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RecipeML.py
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import re
import uuid
import time
import random
import pickle
import requests
from PIL import Image
import nltk
import numpy as np
from io import BytesIO
import base64
import joblib
import pandas as pd
from gtts import gTTS
from deep_translator import GoogleTranslator
import streamlit as st
import streamlit_antd_components as sac
import firebase_admin
from firebase_admin import auth, credentials
from deep_canvas.image_generation import GenerativeImageSynthesis
from feature_scape.recommendation import FeatureSpaceMatching
from cognitive_flux.recipe_generation import ProceduralTextGeneration
from backend.send_mail import MailUtils
from backend.generate_pdf import PDFUtils
from configurations.api_authtoken import AuthTokens
from configurations.resource_path import ResourceRegistry
from configurations.firebase_credentials import FirebaseCredentials
from database.mongodb import MongoDB
from database.blob_storage import AzureStorageAccount
# Set the page title and favicon to be displayed on the streamlit web application
st.set_page_config(
page_title="RecipeML",
page_icon="assets/images/favicon/recipeml_favicon.png",
)
# Remove the extra paddings from the top and bottom margin of the block container
st.markdown(
"""
<style>
.block-container {
padding-top: 0.5rem;
padding-bottom: 0rem;
}
</style>
""",
unsafe_allow_html=True,
)
# Hide the streamlit menu & the default footer from the production app's frontend
st.markdown(
"""
<style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
</style>
""",
unsafe_allow_html=True,
)
# Remove the default styling from the hyperlinks displayed on the web application
st.markdown(
"""
<style>
.stMarkdown a {
text-decoration: none;
}
</style>
""",
unsafe_allow_html=True,
)
def _valid_name(fullname):
# Validate the basic structure, and logical name based character restrictions
if not re.match(r"^[A-Z][a-z]+( [A-Z][a-z]+)*$", fullname):
return False
return True # Name is considered to be valid, only if all conditions are met
def _valid_username(username):
# Check for the minimum and maximum length of the password (i.e 4 characters)
if len(username) < 4:
return False, "MINIMUM_LENGTH_UID"
if len(username) > 25:
return False, "MAXIMUM_LENGTH_UID"
# Check for only the allowed characters: letters, numbers, underscores & dots
allowed_chars = set(
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_."
)
if not all(char in allowed_chars for char in username):
return False, "INVALID_CHARACTERS"
# Check if username start with letter. Symbols & digits must not be the first
if not username[0].isalpha():
return False, "START_WITH_LETTERS"
return (
True,
"USERNAME_VALID",
) # Username is valid, if all conditions are met
def _valid_email_address(email):
# Define the regular expression for validating the e-mail address of the user
email_regex = r"^[a-zA-Z0-9.+_-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$"
# Returns a boolean value indicating whether the mail address is valid or not
return re.match(email_regex, email) is not None
def signup_form():
if st.session_state.user_authentication_status is None:
with st.form("register_new_user_form"):
st.markdown(
'<H3 id="anchor-create-user">Register Now to Create an Account</H3>',
unsafe_allow_html=True,
)
subheading_font_color = {"dark": "#E2E2E2", "light": "#111111"}
font_color = subheading_font_color[st.session_state.themes["current_theme"]]
st.markdown(
f"<p align='justify' style='color: {font_color};'>Level up your recipe game! Get personalized recipe recommendations, create custom meal plans and more. Signup for your free RecipeML account today! Already have a account? LogIn now to get started</p>",
unsafe_allow_html=True,
)
signup_form_section_1, signup_form_section_2 = st.columns(2)
with signup_form_section_1:
name = st.text_input(
"Enter your Full Name:",
)
email = st.text_input(
"Enter your E-Mail Id:",
)
with signup_form_section_2:
username = st.text_input(
"Enter your Username:",
placeholder="Allowed characters: A-Z, 0-9, . & _",
)
phone_number = st.text_input(
"Enter Phone Number:",
placeholder="Include your Country Code (eg: +91)",
)
password = st.text_input(
"Enter your Password:",
type="password",
)
accept_terms_and_conditions = st.checkbox(
"By creating an account, you confirm your acceptance to our Terms of Use and the Privacy Policy"
)
button_section_1, button_section_2, button_section_3 = st.columns(3)
with button_section_1:
submitted = st.form_submit_button(
"Register Now", use_container_width=True
)
if submitted:
try:
if not name:
st.toast("Please enter your full name")
elif not _valid_name(name):
st.toast("Not quite! Double-check your full name.")
