Add food donation resources page and contacts page

foodnet.py

@@ -16,6 +16,7 @@ from concurrent.futures import ProcessPoolExecutor
 import matplotlib.pyplot as plt
 import streamlit as st
 import argparse
+from PIL import Image
 
 
 # NLTK Datasets
@@ -39,7 +40,9 @@ def recommend_ingredients(yum, leftovers, n=10):
   leftovers_embedding_sum = np.zeros([32,])
   for ingredient in leftovers:
     # pdb.set_trace()
+
     ingredient_embedding = yum.get_vector(ingredient, norm=True)
+
     leftovers_embedding_sum += ingredient_embedding
   leftovers_embedding = leftovers_embedding_sum / len(leftovers) # Embedding for leftovers
   top_matches = yum.similar_by_vector(leftovers_embedding, topn=100)
@@ -88,7 +91,7 @@ def recommend_ingredients_subsets(model, yum,leftovers, subset_size):
   '''
   all_outputs = {}
   for leftovers_subset in itertools.combinations(leftovers, subset_size):
-    leftovers_embedding_sum = np.zeros([32,])
+    leftovers_embedding_sum = np.empty([100,])
     for ingredient in leftovers_subset:
       ingredient_embedding = yum.word_vec(ingredient, use_norm=True)
       leftovers_embedding_sum += ingredient_embedding
@@ -225,68 +228,125 @@ def plot_results(names, probs, n=5):
 
   return fig
 
+def load_image(image_file):
+	img = Image.open(image_file)
+	return img
 
-if __name__ == "__main__":
-    # Initialize argparse
-    # parser = argparse.ArgumentParser()
+st.set_page_config(page_title="FoodNet", page_icon = "🍔", layout = "centered", initial_sidebar_state = "expanded")
 
-    # Defaults 
-    # data_path = 'data/all_recipes_ingredients_lemma.pkl'
-    # model_path = 'models/fastfood_lemma_4.model'
-    
-    # Arguments
-    # parser.add_argument('-d', '--dataset',        default=data_path, type=str,   help="the filepath of the dataset")
-    # parser.add_argument('-t', '--train',          default=False, type=bool,   help="the filepath of the dataset")
-    # parser.add_argument('-m', '--model',          default=model_path, type=str,   help="the filepath of the dataset")
+##### UI/UX #####
+## Sidebar ##
+add_selectbox = st.sidebar.selectbox("Pages", ("FoodNet Recommender", "Food Donation Resources", "Contact Team"))
 
-    # args = parser.parse_args()
-    # print(args)
-
-    
-    ## Train or Test ## 
-    # if args.train:
-    #   # Load Dataset
-
-    #   data = load_data(args.dataset) #pickle.load(open(args.dataset, 'rb'))
-    #   # model = train_model(data)
-    #   # model_path = input("Model filename and directory [eg. models/new_model.model]:   ")
-    #   # model.save(model_path)
-    # else:
-    # gdown.download('https://drive.google.com/uc?id=1fXGsWEbr-1BftKtOsnxc61cM3akMAIC0', 'fastfood.pth')
-    # gdown.download('https://drive.google.com/uc?id=1h_TijdSw1K9RT3dnlfIg4xtl8WPNNQmn', 'fastfood.pth.wv.vectors_ngrams.npy')
-    model, yum = load_model('fastfood.pth')
-    
+model, yum = load_model('fastfood.pth')
 
-    ##### UI/UX #####
-    ## Sidebar ##
-    add_selectbox = st.sidebar.selectbox(
-    "Food Utilization App",
-    ("FastFood Recommendation Model", "Food Donation Resources", "Contact Team")
-    )
+if add_selectbox == "FoodNet Recommender":
+    st.title("FoodNet 🍔")
+    st.write("Search for similar food ingredients. Select two or more ingredients to find complementary ingredients.")
+    st.multiselect("Type or select food ingredients", list(yum.key_to_index.keys()), default=['bread', 'lettuce'], key="leftovers")
 
-    ## Selection Tool ##
-    st.multiselect("Select leftovers", list(yum.key_to_index.keys()), default=['bread', 'lettuce'], key="leftovers")
-    
-    ## Slider ## 
-    st.slider("Number of Recommendations", min_value=1, max_value=100, value=5, step=1, key='top_n')
+    ## Slider ##
+    st.slider("Number of recommendations to show", min_value=1, max_value=100, value=5, step=1, key='top_n')
 
     ## Get food recommendation ##
     out = recommend_ingredients(yum, st.session_state.leftovers, n=st.session_state.top_n)
     names = [o[0] for o in out]
     probs = [o[1] for o in out]
 
