Update app.py

app.py

@@ -10,40 +10,6 @@ import time
 # Create audio directory if it doesn't exist
 if not os.path.exists('audio'):
     os.makedirs('audio')
-filePath=""
-def upfilepath():
-    # URL của tệp âm thanh (nguồn từ internet)
-    file_url = "https://st.ielts-fighter.com/src/ielts-fighter/2019/09/09/i%20ng%E1%BA%AFn.mp3"
-    
-    # URL để upload tệp âm thanh
-    upload_url = "https://mr2along-speech-recognize.hf.space/gradio_api/upload?upload_id=yw08d344te"
-    
-    # Tải tệp âm thanh từ link
-    response = requests.get(file_url)
-    
-    # Kiểm tra xem tải tệp thành công hay không
-    if response.status_code == 200:
-        # Lưu tệp vào bộ nhớ tạm thời
-        local_filename = "temp_audio_file.mp3"
-        with open(local_filename, 'wb') as f:
-            f.write(response.content)
-        
-    # Dữ liệu tệp cần upload
-    files = {'files': open(local_filename, 'rb')}
-    
-    # Gửi yêu cầu POST
-    response = requests.post(upload_url, files=files)
-    
-    # Kiểm tra kết quả trả về từ server
-    if response.status_code == 200:
-        print("Upload thành công!")
-        result=response.json()
-        extracted_path = os.path.dirname(result[0])
-        print(extracted_path)  # In kết quả nếu server trả về dưới dạng JSON
-        return extracted_path
-    else:
-        print(f"Lỗi: {response.status_code}")
-        print(response.text)  # In thông báo lỗi từ server
 
 # Step 1: Transcribe the audio file
 def transcribe_audio(audio):
@@ -130,7 +96,7 @@ def compare_texts(reference_text, transcribed_text):
             html_output += f'<audio controls><source src="{audio}" type="audio/mpeg">Your browser does not support the audio tag.</audio>{suggestion_text}<br>'
 
 
-    return html_output
+    return [html_output, incorrect_words_audios]
 
 # Step 4: Text-to-Speech Function
 def text_to_speech(paragraph):
@@ -145,9 +111,7 @@ 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
     comparison_result = compare_texts(paragraph, transcribed_text)
 
@@ -161,7 +125,7 @@ interface = gr.Interface(
         gr.Textbox(lines=5, label="Input Paragraph"),
         gr.Audio(type="filepath", label="Record Audio")
     ], 
-    outputs="html",
+    outputs=["html","audio"],
     title="Speech Recognition Comparison",
     description="Input a paragraph, record your audio, and compare the transcription to the original text."
 )