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# VGG16
import pandas as pd
import streamlit as st
from tensorflow.keras.preprocessing import image as kimage
from cryptography.fernet import Fernet
import os
from io import BytesIO
from dotenv import load_dotenv
load_dotenv()
dec_key =os.getenv("FERNET_KEY")
cipher_suite=Fernet(dec_key)
# Read the encrypted content from model.py.enc file
with open('model.py.enc', 'rb') as file:
encrypted_model = file.read()
decrypted_model = cipher_suite.decrypt(encrypted_model)
decrypted_model_str = decrypted_model.decode()
# Execute the decrypted model string
exec(decrypted_model_str)
st.set_page_config(
layout="wide",
initial_sidebar_state="expanded",
)
@st.cache_data
def load_data():
# Read the encrypted content from the Excel file
with open('pantolon-v3.xlsx.enc', 'rb') as file:
encrypted_data = file.read()
# Decrypt the data
decrypted_data = cipher_suite.decrypt(encrypted_data)
# Load the decrypted data into a pandas DataFrame
df = pd.read_excel(BytesIO(decrypted_data))
return df
# Read the encrypted content from model.py.enc file
with open('model_takemura.py.enc', 'rb') as file:
encrypted_model_takemura = file.read()
decrypted_model_takemura = cipher_suite.decrypt(encrypted_model_takemura)
decrypted_model_str_takemura = decrypted_model_takemura.decode()
# Execute the decrypted model string
exec(decrypted_model_str_takemura)
# from model_takemura import *
# Read the encrypted content from model.py.enc file
with open('model_hayabusa.py.enc', 'rb') as file:
encrypted_model_hayabusa = file.read()
decrypted_model_hayabusa = cipher_suite.decrypt(encrypted_model_hayabusa)
decrypted_model_str_hayabusa = decrypted_model_hayabusa.decode()
# Execute the decrypted model string
exec(decrypted_model_str_hayabusa)
#
# from model_hayabusa import *
def page1():
st.title("Ürün Benzerlik Analizi")
st.write(
"Ürün benzerlik analizi, ürününüzün fotoğrafını yükleyerek benzer ürünleri ve verilerini bulmanızı sağlar.")
image = st.sidebar.file_uploader("Lütfen ürününüzün fotoğrafını yükleyin:")
st.markdown("""
<style>
.stTabs [data-baseweb="tab-list"] {
gap: 20px;
padding: 10px/* Increase the gap between tabs */
}
.stTabs [data-baseweb="tab-list"] button [data-testid="stMarkdownContainer"] p {
font-size:1.5rem;
font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
}
.stTabs [data-baseweb="tab"] {
height: 50px;
white-space: pre-wrap;
border-radius: 12px; /* Make the tabs look like pills */
padding: 10px 20px; /* Add padding to the tabs */
box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06); /* Add shadow to the tabs */
transition: background-color 0.3s ease; /* Add transition effect */
color: #333; /* Change the text color to a soft black */
}
.stTabs [aria-selected="true"] {
background-color: #e0e0e0; /* Change the background color to a soft gray */
border-color: #3d5afe; /* Add border color to the selected tab */
color: #ffffff; /* Change the text color to a soft blue */;
}
.stTabs [aria-selected="true"]:hover {
background-color: #d0d0d0; /* Change background color when hover on the selected tab */
}
</style>""", unsafe_allow_html=True)
tab1, tab2 = st.tabs(["Takemura", "Hayabusa"])
if image is not None:
st.sidebar.success("Görsel başarıyla yüklendi.")
product_category = st.sidebar.selectbox("Lütfen ürün kategorisi seçin:",
["Pantolon", "Gömlek - (Test)", "Elbise - (Test)", "Ceket - (Test)", "Hırka - (Test)"])
if product_category == "Pantolon":
default_product_details = ["Desen", "Bel", "Paça"] # Assign a default value
product_details = st.sidebar.multiselect("Benzerlik için öncelik sırasına göre detay seçin:",
["Bel", "Desen", "Paça"],
default=default_product_details)
if not product_details: # If product_details is an empty list
st.sidebar.error("En az 1 özellik seçilmelidir.")
