Update app.py

app.py

@@ -23,11 +23,19 @@ def transcribe_audio(audio):
     except sr.RequestError as e:
         return f"Error with Google Speech Recognition service: {e}"
 
-# Step 2: Compare the transcribed text with the input paragraph
+# Step 2: Create pronunciation audio for incorrect words
+def create_pronunciation_audio(word):
+    tts = gTTS(word)
+    audio_filename = f"pronunciation_{word}.mp3"
+    tts.save(audio_filename)
+    return audio_filename
+
+# Step 3: Compare the transcribed text with the input paragraph
 def compare_texts(reference_text, transcribed_text):
     word_scores = []
     reference_words = reference_text.split()
     transcribed_words = transcribed_text.split()
+    incorrect_words_audio_links = []  # Store audio links for incorrect words
 
     sm = difflib.SequenceMatcher(None, reference_text, transcribed_text)
     similarity_score = round(sm.ratio() * 100, 2)
@@ -46,13 +54,23 @@ def compare_texts(reference_text, transcribed_text):
             elif difflib.get_close_matches(word, transcribed_words):
                 html_output += f'<span style="color: yellow;">{word}</span> '  # Close matches in yellow
             else:
-                html_output += f'<span style="color: red;">{word}</span> '  # Incorrect words in red
+                # Incorrect words in red
+                html_output += f'<span style="color: red;">{word}</span> '
+                # Create pronunciation audio for the incorrect word
+                audio_link = create_pronunciation_audio(word)
+                incorrect_words_audio_links.append(audio_link)
         except IndexError:
             html_output += f'<span style="color: red;">{word}</span> '  # Words in reference that were not transcribed
 
+    # Provide audio links for incorrect words
+    if incorrect_words_audio_links:
+        html_output += "<br><strong>Pronunciation for Incorrect Words:</strong><br>"
+        for audio in incorrect_words_audio_links:
+            html_output += f'<a href="{audio}" target="_blank">Listen</a><br>'
+
     return html_output
 
-# Step 3: Text-to-Speech Function
+# Step 4: Text-to-Speech Function
 def text_to_speech(paragraph):
     tts = gTTS(paragraph)
     tts.save("paragraph.mp3")