Update Day-31

Author: abhijeetpandit7

Day-31-FlashCard/README.md

@@ -0,0 +1,5 @@
+# Flash Card
+
+### An implementation of Flash-Card
+
+<img src= 'https://user-images.githubusercontent.com/65078610/107116019-a22a5b00-6896-11eb-8d52-cf0592769724.gif' width="600">

Day-31-FlashCard/data/French_words.csv

@@ -0,0 +1,102 @@
+French,English
+partie,part
+histoire,history
+chercher,search
+seulement,only
+police,police
+pensais,thought
+aide,help
+demande,request
+genre,kind
+mois,month
+frère,brother
+laisser,let
+car,because
+mettre,to put
+aucun,no
+laisse,leash
+eux,them
+ville,city
+chaque,each
+parlé,speak
+arrivé,come
+devrait,should
+bébé,baby
+longtemps,long time
+heures,hours
+vont,will
+pendant,while
+revoir,meet again
+aucune,any
+place,square
+parle,speak
+compris,understood
+savais,knew
+étaient,were
+attention,Warning
+voici,here is
+pourrais,could
+affaire,case
+donner,give
+type,type
+leurs,their
+donné,given
+train,train
+corps,body
+endroit,place
+yeux,eyes
+façon,way
+écoute,listen
+dont,whose
+trouve,find
+premier,first
+perdu,lost
+main,hand
+première,first
+côté,side
+pouvoir,power
+vieux,old
+sois,be
+tiens,here
+matin,morning
+tellement,so much
+enfant,child
+point,point
+venu,came
+suite,after
+pardon,sorry
+venez,come
+devant,in front of
+vers,towards
+minutes,minutes
+demandé,request
+chambre,bedroom
+mis,placed
+belle,beautiful
+droit,law
+aimerais,would like to
+aujourd'hui,today
+mari,husband
+cause,cause
+enfin,finally
+espère,hope
+eau,water
+attendez,Wait
+parti,left
+nouvelle,new
+boulot,job
+arrêter,Stop
+dirait,would say
+terre,Earth
+compte,account
+donne,given
+loin,far
+fin,end
+croire,believe
+chérie,sweetheart
+gros,large
+plutôt,rather
+aura,will have
+filles,girls
+jouer,to play
+bureau,office

Day-31-FlashCard/data/Punjabi_words.csv

@@ -0,0 +1,103 @@
+Punjabi,English
+main,I
+tūn,thou
+asīn,we
+ih,this
+uh,that
+kaun,who
+kī,what
+nahīn,not
+sabh,all
+bahut,many
+ikk,one
+do,two
+vadda,big
+lamba,long
+choṭa,small
+zanāni,woman
+ādami,"man
+(adult male)"
+manukh,"man
+(human being)"
+panchhi,bird
+kutta,dog
+jūn,louse
+darakhat,tree
+bi,seed
+patta,leaf
+jar,root
+chhill,bark
+chamri,skin
+mās,meat
+khūn,blood
+haddi,bone
+charbi,fat (n.)
+agg,fire
+anda,egg
+sing,horn
+pūnchh,tail
+khambh,feather
+machchhi,fish
+vāl,hair
+sir,head
+kann,ear
+akkh,eye
+nahun,fingernail
+nakk,nose
+mūnh,mouth
+dand,tooth
+jībh,tongue
+pair,foot
+goda,knee
+hatth,hand
+dhidd,belly
+gardan,neck
+chhāti,breast
+dil,heart
+jigar,liver
+pīna,drink
+khāna,eat
+kattna,bite
+dekhna,see
+sunna,hear
+jānna,know
+sauna,sleep
+marna,die
+mārna,kill
+tairna,swim
+uddna,fly (v.)
+turna,walk
+auna,come
+letna,lie
+baithna,sit
+kharna,stand
+dena,give
+kahina,say
+sūraj,sun
+chand,moon
+tāra,star
+pāni,water
+mīnh,rain
+patthar,stone
+reta,sand
+dharti,earth
+baddal,cloud
+dhūān,smoke
+suāh,ashes
+sārna,burn
+sarak,road
+pahār,mountain
+lāl,red
+hara,green
+pīla,yellow
+chitta,white
+kāla,black
+rāt,night
+garam,warm
+thanda,cold
+pūra,full
+navān,new
+changa,good
+gol,round
+sukka,dry
+nām,name

