Update app.py

app.py

@@ -1,13 +1,15 @@
-import requests
 import gradio as gr
-from transformers import pipeline
 
-p = pipeline("BenDaouda/wav2vec2-large-xls-r-300m-wolof-test-coloab")
+title = "wolof_ASR"
+description = "Wolof ASR"
 
-def transcribe(audio):
-    text = p(audio)["text"]
-    return text
-    
-iface = gr.Interface(fn=transcribe,inputs=gr.Audio(source="microphone", type="filepath"),outputs="text")
+iface = gr.Interface.load(
+    "BenDaouda/wav2vec2-large-xls-r-300m-wolof-test-coloab",
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs="text",
+    title=title,
+    description=description,
+    enable_queue=True
+)
 
-iface.launch()
+iface.launch()