Update app.py

app.py

@@ -1,16 +1,13 @@
 import requests
 import gradio as gr
+from transformers import pipeline
 
-API_URL = "https://api-inference.huggingface.co/models/BenDaouda/wav2vec2-large-xls-r-300m-wolof-test-coloab"
-headers = {"Authorization": "Bearer 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"}
+p = pipeline("wav2vec2-large-xls-r-300m-wolof-test-coloab")
 
-def query(filename):
-    with open(filename, "rb") as f:
-        data = f.read()
-    response = requests.post(API_URL, headers=headers, data=data)
-    return response.json()
-
-
-iface = gr.Interface(fn=query,inputs=gr.Audio(source="microphone", type="filepath"),outputs="text")
+def transcribe(audio):
+    text = p(audio)["text"]
+    return text
+    
+iface = gr.Interface(fn=transcribe,inputs=gr.Audio(source="microphone", type="filepath"),outputs="text")
 
 iface.launch()