elif not _valid_username(username)[0]:
validation_error_message = _valid_username(username)[1]
if validation_error_message is "MINIMUM_LENGTH_UID":
st.toast("Username too short! Needs 4+ letters.")
elif validation_error_message is "MAXIMUM_LENGTH_UID":
st.toast("Username too long! Max 25 letters.")
elif validation_error_message is "INVALID_CHARACTERS":
st.toast("Username contains invalid charecters!")
time.sleep(1.5)
st.toast("Try again with valid chars (a-z, 0-9, ._)")
elif validation_error_message is "START_WITH_LETTERS":
st.toast("Start your username with a letter.")
else:
st.toast("Invalid Username! Try again.")
elif not _valid_email_address(email):
st.toast("Invalid email format. Please try again.")
elif len(password) < 8:
st.toast("Password too short! Needs 8+ characters.")
elif not accept_terms_and_conditions:
st.toast("Please accept our terms of use")
else:
firebase_admin.auth.create_user(
uid=username.lower(),
display_name=name,
email=email,
phone_number=phone_number,
password=password,
)
st.toast("Welcome to RecipeML!")
alert_successful_account_creation = st.success(
"Your Account has been created successfully"
)
time.sleep(2)
st.toast("Please login to access your account.")
time.sleep(3)
alert_successful_account_creation.empty()
except Exception as error:
if "Invalid phone number" in str(error):
st.toast("Invalid phone number format.")
time.sleep(1.5)
st.toast("Please check country code and + prefix.")
elif "PHONE_NUMBER_EXISTS" in str(error):
st.toast("User with phone number already exists")
elif "DUPLICATE_LOCAL_ID" in str(error):
st.toast("The username is already taken")
elif "EMAIL_EXISTS" in str(error):
st.toast("User with provided email already exists")
else:
alert_failed_account_creation = st.warning(
"Oops! We could not create your account. Please check your connectivity and try again."
)
time.sleep(7)
alert_failed_account_creation.empty()
def login_form():
if st.session_state.user_authentication_status is None:
with st.sidebar.form("login_existing_user_form"):
email = st.text_input(
"Username / Email Id:", placeholder="Username or email address"
)
password = st.text_input(
"Enter your Password:", type="password", placeholder="Password"
)
submitted_login = st.form_submit_button(
"LogIn to RecipeML", use_container_width=True
)
st.markdown(
" New to RecipeML? <A href='#register-now-to-create-an-account' style='color: #64ABD8;'>Create an account</A>",
unsafe_allow_html=True,
)
if st.session_state.user_authentication_status is False:
st.sidebar.error("Invalid Username or Password")
if submitted_login:
try:
api_key = auth_token.firebase_api_key
base_url = "https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key={api_key}"
if "@" not in email:
username = email
user = firebase_admin.auth.get_user(username)
email = user.email
data = {"email": email, "password": password}
response = requests.post(
base_url.format(api_key=api_key), json=data
)
if response.status_code == 200:
data = response.json()
user_display_name = data["displayName"]
user_email_id = email
user_username = firebase_admin.auth.get_user_by_email(email).uid
user_phone_number = firebase_admin.auth.get_user_by_email(
email
).phone_number
st.session_state.user_authentication_status = True
st.session_state.authenticated_user_email_id = user_email_id
st.session_state.authenticated_user_username = user_username
st.session_state.user_display_name = user_display_name
st.rerun()
else:
data = response.json()
login_error_message = str(data["error"]["message"])
if login_error_message == "INVALID_PASSWORD":
authentication_failed_alert = st.sidebar.warning(
" Invalid password. Try again.", icon="⚠️"
)
elif login_error_message == "EMAIL_NOT_FOUND":
authentication_failed_alert = st.sidebar.warning(
" User with this mail doesn't exist.",
icon="⚠️",
)
else:
authentication_failed_alert = st.sidebar.warning(
" Unable to login. Try again later.",
icon="⚠️",
)
time.sleep(2)
authentication_failed_alert.empty()
st.session_state.user_authentication_status = False
st.session_state.authenticated_user_email_id = None
st.session_state.authenticated_user_username = None
st.session_state.user_display_name = None
except Exception as err:
authentication_failed_alert = st.sidebar.warning(err, icon="⚠️")
time.sleep(2)
authentication_failed_alert.empty()
st.session_state.user_authentication_status = False
st.session_state.authenticated_user_email_id = None
st.session_state.authenticated_user_username = None
st.session_state.user_display_name = None
return (
st.session_state.user_authentication_status,
st.session_state.authenticated_user_email_id,
)
def logout_button():
if st.sidebar.button("Logout from RecipeML", use_container_width=True):
st.session_state.user_authentication_status = None
st.session_state.authenticated_user_email_id = None
st.session_state.authenticated_user_username = None
st.session_state.user_display_name = None
st.rerun()
def reset_password_form():
with st.sidebar.expander("Forgot password"):
api_key = auth_token.firebase_api_key
base_url = "https://identitytoolkit.googleapis.com/v1/accounts:sendOobCode?key={api_key}"
email = st.text_input(
"Enter your registered email id",
placeholder="Registered email address",
)
if st.button("Reset Password", use_container_width=True):
data = {"requestType": "PASSWORD_RESET", "email": email}
response = requests.post(base_url.format(api_key=api_key), json=data)
if response.status_code == 200:
alert_password_reset_mail_sent = st.success(
"A password reset mail is on its way!"
