Update app.py

app.py

@@ -42,7 +42,7 @@ def upfilepath():
     else:
         print(f"Lỗi: {response.status_code}")
         print(response.text)  # In thông báo lỗi từ server
-upfilepath()
+filePath=upfilepath()
 # Step 1: Transcribe the audio file
 def transcribe_audio(audio):
     if audio is None:
@@ -81,10 +81,11 @@ def transcribe_audio(audio):
 def create_pronunciation_audio(word):
     time.sleep(5)  # Chờ 5 giây
     tts = gTTS(word)
+    main_url="https://mr2along-speech-recognize.hf.space/gradio_api/file="
     audio_file_path = f"audio/{word}.mp3"  # Save the audio to a file
     tts.save(audio_file_path)
     print(f"audio/{word}: {(os.path.abspath(audio_file_path))}")
-    return audio_file_path  # Return the file path of the saved audio
+    return f"{main_url}{filePath}/{audio_file_path}"  # Return the file path of the saved audio
 
 # Step 3: Compare the transcribed text with the input paragraph
 def compare_texts(reference_text, transcribed_text):
@@ -142,7 +143,7 @@ def text_to_speech(paragraph):
 # Gradio Interface Function
 def gradio_function(paragraph, audio):
     # Transcribe the audio
-    filePath=upfilepath()
+    
     transcribed_text = transcribe_audio(audio)
 
     # Compare the original paragraph with the transcribed text