Update app.py

app.py

@@ -5,20 +5,26 @@ from transformers import pipeline
 p = pipeline("automatic-speech-recognition", 
              model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h")
 
-def transcribe(audio, state="", uploaded_audio=""):
-    if uploaded_audio:
+def transcribe(audio, state="", uploaded_audio=None):
+    if uploaded_audio is not None:
         audio = uploaded_audio
-    time.sleep(3)
-    text = p(audio)["text"]
-    state += text + " - "
-    return state, state
+    if not audio:
+        return "Please input audio.", state  # Return a meaningful message
+    try:
+        time.sleep(3)
+        text = p(audio)["text"]
+        state += text + " "
+        return state, state
+    except Exception as e:
+        return "An error occurred during transcription.", state  # Handle other exceptions
+
 
 gr.Interface(
     fn=transcribe, 
     inputs=[
         gr.inputs.Audio(source="microphone", type="filepath"),
         'state',
-        gr.inputs.Audio(label="Upload Audio File", type="numpy", source="upload")
+        gr.inputs.Audio(label="Upload Audio File", type="filepath", source="upload")
     ],
     outputs=[
         "textbox",