)
st.toast("Success! Password reset email sent.")
time.sleep(2)
st.toast("Check your mailbox for next steps.")
time.sleep(3)
alert_password_reset_mail_sent.empty()
else:
alert_password_reset_mail_failed = st.error(
"Failed to send password reset mail"
)
st.toast("We're having trouble sending the email.")
time.sleep(2)
st.toast("Double-check your mail id and try again")
time.sleep(3)
alert_password_reset_mail_failed.empty()
if "themes" not in st.session_state:
st.session_state.themes = {
"current_theme": "dark",
"refreshed": True,
"light": {
"theme.base": "dark",
"theme.backgroundColor": "#111111",
"theme.primaryColor": "#64ABD8",
"theme.secondaryBackgroundColor": "#181818",
"theme.textColor": "#FFFFFF",
"button_face": "🌜",
},
"dark": {
"theme.base": "light",
"theme.backgroundColor": "#fdfefe",
"theme.primaryColor": "#64ABD8",
"theme.secondaryBackgroundColor": "#f0f2f5",
"theme.textColor": "#333333",
"button_face": "🌞",
},
}
def change_streamlit_theme():
previous_theme = st.session_state.themes["current_theme"]
tdict = (
st.session_state.themes["light"]
if st.session_state.themes["current_theme"] == "light"
else st.session_state.themes["dark"]
)
for vkey, vval in tdict.items():
if vkey.startswith("theme"):
st._config.set_option(vkey, vval)
st.session_state.themes["refreshed"] = False
if previous_theme == "dark":
st.session_state.themes["current_theme"] = "light"
elif previous_theme == "light":
st.session_state.themes["current_theme"] = "dark"
if st.session_state.themes["refreshed"] == False:
st.session_state.themes["refreshed"] = True
st.rerun()
if "user_authentication_status" not in st.session_state:
st.session_state.user_authentication_status = None
if "authenticated_user_email_id" not in st.session_state:
st.session_state.authenticated_user_email_id = None
if "authenticated_user_username" not in st.session_state:
st.session_state.authenticated_user_username = None
if "user_display_name" not in st.session_state:
st.session_state.user_display_name = None
if "cache_generate_recommendations" not in st.session_state:
st.session_state.cache_generate_recommendations = False
def set_generate_recommendations_cache_to_true():
st.session_state.cache_generate_recommendations = True
def set_generate_recommendations_cache_to_false():
st.session_state.cache_generate_recommendations = False
def apply_style_to_sidebar_button(css_file_name):
with open(css_file_name, encoding="utf-8") as file:
st.markdown(f"<style>{file.read()}</style>", unsafe_allow_html=True)
if __name__ == "__main__":
if st.session_state.user_authentication_status is not True:
with st.sidebar:
selected_menu_item = sac.menu(
[
sac.MenuItem(
"RecipML v1: Home",
icon="house",
),
sac.MenuItem(
"Create an Account",
icon="layers",
tag=[sac.Tag("New", color="blue")],
),
sac.MenuItem(" ", disabled=True),
sac.MenuItem(type="divider"),
],
open_all=True,
)
if selected_menu_item == "RecipML v1: Home":
if "user_authentication_status" not in st.session_state:
st.session_state.user_authentication_status = None
if "authenticated_user_email_id" not in st.session_state:
st.session_state.authenticated_user_email_id = None
if "authenticated_user_username" not in st.session_state:
st.session_state.authenticated_user_username = None
if "user_display_name" not in st.session_state:
st.session_state.user_display_name = None
try:
firebase_credentials = FirebaseCredentials()
firebase_credentials.fetch_firebase_service_credentials(
"configurations/recipeml_firebase_secrets.json"
)
firebase_credentials = credentials.Certificate(
"configurations/recipeml_firebase_secrets.json"
)
firebase_admin.initialize_app(firebase_credentials)
except Exception as err:
pass
auth_token = AuthTokens()
authentication_status, email_id = login_form()
try:
if authentication_status is not True:
reset_password_form()
except Exception as error:
pass
try:
if authentication_status is None:
