Update app.py

app.py

@@ -3,23 +3,26 @@ import time
 from transformers import pipeline
 
 p = pipeline("automatic-speech-recognition", 
-             model = 'carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h')
+             model="carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h")
 
-def transcribe(audio, state=""):
+def transcribe(audio, state="", uploaded_audio=""):
+    if uploaded_audio:
+        audio = uploaded_audio
     time.sleep(3)
     text = p(audio)["text"]
     state += text + " "
     return state, state
 
-    
 gr.Interface(
     fn=transcribe, 
     inputs=[
         gr.inputs.Audio(source="microphone", type="filepath"),
-        'state'
+        'state',
+        gr.inputs.Audio(label="Upload Audio File", type="file", source="upload")
     ],
     outputs=[
         "textbox",
         "state"
     ],
     live=True).launch()
+