added lyrics generator

Basic-Scripts/Lyrics-Generator/all-of-me.txt

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+What would I do without your smart mouth
+Drawing me in, and you kicking me out
+Got my head spinning, no kidding, I can't pin you down
+What's going on in that beautiful mind
+I'm on your magical mystery ride
+And I'm so dizzy, don't know what hit me, but I'll be alright
+My head's under water
+But I'm breathing fine
+You're crazy and I'm out of my mind
+'Cause all of me
+Loves all of you
+Love your curves and all your edges
+All your perfect imperfections
+Give your all to me
+I'll give my all to you
+You're my end and my beginning
+Even when I lose I'm winning
+'Cause I give you all, all of me
+And you give me all, all of you
+How many times do I have to tell you
+Even when you're crying you're beautiful too
+The world is beating you down, I'm around through every move
+You're my downfall, you're my muse
+My worst distraction, my rhythm and blues
+I can't stop singing, it's ringing, I my head for you
+My head's under water
+But I'm breathing fine
+You're crazy and I'm out of my mind
+'Cause all of me
+Loves all of you
+Love your curves and all your edges
+All your perfect imperfections
+Give your all to me
+I'll give my all to you
+You're my end and my beginning
+Even when I lose I'm winning
+'Cause I give you all of me
+And you give me all, all of you
+Cards on the table, we're both showing hearts
+Risking it all, though it's hard
+'Cause all of me
+Loves all of you
+Love your curves and all your edges
+All your perfect imperfections
+Give your all to me
+I'll give my all to you
+You're my end and my beginning
+Even when I lose I'm winning
+'Cause I give you all of me
+And you give me all of you
+I give you all, all of me
+And you give me all, all of you

Basic-Scripts/Lyrics-Generator/lyrics_gen.py

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+import numpy as np
+def generatetable(text,k=4):
+  T={}
+  for i in range(len(text)-k):
+    X=text[i:i+k]
+    Y=text[i+k]
+    #print(X,Y)
+    if T.get(X) is None:
+      T[X]={}
+      T[X][Y]=1
+    else:
+      if T[X].get(Y) is None:
+        T[X][Y]=1
+      else:
+        T[X][Y] +=1
+  return T
+
+def convertFreqIntoProb(T):     
+    for kx in T.keys():
+        s = float(sum(T[kx].values()))
+        for k in T[kx].keys():
+            T[kx][k] = T[kx][k]/s
+
+    return T
+
+
+def load_text(filename):
+    with open(filename,encoding='utf8') as f:
+        return f.read().lower()
+
+
+def train(text,k=4):
+  T = generatetable(text,k)
+  T = convertFreqIntoProb(T)
+
+  return T
+
+
+def sample_next(ctx,T,k):
+    ctx = ctx[-k:]
+    if T.get(ctx) is None:
+        return " "
+    possible_Chars = list(T[ctx].keys())
+    possible_values = list(T[ctx].values())
+
+    return np.random.choice(possible_Chars,p=possible_values)
+
+
+def generateText(starting_sent,k=4,maxLen=1000):
+
+    sentence = starting_sent
+    ctx = starting_sent[-k:]
+
+    for ix in range(maxLen):
+        next_prediction = sample_next(ctx,model,k)
+        sentence += next_prediction
+        ctx = sentence[-k:]
+    return sentence
+
+
+files="all-of-me.txt"
+data= load_text(files)
+model=train(data)
+x = input("Enter the beginning word: ")
+text = generateText(x,k=4,maxLen=2000)
+print(text)