Delete app (2).py

app (2).py

@@ -1,53 +0,0 @@
-import streamlit as st
-import numpy as np
-import pandas as pd
-import joblib
-import matplotlib.pyplot as plt
-import seaborn as sns
-from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay
-
-# Load model
-model = joblib.load("random_forest_model.pkl")
-
-# Page configuration
-st.set_page_config(page_title="Sleep  Detector ", layout="wide")
-
-# Custom CSS
-st.markdown("""
-    <style>
-    .main {
-        background-color: #f4f6f9;
-        font-family: 'Segoe UI', sans-serif;
-    }
-    h1, h2, h3 {
-        color: #333;
-    }
-    </style>
-""", unsafe_allow_html=True)
-
-st.title("😴 AI Sleep  Detection System")
-st.markdown("Navigate the Sleep Detection project through each CRISP-ML(Q) step.")
-
-st.header("🤖 Model Prediction")
-
-angle = st.number_input("📐 Enter Angle (0–360°)", 0.0, 360.0, step=0.1)
-enmo = st.number_input("📊 Enter ENMO (0.0000–10.0000)", 0.0, 10.0, step=0.0001, format="%.4f")
-
-if st.button("🔍 Predict Sleep State"):
-    input_data = np.array([[angle, enmo]])
-    prediction = model.predict(input_data)[0]
-    confidence = model.predict_proba(input_data)[0][prediction] * 100
-
-    label = "🌞 Wakeup" if prediction == 0 else "🌙 Sleep Onset"
-    color = "#ffcc00" if prediction == 0 else "#6699ff"
-
-    st.markdown(f"<h3 style='color:{color}'>🧠 Prediction: {label}</h3>", unsafe_allow_html=True)
-    st.markdown(f"**Confidence Score:** `{confidence:.2f}%`")
-
-    st.subheader("📋 Input Summary")
-    st.json({
-        "Angle": round(angle, 2),
-        "ENMO": round(enmo, 4),
-        "Predicted State": "Wakeup" if prediction == 0 else "Sleep Onset",
-        "Confidence (%)": round(confidence, 2)
-    })