Feat/mk/streamlit/12 jul

edsa_recommender.py

@@ -31,12 +31,33 @@
 # Data handling dependencies
 import pandas as pd
 import numpy as np
+import requests
+from PIL import Image
+from streamlit_lottie import st_lottie
+
 
 # Custom Libraries
 from utils.data_loader import load_movie_titles
 from recommenders.collaborative_based import collab_model
 from recommenders.content_based import content_model
 
+movie_image = Image.open(r'resources/imgs/Movies_AI.webp')
+logo_a= Image.open(r'resources/imgs/lens.jpeg')
+
+def load_lottieurl(url):
+	r = requests.get(url)
+	if r.status_code != 200:
+		return None
+	return r.json()
+
+# Load your raw data
+raw_m = pd.read_csv("resources/data/movies.csv")
+raw_r= pd.read_csv("resources/data/ratings.csv")
+
+#load lottie urls
+data_lottie = load_lottieurl("https://assets7.lottiefiles.com/packages/lf20_8gmx5ktv.json")
+info_lottie = load_lottieurl("https://assets1.lottiefiles.com/packages/lf20_HhOOsG.json")
+
 # Data Loading
 title_list = load_movie_titles('resources/data/movies.csv')
 
@@ -45,16 +66,18 @@ def main():
 
     # DO NOT REMOVE the 'Recommender System' option below, however,
     # you are welcome to add more options to enrich your app.
-    page_options = ["Recommender System","Solution Overview"]
+    page_options = ["Home", "Recommender System","Top Rated Movies", "Solution Overview", "Latest Movie News", "About Us"]
 
     # -------------------------------------------------------------------
     # ----------- !! THIS CODE MUST NOT BE ALTERED !! -------------------
     # -------------------------------------------------------------------
     page_selection = st.sidebar.selectbox("Choose Option", page_options)
     if page_selection == "Recommender System":
         # Header contents
-        st.write('# Movie Recommender Engine')
-        st.write('### EXPLORE Data Science Academy Unsupervised Predict')
+        head, im = st.columns(2)
+        head.title('DATA LENS ANALYTICS')
+        im.image('resources/imgs/lens.jpeg', caption = 'See the Real-Time World Through our Eyes', width = 125)
+        st.write('### Movie Recommender Engine')
         st.image('resources/imgs/Image_header.png',use_column_width=True)
         # Recommender System algorithm selection
         sys = st.radio("Select an algorithm",
@@ -100,13 +123,254 @@ def main():
     # -------------------------------------------------------------------
 
