Update app.py

app.py

@@ -2,38 +2,13 @@ import streamlit as st
 import pandas as pd
 import pickle
 
-# from huggingface_hub import login
-
-# # Use your Hugging Face token
-# login(token="hf_XmkhAdKiaTYaQbgMoGTYRqBFDFVAjvbTI")
-
-
+# Load the fitted model
 model = pickle.load(open('model (9).pkl', 'rb'))
 
-# from huggingface_hub import create_repo
-
-# # Replace 'your_model_name' with the name you want for your model
-# repo_url = create_repo(name='Almond Classification', private=False)
-
 st.title('Almond Classification')
 st.write('This web app classifies almonds based on your input features.')
 
-
-# # Input untuk setiap fitur
-# length_major_axis = st.number_input('Length (major axis)', min_value=269.356903, max_value=279.879883)
-# width_minor_axis = st.number_input('Width (minor axis)', min_value=176.023636, max_value=227.940628)
-# thickness_depth = st.number_input('Thickness (depth)', min_value=0.0, max_value=279.879883)
-# area = st.number_input('Area', min_value=0.0, max_value=279.879883)
-# perimeter = st.number_input('Perimeter', min_value=0.0, max_value=279.879883)
-# roundness = st.slider('Roundness', min_value=0.0, max_value=1.0, step=0.01)
-# solidity = st.slider('Solidity', min_value=0.0, max_value=1.0, step=0.01)
-# compactness =  st.slider('Compactness', min_value=0.0, max_value=1.0, step=0.01)
-# aspect_ratio =  st.slider('Aspect Ratio', min_value=0.0, max_value=5.0, step=0.01)
-# eccentricity = st.slider('Eccentricity', min_value=0.0, max_value=1.0, step=0.01)
-# extent = st.slider('Extent', min_value=0.0, max_value=1.0, step=0.01)
-# convex_area = st.number_input('Convex hull (convex area)', min_value=0.0, step=0.01)
-
-
+# Input untuk setiap fitur
 length_major_axis = st.number_input('Length (major axis)', min_value=269.356903, max_value=279.879883)
 width_minor_axis = st.number_input('Width (minor axis)', min_value=176.023636, max_value=227.940628)
 thickness_depth = st.number_input('Thickness (depth)', min_value=107.253448, max_value=127.795132)
@@ -47,7 +22,6 @@ eccentricity = st.slider('Eccentricity', min_value=0.75693, max_value=0.81012, s
 extent = st.slider('Extent', min_value=0.656535, max_value=0.725739, step=0.01)
 convex_area = st.number_input('Convex hull (convex area)', min_value=18068.0, max_value=36683.0, step=0.01)
 
-
 # Tombol untuk memprediksi
 if st.button('Predict'):
     input_features = [[length_major_axis, width_minor_axis, thickness_depth, area,