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.gitignore

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+__pycache__/
+*.csv
+*.pyc

README.md

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----
-title: PromoPlanerOG
-emoji: 🏃
-colorFrom: pink
-colorTo: pink
-sdk: gradio
-sdk_version: 5.26.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 📣 PromoPlaner – Marketing Kampagnen Tool
+
+Ein einfaches Webtool zur Organisation und Visualisierung von Werbeaktionen mit Gradio und Plotly.
+
+## Funktionen
+- 🔐 Login-Funktion
+- 💡 KI-basierte Kampagnenvorschläge
+- 📅 Planung mit Start- und Enddatum
+- 📈 Gantt-Visualisierung der Kampagnen
+- 📤 CSV-Export
+
+## Nutzung
+
+```bash
+pip install -r requirements.txt
+python app.py
+```
+
+## Deployment auf Hugging Face
+```bash
+huggingface-cli login
+gradio deploy
+```

app.py

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+import pandas as pd
+from datetime import datetime
+import plotly.express as px
+import plotly.io as pio
+import gradio as gr
+
+users = {"PM": "Promo123"}
+campaigns = []
+sessions = {}
+
+def validate_date(date_str):
+    try:
+        datetime.strptime(date_str, "%Y-%m-%d")
+        return True
+    except:
+        return False
+
+def login(username, password):
+    if users.get(username) == password:
+        sessions["user"] = username
+        return gr.update(visible=True), f"Willkommen {username}"
+    return gr.update(visible=False), "❌ Login fehlgeschlagen"
+
+def suggest_campaign(product, goal, channel):
+    return f"""💡 Idee:
+Produkt: {product}
+Ziel: {goal}
+Kanal: {channel}
+
+🚀 Vorschlag:
+Eine kreative {channel}-Kampagne für {product}, z. B. mit exklusiven Angeboten oder Rabattaktionen.
+"""
+
+def add_campaign(name, goal, product, channel, start, end, budget, responsible):
+    if not validate_date(start) or not validate_date(end):
+        return pd.DataFrame(campaigns), "❌ Bitte Datum im Format YYYY-MM-DD eingeben."
+    campaigns.append({
+        "Name": name,
+        "Ziel": goal,
+        "Produkt": product,
+        "Kanal": channel,
+        "Start": start,
+        "Ende": end,
+        "Budget (CHF)": budget,
+        "Verantwortlich": responsible
+    })
+    df = pd.DataFrame(campaigns)
+    total = df["Budget (CHF)"].sum()
+    return df, f"💰 Gesamtbudget: CHF {total:.2f}"
+
+def export_csv():
+    path = "kampagnen.csv"
+    pd.DataFrame(campaigns).to_csv(path, index=False)
+    return path
+
+def generate_gantt():
+    if not campaigns:
+        return "<i>Keine Kampagnen zum Anzeigen</i>"
+    df = pd.DataFrame(campaigns)
+    df["Start"] = pd.to_datetime(df["Start"])
+    df["Ende"] = pd.to_datetime(df["Ende"])
+    try:
+        fig = px.timeline(df, x_start="Start", x_end="Ende", y="Name", color="Verantwortlich", title="📊 Kampagnenübersicht")
+        fig.update_yaxes(autorange="reversed")
+        fig.update_layout(height=400, margin=dict(l=20, r=20, t=30, b=20))
+        html = pio.to_html(fig, full_html=False, include_plotlyjs='cdn')
+        return html
+    except Exception as e:
+        return f"<b>Fehler:</b> {e}"
+
+with gr.Blocks() as app:
+    gr.Markdown("## 📣 Promo-Planer mit Visualisierung")
+    with gr.Row():
+        user = gr.Textbox(label="Benutzer")
+        pw = gr.Textbox(label="Passwort", type="password")
+        login_btn = gr.Button("🔓 Login")
+    login_status = gr.Textbox(interactive=False)
+    with gr.Column(visible=False) as planner:
+        with gr.Row():
+            name = gr.Textbox(label="Kampagnenname")
+            goal = gr.Dropdown(["Verkaufsförderung","Werbung", "Event"], label="Ziel")
+            product = gr.Textbox(label="Produkt")
+        with gr.Row():
+            channel = gr.Dropdown(["Tisch","Instagram", "E-Mail", "Plakat"], label="Kanal")
+            start = gr.Textbox(label="Startdatum (YYYY-MM-DD)")
+            end = gr.Textbox(label="Enddatum (YYYY-MM-DD)")
+        with gr.Row():
+            budget = gr.Number(label="Budget (CHF)")
+            responsible = gr.Dropdown(["Markthalle","Marketing", "PM", "PED"], label="Verantwortlich")
+        suggest_btn = gr.Button("💡 KI-Vorschlag")
+        idea = gr.Textbox(label="Kampagnenidee")
+        submit_btn = gr.Button("✅ Speichern")
+        output_table = gr.Dataframe()
+        budget_total = gr.Textbox(label="Budget Gesamt", interactive=False)
+        export_btn = gr.Button("📤 Export CSV")
+        gr.Markdown("### 📈 Gantt-Visualisierung")
+        gantt_html = gr.HTML()
+        update_chart = gr.Button("🔄 Visualisierung aktualisieren")
+        gr.Markdown("🚀 **Deployment-Tipp**: Führe `gradio deploy` im Terminal aus, um diese App auf [Hugging Face Spaces](https://huggingface.co/spaces) zu veröffentlichen.")
+    login_btn.click(login, [user, pw], [planner, login_status])
+    suggest_btn.click(suggest_campaign, [product, goal, channel], idea)
+    submit_btn.click(add_campaign, [name, goal, product, channel, start, end, budget, responsible], [output_table, budget_total])
+    export_btn.click(export_csv, outputs=None)
+    update_chart.click(generate_gantt, outputs=gantt_html)
+    app.launch(share=True)

requirements.txt

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+gradio>=4.18
+pandas
+plotly