Delete app.py

app.py

@@ -1,56 +0,0 @@
-import pandas as pd
-import joblib
-import gradio as gr
-from datetime import datetime, timedelta
-
-# Load model
-model = joblib.load('random_forest_model.pkl')
-
-def predict_task_duration(task_name, duration, deadline):
-    try:
-        start_date = datetime(2024, 10, 20)
-        deadline_date = datetime.strptime(deadline, '%Y-%m-%d')
-        deadline_days = (deadline_date - start_date).days
-        
-        input_data = pd.DataFrame({
-            'duration': [duration],
-            'deadline_days': [deadline_days]
-        })
-        
-        priority = model.predict(input_data)
-        priority_map = {
-            1: "Rendah",
-            2: "Sedang",
-            3: "Tinggi"
-        }
-        
-        result = priority_map.get(priority[0], "Tidak diketahui")
-        return f'Prioritas Tugas: {result}'
-    
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-# Membuat interface Gradio
-iface = gr.Interface(
-    fn=predict_task_duration,
-    inputs=[
-        gr.Dropdown(
-            choices=["Meeting", "Bekerja", "Belajar"],
-            label="Nama Tugas"
-        ),
-        gr.Slider(
-            minimum=1,
-            maximum=10,
-            value=5,
-            step=0.1,
-            label="Durasi Tugas (dalam jam)"
-        ),
-        gr.Date(label="Deadline")  # Menambahkan input deadline
-    ],
-    outputs=gr.Text(label="Hasil Prediksi"),
-    title="Sistem Prediksi Prioritas Tugas",
-    description="Masukkan nama tugas, durasi, dan deadline untuk memprediksi prioritasnya"
-)
-
-# Launch the interface
-iface.launch()