pass
except Exception as error:
pass
# Rerun the streamlit application if authentication fails for a user during login
try:
if authentication_status is False:
st.session_state.user_authentication_status = None
st.rerun()
except Exception as error:
pass
# When logged in, display the message and the logout button, and the dark message
try:
if authentication_status is True:
authentication_success_alert = st.sidebar.success(
"Succesfully logged in to RecipeML",
)
st.sidebar.markdown(
"<BR><BR><BR><BR><BR><BR><BR><BR><BR><BR>",
unsafe_allow_html=True,
)
st.sidebar.write(" ")
logout_button()
except Exception as error:
pass
resource_registry = ResourceRegistry()
try:
dotwave_image_path = (
resource_registry.loading_assets_dir + "dotwave_intro_img.gif"
)
with open(dotwave_image_path, "rb") as f:
image_data = f.read()
encoded_image = base64.b64encode(image_data).decode()
st.write(" ")
# Display base64 encoded image with rounded edge without expander
gif_image = st.markdown(
f'<BR><BR><div class="rounded-image"><img src="data:image/png;base64,{encoded_image}"></div>',
unsafe_allow_html=True,
)
except Exception as error:
st.write(error)
col1, col2 = st.columns([11.5, 1])
with col1:
st.markdown("<H1>RecipeML v1.2</H1>", unsafe_allow_html=True)
with col2:
st.markdown("<br>", unsafe_allow_html=True)
btn_face = (
st.session_state.themes["light"]["button_face"]
if st.session_state.themes["current_theme"] == "light"
else st.session_state.themes["dark"]["button_face"]
)
st.button(
btn_face,
use_container_width=True,
type="secondary",
on_click=change_streamlit_theme,
)
st.markdown(
"<H4 align='justify'>Start by describing what you are craving, or what you have on hand and unlock delicious possibilities with RecipeML, in just a single tap!</H4>",
unsafe_allow_html=True,
)
st.markdown(
"<P align='justify'>So whether it's that leftover bag of spinach, or a fridge begging for rescue - RecipeML transforms ordinary ingredients into extraordinary dishes. Feeling hungry?! LogIn to RecipeML & lets cook something amazing!",
unsafe_allow_html=True,
)
with st.form("form_subscribers"):
# st.markdown("Subscribe to receive our newsletter", unsafe_allow_html=True)
col1, col2 = st.columns([3, 1])
with col1:
st.text_input(
"",
placeholder="Enter your email id to receive latest updates",
label_visibility="collapsed",
)
with col2:
st.form_submit_button(
"Subscribe Now", use_container_width=True, type="primary"
)
if selected_menu_item == "Create an Account":
try:
firebase_credentials = FirebaseCredentials()
firebase_credentials.fetch_firebase_service_credentials(
"configurations/recipeml_firebase_secrets.json"
)
firebase_credentials = credentials.Certificate(
"configurations/recipeml_firebase_secrets.json"
)
firebase_admin.initialize_app(firebase_credentials)
except Exception as err:
pass
auth_token = AuthTokens()
# Perform authentication using streamlit authenticator, and retrieve user details
authentication_status, email_id = login_form()
try:
if authentication_status is not True:
st.write(" ")
st.markdown(
f"<BR>",
unsafe_allow_html=True,
)
signup_form()
reset_password_form()
st.markdown(
f"<BR>",
unsafe_allow_html=True,
)
except Exception as error:
pass
try:
if authentication_status is None:
pass
except Exception as error:
pass
# Rerun the streamlit application if authentication fails for a user during login
try:
if authentication_status is False:
st.session_state.user_authentication_status = None
st.rerun()
except Exception as error:
pass
# When logged in, display the message and the logout button, and the dark message
try:
if authentication_status is True:
authentication_success_alert = st.sidebar.success(
"Succesfully logged in to RecipeML",
)
st.sidebar.markdown(
"<BR><BR><BR><BR><BR><BR><BR><BR><BR><BR>",
unsafe_allow_html=True,
)
st.sidebar.write(" ")
logout_button()
except Exception as error:
pass
else:
with st.sidebar:
