Getting error in Sentence Chart Colored by Topic

In topic modelling, each word in the document is representative of one of the topics.We can color each word in the given documents by the topic id it is attributed to. I was trying to create a visualization following article here .The color of the enclosing rectangle can be the topic assigned to the document.

  import gensim, spacy, logging, warnings
  import gensim.corpora as corpora
  from gensim.utils import lemmatize, simple_preprocess
  from gensim.models import CoherenceModel
  import matplotlib.pyplot as plt
  # Build LDA model
  lda_model = gensim.models.ldamodel.LdaModel(corpus=corpus,
                                           id2word=id2word,
                                           num_topics=42, 
                                           random_state=0,
                                           update_every=1,
                                           chunksize=10,
                                           passes=10,
                                           iterations=100,
                                           per_word_topics=True)

Any gensim lda model can be used.
Then executed the following:

# Sentence Coloring of N Sentences
from matplotlib.patches import Rectangle

def sentences_chart(lda_model=lda_model, corpus=corpus, start = 0, end = 13):
    corp = corpus[start:end]
    mycolors = [color for name, color in mcolors.TABLEAU_COLORS.items()]

    fig, axes = plt.subplots(end-start, 1, figsize=(20, (end-start)*0.95), dpi=160)       
    axes[0].axis('off')
    for i, ax in enumerate(axes):
        if i > 0:
            corp_cur = corp[i-1] 
            topic_percs, wordid_topics, wordid_phivalues = lda_model[corp_cur]
            word_dominanttopic = [(lda_model.id2word[wd], topic[0]) for wd, topic in wordid_topics]    
            ax.text(0.01, 0.5, "Doc " + str(i-1) + ": ", verticalalignment='center',
                    fontsize=16, color='black', transform=ax.transAxes, fontweight=700)

            # Draw Rectange
            topic_percs_sorted = sorted(topic_percs, key=lambda x: (x[1]), reverse=True)
            ax.add_patch(Rectangle((0.0, 0.05), 0.99, 0.90, fill=None, alpha=1, 
                                   color=mycolors[topic_percs_sorted[0][0]], linewidth=2))

            word_pos = 0.06
            for j, (word, topics) in enumerate(word_dominanttopic):
                if j < 14:
                    ax.text(word_pos, 0.5, word,
                            horizontalalignment='left',
                            verticalalignment='center',
                            fontsize=16, color=mycolors[topics],
                            transform=ax.transAxes, fontweight=700)
                    word_pos += .009 * len(word)  # to move the word for the next iter
                    ax.axis('off')
            ax.text(word_pos, 0.5, '. . .',
                    horizontalalignment='left',
                    verticalalignment='center',
                    fontsize=16, color='black',
                    transform=ax.transAxes)       

    plt.subplots_adjust(wspace=0, hspace=0)
    plt.suptitle('Sentence Topic Coloring for Documents: ' + str(start) + ' to ' + str(end-2), fontsize=22, y=0.95, fontweight=700)
    plt.tight_layout()
    plt.show()

   sentences_chart() 

I am getting index out of range error for lines 'lda_model.id2word[wd], topic[0]'. Am I missing something.