Update app.py

app.py

@@ -7,8 +7,6 @@ pipe = pipeline("automatic-speech-recognition", model=model_id)
 
 title = "Automatic Speech Recognition (ASR)"
 description = """
-Demo for automatic speech recognition in English. Demo uses [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) checkpoint, which is based on OpenAI's Whisper model.
-![Automatic Speech Recognition (ASR)](https://datasets-server.huggingface.co/assets/huggingface-course/audio-course-images/--/huggingface-course--audio-course-images/train/2/image/image.png "Diagram of Automatic Speech Recognition (ASR)")
 """
 
 def transcribe_speech(filepath):
@@ -26,14 +24,6 @@ def transcribe_speech(filepath):
 
 demo = gr.Blocks()
 
-mic_transcribe = gr.Interface(
-    fn=transcribe_speech,
-    inputs=gr.Audio(source="microphone", type="filepath"),
-    outputs=gr.outputs.Textbox(),
-    title=title,  # Fixed typo (tilte -> title)
-    description=description,
-)
-
 file_transcribe = gr.Interface(
     fn=transcribe_speech,
     inputs=gr.Audio(source="upload", type="filepath"),
@@ -45,8 +35,8 @@ file_transcribe = gr.Interface(
 
 with demo:
     gr.TabbedInterface(
-        [mic_transcribe, file_transcribe],
-        ["Transcribe Microphone", "Transcribe Audio File"],
+        [file_transcribe],
+        ["Transcribe Audio File"],
     ),
 
 demo.launch()