selected_menu_item = sac.menu(
[
sac.MenuItem(
"Recipe Generation",
icon="stars",
),
sac.MenuItem(
"Recommendations",
icon="boxes",
),
sac.MenuItem(" ", disabled=True),
sac.MenuItem(type="divider"),
],
open_all=True,
)
if selected_menu_item == "Recommendations":
if "user_authentication_status" not in st.session_state:
st.session_state.user_authentication_status = None
if "authenticated_user_email_id" not in st.session_state:
st.session_state.authenticated_user_email_id = None
if "authenticated_user_username" not in st.session_state:
st.session_state.authenticated_user_username = None
if "user_display_name" not in st.session_state:
st.session_state.user_display_name = None
auth_token = AuthTokens()
resource_registry = ResourceRegistry()
feature_space_matching = FeatureSpaceMatching()
genisys = GenerativeImageSynthesis(
image_quality="low", enable_gpu_acceleration=False
)
# Fetch preloader image from the assets directory, to be used in this app
if st.session_state.themes["current_theme"] == "dark":
loading_image_path = (
resource_registry.loading_assets_dir + "loading_img.gif"
)
else:
loading_image_path = (
resource_registry.loading_assets_dir + "loading_img_light.gif"
)
with open(loading_image_path, "rb") as f:
image_data = f.read()
encoded_image = base64.b64encode(image_data).decode()
# Load processed list of ingredients from the binary dump to a global var
try:
with open(
resource_registry.ingredients_list_path, "rb"
) as recipe_nlg_ingredients_list:
ingredients_list = joblib.load(recipe_nlg_ingredients_list)
except:
ingredients_list = [
"Bread",
"Mushroom",
"Butter",
"Onion",
"Cheese",
"Tomato",
"Orange",
]
try:
# Read CSS code from the file & allow html parsing to apply the style
apply_style_to_sidebar_button("assets/css/login_home_button_style.css")
except:
pass # Use default style if file is'nt found or if exception happens
# Create multiselect widget in the sidebar for selecting input ingredient
selected_ingredients = st.sidebar.multiselect(
"Select the ingredients",
ingredients_list,
on_change=set_generate_recommendations_cache_to_false,
)
input_ingredients = [
ingredient.lower() for ingredient in selected_ingredients
]
generate_recommendations_button = st.sidebar.button(
"Recommend Recipes",
on_click=set_generate_recommendations_cache_to_true,
use_container_width=True,
)
# Check if ingredients are selected, and recommendation button is clicked
if (
generate_recommendations_button
or st.session_state.cache_generate_recommendations
) and len(input_ingredients) > 0:
st.write(" ")
# Display preloader, as the application performs time-intensive tasks
gif_image = st.markdown(
f'<br><br><br><br><div class="rounded-image"><img src="data:image/png;base64,{encoded_image}"></div><br><br><br><br><br><br><br><br><br><br><br>',
unsafe_allow_html=True,
)
use_large_model = True
with gif_image:
# Initialize the instances for PDFUtility, and MailUtility module
pdf_utils = PDFUtils()
mail_utils = MailUtils()
if use_large_model is True:
try:
recipeml_flask_api_url = auth_token.recipeml_flask_api_url
response = requests.post(
recipeml_flask_api_url, json=input_ingredients
)
if response.status_code == 200:
# Extract and print the first recommended recipe's details from JSON response
recommended_recipes_indices = response.json()[
"recipe_id"
]
else:
use_large_model = False
except:
use_large_model = False
if use_large_model is False:
@st.cache_data(show_spinner=False)
def _load_dataset_for_inferencing():
dataset_path_1 = "data/processed/recipe_nlg_batch_datasets/recipeml_processed_data_split_1.csv"
dataset_path_2 = "data/processed/recipe_nlg_batch_datasets/recipeml_processed_data_split_2.csv"
dataset_path_3 = "data/processed/recipe_nlg_batch_datasets/recipeml_processed_data_split_3.csv"
dataset_path_4 = "data/processed/recipe_nlg_batch_datasets/recipeml_processed_data_split_4.csv"
