Update app.py

app.py

@@ -3,10 +3,9 @@ import torch
 import gradio as gr
 import librosa
 import numpy as np
-import os
 
+p = pipeline("automatic-speech-recognition", model="wav2vec2-base-german")
 
-p = pipeline("automatic-speech-recognition", model="aware-ai/wav2vec2-base-german")
 model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',
                               model='silero_vad')
 
@@ -41,13 +40,9 @@ def transcribe(audio, state={"text": "", "temp_text": "", "audio": None}):
     return f'{state["text"]} ( {state["temp_text"]} )', state
 
 gr.Interface(
-    fn=transcribe, 
-    inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath"), 
-        "state"
-    ],
-    outputs=[
-        "textbox",
-        "state"
-    ],
-    live=True).launch() 
+    transcribe, 
+    [gr.Audio(source="microphone", type="filepath", streaming=True), "state"],
+    
+    [gr.Textbox(),"state"],
+    live=True
+    ).launch()