     # ------------- SAFE FOR ALTERING/EXTENSION -------------------
+    if page_selection == 'Home':
+
+
+		#define a function to access lottiee files
+
+        def load_lottieurl(url):
+            r = requests.get(url)
+            if r.status_code != 200:
+                return None
+            return r.json()
+
+        lottie_coding = load_lottieurl("https://lottie.host/c010cc98-6a3f-479a-a00a-78a84a9c56b5/iHcqx2032P.json")
+        phonecall_lottie = load_lottieurl("https://lottie.host/96d1924e-b132-4167-ad2a-fcbfb8918dbd/6TdAaxPO28.json")
+
+		# header section
+        with st.container():
+
+            st.subheader("Welcome :wave:, We are Data Lens Analytics")
+            st.image(logo_a, use_column_width=True)
+            st.write('---')
+            st.title('A Data Science Based Team Focused on Creating Real-World Data-Driven Solutions')
+            st.write(""" \n We are passionate about the use of intricately collected and analysed data to allow
+			companies and individuals to make well informed decisions""")
+
+		#what do we do?
+        with st.container():
+            st.write('---')
+            left_column, right_column = st.columns(2)
+
+            with left_column:
+                st.header("What do we do?")
+                st.write('##')
+                st.markdown(
+					"""
+					<ul> We create highly trained AI models to clients to increase productivity and overall user experience.
+					 <li>  Leveraging available data to analyse trends and usage to be later used in recommendation engines. </li>
+					 <li>  Building recommender engines to recommend products and services to users based on well researched data. </li>
+                     <li>  Building accurate classification and regression models in relation to current technological standards. </li>
+					 <li>  Developing ready to use web-applications for solution deployment. </li>
+                     </ul>
+					    """
+				, unsafe_allow_html= True)
+            with right_column:
+                st_lottie(lottie_coding, height = 300, key = "coding" )
+
+		# This project
+        with st.container():
+            st.write("---")
+            st.header("This Solution")
+            st.write("##")
+
+            image_column, text_column = st.columns((1,2))
+
+            with image_column:
+			# import the image
+                st.image(movie_image)
+            with text_column:
+                st.subheader("Generate movie predictions on our web application in a few steps")
+                st.markdown(
+					"""
+					<ul> 
+					<li>  Pick your favourite movies from a list.
+                    <li>  Select a prefered algorithm between a Content or Collaborative based one.
+                    <li>  Click on Recommend.
+                    <li>  Watch modern magic at work.
+                    </ul>
+				""", unsafe_allow_html= True)
+
+            with st.container():
+                st.write('---')
+                st.header("Get In Touch With Us")
+                st.write("We will get back to you as soon as possible")
+                st.write("##")
+                contact_form = """
+				<form action="https://formsubmit.co/[email protected]" method="POST">
+     <input type="text" name="message" placeholder = "enter a message" required>
+     <input type="email" name="email" placeholder = "enter your email" required>
+     <button type="submit">Send</button>
+</form>
+					"""
+                info_column, phonecall_column = st.columns((2,1))
+
+                with info_column:
+                    st.markdown(contact_form, unsafe_allow_html=True)   
+
+
+                with phonecall_column:
+                    st_lottie(phonecall_lottie)
+
+				#styling the contact form
+
+            def locall_css(filename):
+                with open(filename) as f:
+                    st.markdown(f"<style>{f.read()}</style", unsafe_allow_html=True)
+
+                locall_css("style/style.css")    
+
+
+    if page_selection == "Top Rated Movies":
+        # Header Contents
+        st.write("# Top Rated Movies")
+        images = ['resources/imgs/info.webp']
+        for i in images:
+            st.image(i, use_column_width=True)
+        filters = ["None", "Top rated Movies"]
+        filter_selection = st.selectbox("Fact Check", filters)
+        if filter_selection == "Top rated Movies":
+            movie_list = pd.read_csv('resources/data/movies.csv')
+            ratings = pd.read_csv('resources/data/ratings.csv')
+            df = pd.merge(movie_list, ratings, on='movieId', how='left')
+            movie_ratings = pd.DataFrame(df.groupby('title')['rating'].mean())
+            movie_ratings["Number_Of_Ratings"] = pd.DataFrame(df.groupby('title')['rating'].count())
+            indes = movie_ratings.index
+            new_list = []
+            for movie in indes:
+                i = ' '.join(movie.split(' ')[-1])
+                new_list.append(i)
+            new_lists = []
+            for i in new_list:
+                if len(i) < 2:
+                    empty = i
+                    new_lists.append(empty)
+                elif i[0] == "(" and i[-1] == ")" and len(i) == 11:
+                    R_strip = i.rstrip(i[-1])
+                    L_strip = R_strip.lstrip(R_strip[0])
+                    spaces = ''.join(L_strip.split())
+                    data_type_int = int(spaces)
+                    new_lists.append(data_type_int)
+                else:
+                    new_lists.append(i)
+            cnn = []
+            for i in new_lists:
+                if type(i) != int:
+                    i = 0
+                    cnn.append(i)
+                else:
+                    cnn.append(i)
+            movie_ratings["Year"] = cnn
+
+            def user_interaction(Year, n):
+                list_movies = movie_ratings[movie_ratings['Year'] == Year].sort_values('Number_Of_Ratings',
+                                                                                       ascending=False).index
+                return list_movies[:n]
+
+            selected_year = st.selectbox("Year released", range(1970, 2020))
+            no_of_outputs = st.radio("Movies to view", (5, 10, 20, 50))
+            output_list = user_interaction(selected_year, no_of_outputs)
+            new_list = []
+            for movie in output_list:
+                updated_line = ' '.join(movie.split(' ')[:-1])
+                updated_line = "+".join(updated_line.split())
+                new_list.append(updated_line)
+            url = "https://www.imdb.com/search/title/?title="
+            movie_links = []
+            for i in new_list:
+                links = url + i
+                movie_links.append(links)
+            dict_from_list = dict(zip(output_list, movie_links))
+            for items in dict_from_list:
+                st.subheader(items)
+
+
+
     if page_selection == "Solution Overview":
         st.title("Solution Overview")
         st.write("Describe your winning approach on this page")
 