Day-31-FlashCard/data/words_to_learn.csv

@@ -0,0 +1,88 @@
+Punjabi,English
+main,I
+tūn,thou
+asīn,we
+ih,this
+uh,that
+kaun,who
+kī,what
+nahīn,not
+sabh,all
+ikk,one
+do,two
+vadda,big
+lamba,long
+choṭa,small
+zanāni,woman
+ādami,"man
+(adult male)"
+manukh,"man
+(human being)"
+panchhi,bird
+kutta,dog
+jūn,louse
+darakhat,tree
+patta,leaf
+jar,root
+chamri,skin
+mās,meat
+khūn,blood
+haddi,bone
+charbi,fat (n.)
+agg,fire
+anda,egg
+sing,horn
+pūnchh,tail
+khambh,feather
+machchhi,fish
+vāl,hair
+sir,head
+kann,ear
+akkh,eye
+nahun,fingernail
+nakk,nose
+mūnh,mouth
+dand,tooth
+jībh,tongue
+goda,knee
+dhidd,belly
+gardan,neck
+chhāti,breast
+dil,heart
+jigar,liver
+pīna,drink
+khāna,eat
+kattna,bite
+jānna,know
+sauna,sleep
+marna,die
+mārna,kill
+uddna,fly (v.)
+turna,walk
+auna,come
+kharna,stand
+dena,give
+kahina,say
+sūraj,sun
+chand,moon
+tāra,star
+mīnh,rain
+patthar,stone
+reta,sand
+dharti,earth
+baddal,cloud
+dhūān,smoke
+suāh,ashes
+sārna,burn
+sarak,road
+pahār,mountain
+hara,green
+pīla,yellow
+chitta,white
+kāla,black
+garam,warm
+thanda,cold
+navān,new
+changa,good
+gol,round
+sukka,dry

Day-31-FlashCard/images/card_back.png

@@ -0,0 +1,76 @@
+from tkinter import *
+import random
+import pandas as pd
+
+BACKGROUND_COLOR = "#B1DDC6"
+FONT1 = ('Ariel',40,'italic')
+FONT2 = ('Ariel',60,'bold')
+
+try:
+    df = pd.read_csv('./data/words_to_learn.csv')
+except:
+    df = pd.read_csv('./data/Punjabi_words.csv')
+rows = df.shape[0]
+from_lang = df.columns[0]
+to_lang = df.columns[1]
+# Can convert to various dictionary types, eg.records
+to_learn = df.to_dict(orient='records')
+
+window = Tk()
+window.title('Flashy')
+window.minsize(width=500, height=500)
+window.config(padx=50, pady=50, bg=BACKGROUND_COLOR)
+
+# Canvas
+front_img = PhotoImage(file='./images/card_front.png')
+back_img = PhotoImage(file='./images/card_back.png')
+canvas = Canvas(width=800, height=526, bg=BACKGROUND_COLOR, highlightthickness=0)
+card_image = canvas.create_image(400, 263, image=front_img)
+canvas.grid(row=1, column=1, columnspan=2)
+card_title = canvas.create_text(400, 150, font=FONT1)
+card_word = canvas.create_text(400, 263, font=FONT2)
+
+def flip_card():
+    global current_card
+    # new_word = to_learn[rnd_row][to_lang]
+    canvas.itemconfig(card_image, image=back_img)
+    canvas.itemconfig(card_word, text=current_card[to_lang], fill='white')
+    canvas.itemconfig(card_title, text=to_lang, fill='white')
+
+current_card = random.choice(to_learn)
+flip_timer = window.after(3000, flip_card, current_card)
+
+def pop_card():
+    global current_card
+    to_learn.remove(current_card)
+    new_df = pd.DataFrame(to_learn)
+    new_df.to_csv('./data/words_to_learn.csv', index=False)
+    next_card()
+
+def next_card():
+    global current_card, flip_timer, to_learn
+    window.after_cancel(flip_timer)
+    # rnd_row = random.randint(0,rows)
+    # # Using dataframe directly
+    # new_word =  df[from_lang][rnd_row]
+    # Using dictionary
+    if (len(to_learn)==0):
+        df = pd.read_csv('./data/Punjabi_words.csv')
+        to_learn = df.to_dict(orient='records')
+    current_card = random.choice(to_learn)
+    canvas.itemconfig(card_image, image=front_img)
+    canvas.itemconfig(card_word, fill='black', text=current_card[from_lang])
+    canvas.itemconfig(card_title, fill='black', text=from_lang)
+    flip_timer = window.after(3000, flip_card)
+
+# Button
+cross_img = PhotoImage(file='./images/wrong.png')
+unknown_btn = Button(image=cross_img, highlightthickness=0, command=next_card)
+unknown_btn.grid(row=2, column=1)
+check_img = PhotoImage(file='./images/right.png')
+known_btn = Button(image=check_img, highlightthickness=0, command=pop_card)
+known_btn.grid(row=2, column=2)
+
+next_card()
+
+window.mainloop()