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.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+recipes.json filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,95 @@
+import streamlit as st
+import pandas as pd
+import json
+import time
+from urllib.request import urlopen
+from bs4 import BeautifulSoup
+  
+
+# import the dataset
+df = pd.read_json('recipes.json')
+df['liststring'] = [','.join(map(str, l)) for l in df['Ingredients']]
+
+st.write("#### Was koche ich heute?")
+
+## Sidebar
+def user_input_features():
+    ingre1 = st.sidebar.text_input("Zutat 1")
+    ingre2 = st.sidebar.text_input("Zutat 2", key = "zutat2")
+    ingre3 = st.sidebar.text_input("Zutat 3", key = "zutat3")
+    list_ingre = [ingre1, ingre2, ingre3]
+    return list_ingre
+st.sidebar.write("Was hast du schon im Kühlschrank?")
+ingre = user_input_features()
+results_ingredients = st.sidebar.button("Suchen")
+st.sidebar.write("oder")
+results = st.sidebar.button("Überrasch mich!")
+
+
+# Sort the dataset
+#create a dataframe "new" with all the ingredients that are in the list ingre
+new = df[df['liststring'].apply(lambda x: ingre[0] in x)]
+if ingre[1]:
+    new = new[new['liststring'].apply(lambda x: ingre[1] in x)]
+if ingre[2]:
+    new = new[new['liststring'].apply(lambda x: ingre[2] in x)]
+#new = df[df['liststring'].apply(lambda x: ingre in x)]
+
+col1, col2 = st.columns(2)
+
+if not new.empty:
+    if results_ingredients:
+        bla = new.sample(1)
+       
+       #Opening header images
+        url = str(bla["Url"].iloc[0])
+        htmldata = urlopen(url)
+        soup = BeautifulSoup(htmldata, 'html.parser')
+        images = soup.find_all('img')
+        image = images[2]['src']
+
+        #Opening the Rest
+        zutaten = bla["Ingredients"].iloc[0]
+        instructions = str(bla["Instructions"].iloc[0])
+        name = str(bla["Name"].iloc[0])
+        with col1:
+            st.write("# " + name)
+            for i in zutaten:
+                st.write("* "+i)
+            
+        with col2:
+            st.image(image)
+            st.text_area("Anleitung", instructions, height=300)
+else:
+    st.write("###  Sorry, nichts gefunden...")
+
+# Next
+if results:
+    new_sample = df.sample(1)
+
+    #Opening header images
+    url = str(new_sample["Url"].iloc[0])
+    htmldata = urlopen(url)
+    soup = BeautifulSoup(htmldata, 'html.parser')
+    images = soup.find_all('img')
+    image = images[2]['src']
+
+    # Rest
+    zutaten = new_sample["Ingredients"].iloc[0]
+    instructions = str(new_sample["Instructions"].iloc[0])
+    name = str(new_sample["Name"].iloc[0])
+    with col1:
+        st.write("# " + name)
+        for i in zutaten:
+            st.write("* "+i)
+    with col2:
+        st.image(image)
+        st.text_area("Anleitung", instructions, height=300)
+
+
+
+
+
+
+
+ 

recipes.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cf88f3e3c914b37a31fa4606e399cf958e25fa1900c6f597d26072f6719188a
+size 17193424