Update app.py

app.py

@@ -1,27 +1,35 @@
+# Importing gradio for demo application and Transformers to use pipeline
 import gradio as gr
 from transformers import pipeline
 
-asr = pipeline("automatic-speech-recognition",
+# Using the "whisper-large-v3" fine-tuned model for Automatic Speech Recognition ASR tasks
+asr = pipeline(task = "automatic-speech-recognition",
                model = "openai/whisper-large-v3")
 
+
+# Set up a Gradio application with the Blocks class, which can be used to define and configure input and output blocks for the application's interface
+import gradio as gr
 demo = gr.Blocks()
 
-def transcribe_speech(filepath):
-  if filepath is None:
+#  Perform speech transcription using the automatic speech recognition (asr) pipeline
+def transcribe_speech(filepath): #path to the audio file
+  if filepath is None: #if so, it displays a warning and return empty string  
     gr.Warning("No audio file found, please retry!")
     return ""
-  output = asr(filepath)
-  return output["text"]
+  output = asr(filepath) #invokes the asr pipeline on the audio file specified by filepath and  
+  return output["text"] #returns the transcribed text from the output dictionary
 
+# Initialize a Gradio interface for Microphone Transcribe
 mic_transcribe = gr.Interface(
-    fn = transcribe_speech,
+    fn = transcribe_speech, #specifies the function to be executed when the interface receives input
     inputs = gr.Audio(sources = "microphone",
                    type = "filepath"),
     outputs = gr.Textbox(label = "Transcription",
                          lines = 3),
-    allow_flagging = "never"
+    allow_flagging = "never" #specifies whether users are allowed to flag results or not
 )
 
+# Gradio interface for transcribing speech from an uploaded audio file.
 file_transcribe = gr.Interface (
     fn = transcribe_speech,
     inputs = gr.Audio(sources = "upload",
@@ -31,6 +39,8 @@ file_transcribe = gr.Interface (
     allow_flagging = "never"
 )
 
+# Create a tabbed interface using Gradio, that allows users to switch between two different interfaces:
+# (mic_transcribe and file_transcribe) for transcribing speech
 with demo:
   gr.TabbedInterface(
       [mic_transcribe,
@@ -38,4 +48,4 @@ with demo:
       ["Transcribe Microphone",
        "Transcribe Audio File"],
   )
-demo.launch()
+demo.launch(debug = True )