Update app.py

app.py

@@ -1,3 +1,14 @@
+from transformers import pipeline
 import gradio as gr
+import numpy as np
+import librosa
 
-gr.load("models/addy88/wav2vec2-gujarati-stt").launch()
+transcriber_gujarati = pipeline("automatic-speech-recognition", model="ai4bharat/indicwav2vec_v1_gujarati")
+
+def transcribe(audio):
+    sr,y = audio
+    y = y.astype(np.float32)
+    y/= np.max(np.abs(y))
+    return transcriber_gujarati(librosa.resample(y=y, orig_sr=sr, target_sr=16000))["text"]
+
+gr.Interface(transcribe,inputs="microphone",outputs="text").launch()