashboard"):
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campaign_table = build_dashboard()
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# TAB 2: CAMPAIGN ANALYSIS
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with gr.Tab("Campaign Analysis"):
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selected_campaign = gr.Markdown(
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"👈 Select a campaign from the Dashboard tab"
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)
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analyst_btn = gr.Button("Run Ads Analysis")
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budget_btn = gr.Button("Run Budget Optimization")
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output = gr.Markdown()
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analyst_btn.click(
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)
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# CONNECT TABLE CLICK → STATE
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campaign_table.select(
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fn=campaign_row_selected,
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outputs=[
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]
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)
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# STEP 3: CLEAN LAUNCH FOR HUGGING FACE
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# Do not specify server_name or server_port; HF manages this automatically.
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demo.launch()
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