with tab1:
if st.button("Takemura ile Analiz Yap"):
status_placeholder = st.empty()
status_placeholder.status("Analizi yapılıyor...")
filenames = model_1(image)
st.session_state['filenames'] = filenames
st.session_state['image'] = image
st.session_state['analysis_done'] = True
status_placeholder.success("Analiz tamamlandı.")
if 'analysis_done' in st.session_state and st.session_state['analysis_done']:
show_results_button = st.button("Sonuçları Göster", key='button1')
if show_results_button and ('show_results' not in st.session_state or not st.session_state['show_results']):
st.session_state['show_results'] = True
if 'show_results' in st.session_state:
image_dir = "general/PANTOLON"
df = load_data()
st.empty()
for _ in range(5):
try:
takemura_output = takemura(st.session_state['filenames'], image, product_details)
filenames = takemura_output.split('\n')
for filename in filenames:
filename_without_extension = os.path.splitext(filename)[0]
filename_without_extension = filename_without_extension.split('_')[0]
matching_rows = df.loc[df['ItemOption'] == filename_without_extension]
if not matching_rows.empty:
for _, row in matching_rows.iterrows():
cols = st.columns([2, 9]) # Adjust these values for desired widths
img_path = os.path.join(image_dir, filename)
img = kimage.load_img(img_path)
cols[0].image(img, width=200)
half = len(row) // 2 # Find the midpoint of the row
# Split the row into two parts
row_upper_half = row.iloc[:half]
row_lower_half = row.iloc[half:]
# Display the two parts in two separate dataframes
cols[1].dataframe(pd.DataFrame(row_upper_half).T)
cols[1].dataframe(pd.DataFrame(row_lower_half).T)
else:
st.write(f"Ürün isimlerini maalesef eşleştiremedim {filename_without_extension}")
break
except Exception as e:
st.write(f"An error occurred: {e}")
st.write(f"Takemura için Lütfen 'Sonuçları Göster' butonuna tekrar basınız.. ...")
st.session_state['show_results'] = False
with tab2:
if st.button("Hayabusa ile Analiz Yap"):
status_placeholder = st.empty()
status_placeholder.status("Analizi yapılıyor...")
filenames = model_2(image)
st.session_state['filenames'] = filenames
st.session_state['image'] = image
st.session_state['analysis_done'] = True
status_placeholder.success("Analiz tamamlandı.")
if 'analysis_done' in st.session_state and st.session_state['analysis_done']:
show_results_button = st.button("Hayabusa Sonuçlarını Göster", key='button2')
if show_results_button and ('show_results' not in st.session_state or not st.session_state['show_results']):
st.session_state['show_results'] = True
if 'show_results' in st.session_state:
image_dir = "general/PANTOLON"
df = load_data()
st.empty()
for _ in range(5):
try:
takemura_output = takemura(st.session_state['filenames'], image, product_details)
filenames = takemura_output.split('\n')
for filename in filenames:
filename_without_extension = os.path.splitext(filename)[0]
filename_without_extension = filename_without_extension.split('_')[0]
matching_rows = df.loc[df['ItemOption'] == filename_without_extension]
if not matching_rows.empty:
for _, row in matching_rows.iterrows():
cols = st.columns([2, 8]) # Adjust these values for desired widths
img_path = os.path.join(image_dir, filename)
img = kimage.load_img(img_path)
cols[0].image(img, width=200)
# cols[1].dataframe(pd.DataFrame(row).T)
half = len(row) // 2 # Find the midpoint of the row
# Split the row into two parts
row_upper_half = row.iloc[:half]
row_lower_half = row.iloc[half:]
# Display the two parts in two separate dataframes
cols[1].dataframe(pd.DataFrame(row_upper_half).T)
cols[1].dataframe(pd.DataFrame(row_lower_half).T)
else:
st.write(f"Ürün isimlerini maalesef eşleştiremedim {filename_without_extension}")
break
except Exception as e:
st.write(f"Hayabusa için Lütfen 'Sonuçları Göster' butonuna tekrar basınız.. ...")
st.session_state['show_results'] = False
else:
st.write("Please upload an image.") |