Update app.py

app.py

@@ -5,14 +5,7 @@ import os
 model_id = "HarshitJoshi/whisper-small-Hindi"
 pipe = pipeline("automatic-speech-recognition", model=model_id)
 
-def transcribe_speech(source, source_type):
-    if source_type == "Microphone":
-        filepath = source
-    elif source_type == "Upload":
-        filepath = source.name
-    elif source_type == "Example":
-        filepath = os.path.join(example_folder, source)
-    
+def transcribe_speech(filepath):
     output = pipe(
         filepath,
         max_new_tokens=256,
@@ -30,21 +23,22 @@ example_files = [f for f in os.listdir(example_folder) if f.endswith('.wav') or
 
 def handle_input(mic, upload, example):
     if mic is not None:
-        return transcribe_speech(mic, "Microphone")
+        return transcribe_speech(mic)
     elif upload is not None:
-        return transcribe_speech(upload, "Upload")
+        return transcribe_speech(upload.name)
     elif example is not None:
-        return transcribe_speech(example, "Example")
+        return transcribe_speech(os.path.join(example_folder, example))
     else:
         return "Please provide an input."
 
 with gr.Blocks() as demo:
-    mic = gr.Audio(source="microphone", type="filepath", label="Record from Microphone")
-    upload = gr.Audio(source="upload", type="file", label="Upload an Audio File")
-    example = gr.Dropdown(choices=example_files, label="Or Select an Example")
+    with gr.Row():
+        mic = gr.Audio(type="filepath", label="Record from Microphone")
+        upload = gr.Audio(type="file", label="Upload an Audio File")
+        example = gr.Dropdown(choices=example_files, label="Or Select an Example")
 
     output = gr.Textbox(label="Transcription")
-
+    
     submit_btn = gr.Button("Transcribe")
     submit_btn.click(handle_input, inputs=[mic, upload, example], outputs=output)