test

app.py

@@ -1,15 +1,14 @@
 import gradio as gr
 from transformers import pipeline
 import numpy as np
-import librosa
 
 transcriber = pipeline("automatic-speech-recognition", model="filipzawadka/whisper-small-pl-2")
 #transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-small.en")
 
 
 def transcribe(audio):
-    audio_data, sample_rate = librosa.load(audio, sr=None)
-    return transcriber(audio_data)["text"]
+    print(audio)
+    return transcriber(audio)["text"]
 
 
 demo = gr.Interface(