Update app.py

app.py

@@ -1,17 +1,21 @@
 import gradio as gr
 from transformers import pipeline
-import soundfile as sf
+import librosa
 
+# Initialize the model
 asr_model = pipeline("automatic-speech-recognition", model="openai/whisper-small")
 
 def transcribe(audio_file):
-    data, samplerate = sf.read(audio_file.name)
+    # Load the audio file with librosa
+    data, samplerate = librosa.load(audio_file.name, sr=None)
+    # Pass the audio data to the model for transcription
     transcription = asr_model(data, sampling_rate=samplerate)
     return transcription["text"]
 
+# Create the Gradio interface
 iface = gr.Interface(
     fn=transcribe,
-    inputs="audio",
+    inputs=gr.inputs.Audio(source="microphone", type="file"),
     outputs="text"
 )