dataset_path_5 = "data/processed/recipe_nlg_batch_datasets/recipeml_processed_data_split_5.csv"
dataset1 = pd.read_csv(dataset_path_1)
dataset2 = pd.read_csv(dataset_path_2)
dataset3 = pd.read_csv(dataset_path_3)
dataset4 = pd.read_csv(dataset_path_4)
dataset5 = pd.read_csv(dataset_path_5)
recipeml_processed_data = [
dataset1,
dataset2,
dataset3,
dataset4,
dataset5,
]
# Load data into a variable for generating the embeddings
recipe_data = pd.concat(
recipeml_processed_data, ignore_index=True
)
recipe_data.dropna(inplace=True)
return recipe_data
recipe_data = _load_dataset_for_inferencing()
# Load TF/IDF vectorizer and the feature space matching model
(
tfidf_vectorizer,
model,
) = feature_space_matching.initialize_feature_space_matching_algorithm(
recipe_data
)
# Generate the recommendations - using feature space matching
recommended_recipes_indices = (
feature_space_matching.generate_recipe_recommendations(
input_ingredients, model, tfidf_vectorizer
)
)
st.markdown(
"""
<style>
.custom-hr {
margin-top: -10px;
}
</style>
""",
unsafe_allow_html=True,
)
azure_storage_account = AzureStorageAccount(
"generated-recipe-images"
)
recommended_recipes_names = []
recommended_recipes_images = []
gif_image.empty() # Stop displaying preloader image on the front end
recommendation_id = str(uuid.uuid4())[:8]
st.markdown(
"<H2>Here are some recipes you can try</H2>", unsafe_allow_html=True
)
st.markdown(
"<P align='justify'>These recommendations are generated using Recipe ML - one of our latest AI advancements. Our goal is to learn, improve, & innovate responsibly on AI together. Check out the data security policy for our users <a href='https://recipeml-recommendations.streamlit.app/Discover_RecipeML#no-hidden-ingredients-here-recipeml-v1-3-privacy-policy' style='color: #64ABD8;'>here</A></P>",
unsafe_allow_html=True,
)
# Create three columns to display recommendations on the web app's layout
container_1, container_2, container_3 = st.columns(3)
button_width = (
225 # Set the width of each column buttons, to 256 pixels
)
st.markdown(
f"<style>.stButton button {{ width: {button_width}px; }}</style>",
unsafe_allow_html=True,
)
with container_1:
# Fetch details of the recommended recipe from the index location - 0
if use_large_model:
(
recipe_name,
recipe_type,
recipe_ingredients,
recipe_instructions,
recipe_preperation_time,
recipe_url,
) = feature_space_matching.lookup_recipe_details_by_index(
response.json(), 0, True
)
else:
(
recipe_name,
recipe_type,
recipe_ingredients,
recipe_instructions,
recipe_preperation_time,
recipe_url,
) = feature_space_matching.lookup_recipe_details_by_index(
recipe_data, recommended_recipes_indices[0]
)
# Attempt to generate image of the recipe, using Generative AI models
generated_image_path = genisys.generate_image(recipe_name, 225, 225)
if generated_image_path:
recipe_image = Image.open(generated_image_path)
else:
# Display a placeholder image if the image could not be generated
generated_image_path = (
resource_registry.placeholder_image_dir_path
+ "placeholder_1.png"
)
recipe_image = Image.open(generated_image_path).resize(
(225, 225)
)
st.image(recipe_image)
try:
recommended_recipes_images.append(
azure_storage_account.store_image_in_blob_container(
generated_image_path,
"".join(
[
char.lower()
if char.isalnum()
else "_"
if char == " "
else ""
for char in recipe_name
]
)
+ "_"
+ recommendation_id
+ ".png",
)
)
except:
recommended_recipes_images.append("unavailable")
recommended_recipes_names.append(recipe_name)
# Shorten recipe name to max 26 characters and add ellipsis if longer
if len(recipe_name) <= 26:
recipe_name = recipe_name
else:
recipe_name = recipe_name[:26] + "..."
# Display the name of the recommended recipe, as an HTML <H6> heading
st.markdown(
"<H6>" + recipe_name.title() + "</H6>", unsafe_allow_html=True
)
# Display recipe details including the source, URL & preparation time