-    st.checkbox(label="Show model score", value=False, key="probs")
+    if 'probs' not in st.session_state:
+        st.session_state['probs'] = False
+    
     if st.session_state.probs:
-      st.table(data=out)
+        st.table(data=out)
     else:
-      st.table(data=names)
-
+        st.table(data=names)
+        
+    st.checkbox(label="Show model scores", value=False, key="probs")
     ## Plot Results ##
-    st.checkbox(label="Show model bar chart", value=False, key="plot")
+    st.checkbox(label="Show results bar chart", value=False, key="plot")
     if st.session_state.plot:
-      fig = plot_results(names, probs, st.session_state.top_n)
-      
-      ## Show Plot ## 
-      st.pyplot(fig)
-
-  
+        fig = plot_results(names, probs, st.session_state.top_n)
+
+        ## Show Plot ##
+        st.pyplot(fig)
+
+elif add_selectbox == "Food Donation Resources":
+    st.title('Food Donation Resources')
+    st.subheader('Pittsburgh Food Bank:')
+    st.write("In 2000, the Food Bank opened the doors on its facility in Duquesne."
+              "This facility was the first LEED-certified building in Pittsburgh and the first LEED-certified "
+              "food bank in the nation. Learn more about that facility here. "
+              "Today, we work with a network of more than 850 partners across the 11 counties we serve. "
+              "In addition to sourcing, warehousing and distributing food, the Food Bank is actively engaged in "
+              "stabilizing lives and confronting issues of chronic hunger, poor nutrition and health. "
+              "And, through our advocacy efforts, we have become a primary driver in comprehensive anti-hunger "
+              "endeavors regionally, statewide and at the national level."
+              )
+    st.write("Check out this [link](https://pittsburghfoodbank.org/)👈")
+    st.subheader('412 Food Rescue:')
+    st.write("412 Food Rescue is a nonprofit organization dedicated to ending hunger by organizing "
+              "volunteers to deliver surplus food to insecure communities instead of landfills."
+              "Since its creation in 2015, the organization has redistributed over three million pounds of food through "
+              "the use of its mobile application, Food Rescue Hero. They are currently rolling out the app nationwide."
+              )
+    st.write("Check out this [link](https://412foodrescue.org/)👈")
+
+    # st.subheader('Image')
+    # st.multiselect("Select leftovers:", list(yum.key_to_index.keys()), key="leftovers")
+    # image_file = st.file_uploader("Upload Food Image:", type=["png", "jpg", "jpeg"])
+    # if image_file is not None:
+    #     # To See details
+    #     file_details = {"filename": image_file.name, "filetype": image_file.type,
+    #                     "filesize": image_file.size}
+    #     st.write(file_details)
+    #
+    #     # To View Uploaded Image
+    #     st.image(load_image(image_file), width=250)
+if add_selectbox == "Contact Team":
+    st.title('Contact Team')
+    st.subheader('David Chuan-En Lin')
+    col1, mid, col2 = st.columns([20, 2, 10])
+    with col1:
+        st.write('Pronouns: he/him/his')
+        st.write(
+            'Research/career interests: Human-AI Co-Design by (1) building ML-infused creativity support tools and '
+            '(2) investigating how such tools augment design processes')
+        st.write('Favorite Food: Ice cream sandwich')
+        st.write('A painfully boring fact: Second-year PhD at HCII SCS')
+        st.write('Hobbies: Making travel videos, graphic design, music')
+        st.write('Email: [email protected]')
+    with col2:
+        st.image('https://chuanenlin.com/images/me.jpg', width=300)
+
+    st.subheader('Mitchell Fogelson')
+    col1, mid, col2 = st.columns([20, 2, 10])
+    with col1:
+        st.write('Pronouns: he/him/his')
+        st.write('Favorite Food: Deep Dish Pizza')
+        st.write('Email: [email protected]')
+    with col2:
+        st.image('https://images.squarespace-cdn.com/content/v1/562661f3e4b0ae7c10f0a2cc/1590528961389-2142HA48O7LRZ9FWGP0F/about_image.jpg?format=2500w', width=300)
+
+    st.subheader('Sunny Yang')
+    col1, mid, col2 = st.columns([20, 2, 10])
+    with col1:
+        st.write('Pronouns: She/Her/Hers')
+        st.write('Research/career interests: Product Manager')
+        st.write('Favorite Food: Sushi')
+        st.write('A painfully boring fact: I do not like rainy:(')
+        st.write('Hobbies: Viola, Basketball')
+        st.write('Email: [email protected]')
+    with col2:
+        st.image('https://media-exp1.licdn.com/dms/image/C4D03AQF37KjK_GYwzA/profile-displayphoto-shrink_400_400/0/1638326708803?e=1643846400&v=beta&t=q10CTNCG6h5guez1YT0j4j_oLlrGJB_8NugaBOUSAGg', width=300)
+
+    st.subheader('Shihao Xu')
+    col1, mid, col2 = st.columns([20, 2, 10])
+    with col1:
+        st.write('Pronouns: he/him/his')
+        st.write('Research/career interests: Autonomous Vehicle')
+        st.write('Favorite Food: Dumplings')
+        st.write('A painfully boring fact:  Covid is still not gone')
+        st.write('Hobbies: photography')
+        st.write('Email: [email protected]')
+    with col2:
+        st.image('https://scontent-ort2-1.xx.fbcdn.net/v/t39.30808-6/261420667_131245119324840_3342182275866550937_n.jpg?_nc_cat=100&ccb=1-5&_nc_sid=730e14&_nc_ohc=IP7khn2w6cwAX_wC85x&_nc_ht=scontent-ort2-1.xx&oh=063c2b6b0ed5e9fc10adb2c391c471cf&oe=61AA72C1', width=300)