Update app.py

app.py

@@ -1,4 +1,3 @@
-
 from transformers import pipeline
 import gradio as gr
 
@@ -8,10 +7,10 @@ pipe = pipeline(model="jsbeaudry/whisper-medium-oswald")
 print("Model loaded successfully.")
 
 # Transcription function
-def transcribe(audio_path):
-    if audio_path is None:
+def transcribe(audio):
+    if audio is None:
         return "Please upload or record an audio file first."
-    result = pipe(audio_path)
+    result = pipe(audio)
     return result["text"]
 
 # Build Gradio interface
@@ -24,16 +23,11 @@ def create_interface():
         )
 
         with gr.Row():
-            with gr.Column():
-                audio_input = gr.Audio(source="upload", type="filepath", label="🎧 Upload Audio")
-                audio_input2 = gr.Audio(source="microphone", type="filepath", label="🎤 Record Audio")
-            with gr.Column():
-                transcribe_button = gr.Button("🔍 Transcribe")
-                output_text = gr.Textbox(label="📝 Transcribed Text", lines=4)
-                
-    
+            audio_input = gr.Audio(label="🎧 Upload or Record Audio", format="wav")
+            transcribe_button = gr.Button("🔍 Transcribe")
+            output_text = gr.Textbox(label="📝 Transcribed Text", lines=4)
+
         transcribe_button.click(fn=transcribe, inputs=audio_input, outputs=output_text)
-        transcribe_button.click(fn=transcribe, inputs=audio_input2, outputs=output_text)
 
     return demo