Update app.py

app.py

@@ -114,10 +114,11 @@ def compare_texts(reference_text, transcribed_text):
     # Generate colored word score list
     for i, word in enumerate(reference_words):
         try:
-            if word.lower() == transcribed_words[i].lower():
+            # Compare with transcribed words and assign quality scores
+            if i < len(transcribed_words) and word.lower() == transcribed_words[i].lower():
                 word_score_list.append({"quality_score": 100, "word": word})
                 html_output += f'<span style="color: green;">{word}</span> '  # Correct words in green
-            elif difflib.get_close_matches(word, [transcribed_words[i]]):
+            elif i < len(transcribed_words) and difflib.get_close_matches(word, [transcribed_words[i]]):
                 word_score_list.append({"quality_score": 80, "word": word})  # Close matches
                 html_output += f'<span style="color: yellow;">{word}</span> '  # Close matches in yellow
             else:
@@ -145,6 +146,7 @@ def compare_texts(reference_text, transcribed_text):
     # Return structured data
     return [html_output, word_score_list]
 
+
 # Step 4: Text-to-Speech Function
 def text_to_speech(paragraph):
     if not paragraph: