Update models/model.py

models/model.py

@@ -7,10 +7,8 @@ import torch
 import os
 import re
 import urllib.request
-from inference import Inference
 import gradio as gr
 from constants import VOICE_METHODS, BARK_VOICES, EDGE_VOICES, zips_folder, unzips_folder
-from tts.conversion import tts_infer, ELEVENLABS_VOICES_RAW, ELEVENLABS_VOICES_NAMES
 
 api_url = "https://rvc-models-api.onrender.com/uploadfile/"
 
@@ -117,35 +115,6 @@ def download_online_model(url):
       print("P.S. AI歌手模型之前已经下载")
 
     return zip_path + ".zip"
-
-    
-def infer(model, f0_method, audio_file, index_rate, vc_transform0, protect0, resample_sr1, filter_radius1):
-    
-    if not model:
-        return "No model url specified, please specify a model url.", None
-    
-    if not audio_file:
-        return "No audio file specified, please load an audio file.", None
-    
-    inference = Inference(
-        model_name=model,
-        f0_method=f0_method,
-        source_audio_path=audio_file,
-        feature_ratio=index_rate,
-        transposition=vc_transform0,
-        protection_amnt=protect0,
-        resample=resample_sr1,
-        harvest_median_filter=filter_radius1,
-        output_file_name=os.path.join("./audio-outputs", os.path.basename(audio_file))
-    )
-    
-    output = inference.run()
-    if 'success' in output and output['success']:
-        print("Inferencia realizada exitosamente...")
-        return output, output['file']
-    else:
-        print("Fallo en la inferencia...", output)
-        return output, None
     
 def post_model(name, model_url, version, creator):
     modelname = model_downloader(model_url, zips_folder, unzips_folder)