Update app.py

app.py

@@ -12,7 +12,6 @@ import torch
 import gradio as gr
 
 from config import model_config
-from gradio_client import Client, handle_file
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"
 model_dir = snapshot_download(model_config['model_dir'])
@@ -83,24 +82,4 @@ gr.Interface(
     inputs=inputs, 
     outputs=outputs, 
     title="ASR Transcription with FunASR"
-).launch()
-
-
-client = Client("TaiYouWeb/funasr-svsmall-cpu")
-result = client.predict(
-		file_path=handle_file('https://github.com/gradio-app/gradio/raw/main/test/test_files/audio_sample.wav'),
-		vad_model="fsmn-vad",
-		vad_kwargs="{'max_single_segment_time': 30000}",
-		ncpu=4,
-		batch_size=1,
-		language="auto",
-		use_itn=True,
-		batch_size_s=60,
-		merge_vad=True,
-		merge_length_s=15,
-		batch_size_threshold_s=50,
-		hotword=" ",
-		spk_model="cam++",
-		ban_emo_unk=False,
-		api_name="/asr"
-)
+).launch()