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app.py

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+import gradio as gr
+import time
+
+from transformers import pipeline
+
+p = pipeline("automatic-speech-recognition", 
+             model="abdouaziiz/wav2vec2-xls-r-300m-wolof-lm")
+             
+def transcribe(audio, state=""):
+    """Une fonction pour transformer un audio en Wolof en Text."""
+    time.sleep(3)
+    text = p(audio)["text"]
+    state += text + " "
+    return state, state
+    
+iface = gr.Interface(
+    fn=transcribe,
+    inputs = [
+        gr.inputs.Audio(source="microphone", type="filepath"),
+        "state"
+    ],
+    outputs = [
+        "textbox",
+        "state"
+    ],
+    live=True
+)
+
+iface.launch(inline = False)