     # You may want to add more sections here for aspects such as an EDA,
     # or to provide your business pitch.
+
+    if page_selection == "Latest Movie News":
+        st.title("Get The Latest Movie News")
+        st.write('---')
+
+        st.write("""Stay updated on matters relating to movie releases, actors,
+        awards, financing. Never miss an update on upcoming movies and ticket releas dates to
+        be the first on at the big screen. Know about your favourite films and movie stars with single click.
+
+		"""
+		)
+        st.write('##')
+        st.image("resources/imgs/news_img.webp", width=600, caption=" Source: https://www.freepik.com/")
+        st.write('---')
+        st.write("""
+		Click the button below to to get a round up of the latest news in Hollywood from around the web.
+		 You can proceed to the news source by clicking the provided link to the article
+		""")
+        btn = st.button("Click to get latest movies related news")
+
+        if btn:
+            url ="https://newsapi.org/v2/everything?" 
+            request_params = {
+		    	"q": 'hollywood OR upcomming movies OR new movies OR hollywood actors',
+				"sort by": "latest",
+				"language": 'en',
+				"apikey": "950fae5906d4465cb25932f4c5e1202c"
+			}
+            r = requests.get(url, request_params)
+            r = r.json()
+            articles = r['articles']
+
+            for article in articles:
+                st.header(article['title'])
+                if article['author']:
+                    st.write(f"Author: {article['author']}")
+                st.write(f"Source: {article['source']['name']}")
+                st.write(article['description'])
+                st.write(f"link to article: {article['url']}")
+                #st.image(article['urlToImage'])
+
+
+    if page_selection == "About Us":
+        st.title("About Us")
+        st.write("We are a team of Data Scientists and Engineers passionate about building efficient Machine Learning Models")
+        st.write("Our goal is to provide accurate movie recommendations so as to provide the ultimate user experience")
+
+        st.header("The Team")
+
+        #create space for images and their descriptions
+        col1, col2, col3 = st.columns(3)
+        des1, des2, des3 = st.columns(3)
+        col4, col5 = st.columns(2)
+        des4, des5 = st.columns(2)
+
+        col1.image('resources/imgs/Obinna.jpg', caption = "Data Engineer", width = 200)
+        col2.image('resources/imgs/Mark.jpg', caption = "Data Scientist", width = 200)
+        col3.image('resources/imgs/Salami.jpg', caption = "Data Scientist", width = 200)
+
+        des1.subheader("Obinna Ekesi")
+        des1.write("Obinna is our steadfast team leader and experienced data scientist. He has a strong background in Data analytics and Project Management.")
 
+        des2.subheader("Mark Kasavuli")
+        des2.write("Mark is an experienced data scientist and app developer. He has a strong background in Data science and Front-End App Development.")
+
+        des3.subheader("Oluwaseyi Olanike Rachael")
+        des3.write("Oluwaseyi is an experienced Project Coordinator and Data Enginner. She has background knowledge in Project Control and Data analytics.")
 
+        col4.image('resources/imgs/Musa.jpg', caption = "Data Engineer", width = 200)
+        col5.image('resources/imgs/Richard.jpg', caption = 'Data Scientist', width = 200)
+
+        des4.subheader("Musa Aliu")
+        des4.write("Musa is an experienced Data Engineer and pipeline developer. He has vast experience with Exploratory Data Analysis.")
+
+        des5.subheader("Richard Sam")
+        des5.write("Richard is an experienced Data Scientist. He as a strong background in Machine Learning Model Development and Deployment.")
+
+
+
+
 if __name__ == '__main__':
     main()