Update app.py

app.py

@@ -7,7 +7,7 @@ from gtts import gTTS
 import io
 from pydub import AudioSegment
 import time
-import pronouncing  # Phonetic library
+import re
 
 # Create audio directory if it doesn't exist
 if not os.path.exists('audio'):
@@ -78,7 +78,22 @@ def create_pronunciation_audio(word):
     except Exception as e:
         return f"Failed to create pronunciation audio: {e}"
 
-# Step 3: Compare the transcribed text with the input paragraph and add phonetic transcription
+# Function to respell words phonetically
+def phonetic_respelling(word):
+    word = word.lower()
+    respelling = word
+    # Simplified phonetic transformations
+    respelling = re.sub(r'th', 'th', respelling)  # 'th' as in 'the'
+    respelling = re.sub(r'[aeiou]', lambda m: f'{m.group(0)}', respelling)  # Simplify vowels
+    respelling = re.sub(r'c', 'k', respelling)  # 'c' sounds like 'k'
+    respelling = re.sub(r'ph', 'f', respelling)  # 'ph' as 'f'
+    respelling = re.sub(r'ch', 'ch', respelling)  # 'ch' as in 'church'
+    respelling = re.sub(r'qu', 'kw', respelling)  # 'qu' as 'kw'
+    respelling = re.sub(r'sh', 'sh', respelling)  # 'sh' as in 'shoe'
+    respelling = re.sub(r'[^a-z]', '', respelling)  # Remove non-alphabet characters
+    return respelling
+
+# Step 3: Compare the transcribed text with the input paragraph and add phonetic respelling
 def compare_texts(reference_text, transcribed_text):
     reference_words = reference_text.split()
     transcribed_words = transcribed_text.split()
@@ -101,9 +116,9 @@ def compare_texts(reference_text, transcribed_text):
     html_output += f"<strong>Quality Score:</strong> {similarity_score}%<br>"
     html_output += f"<strong>Transcribed Text:</strong> {transcribed_text}<br>"
     
-    # Add phonetic transcription for the entire sentence
-    phonetic_transcription = " ".join([pronouncing.phones_for_word(word)[0] if pronouncing.phones_for_word(word) else word for word in transcribed_words])
-    html_output += f"<strong>Phonetic Transcription:</strong> {phonetic_transcription}<br>"
+    # Add phonetic respelling for the entire sentence
+    phonetic_transcription = " ".join([phonetic_respelling(word) for word in transcribed_words])
+    html_output += f"<strong>Phonetic Respelling:</strong> {phonetic_transcription}<br>"
 
     html_output += "<strong>Word Score List:</strong><br>"
 
@@ -135,7 +150,7 @@ def compare_texts(reference_text, transcribed_text):
             html_output += f'{word}: '
             html_output += f'<audio controls><source src="{audio_src}" type="audio/mpeg">Your browser does not support the audio tag.</audio>{suggestion_text}<br>'
 
-    # Return the final result with phonetic transcription
+    # Return the final result with phonetic respelling
     return [html_output]
 
 # Step 4: Text-to-Speech Function