Delete streamlitpoe.py

streamlitpoe.py

@@ -1,100 +0,0 @@
-import streamlit as st
-import pandas as pd
-import numpy as np
-import matplotlib.pyplot as plt
-import json
-import tempfile
-import shutil
-temp_dir = tempfile.mkdtemp()
-global ckpt_temp_file
-global audio_temp_file
-global config_temp_file
-###################################################
-from utils.hparams import hparams
-from preprocessing.data_gen_utils import get_pitch_parselmouth,get_pitch_crepe
-import numpy as np
-import matplotlib.pyplot as plt
-import IPython.display as ipd
-import utils
-import librosa
-import torchcrepe
-from infer import *
-import logging
-from infer_tools.infer_tool import *
-import io
-clip_completed = False
-def render_audio(ckpt_temp_file, config_temp_file, audio_temp_file, title):
-    logging.getLogger('numba').setLevel(logging.WARNING)
-    title = int(title)
-    project_name = "Unnamed"
-    model_path = ckpt_temp_file
-    config_path= config_temp_file
-    hubert_gpu=True
-    svc_model = Svc(project_name,config_path,hubert_gpu, model_path)
-    print('model loaded')
-    wav_fn = audio_temp_file
-    demoaudio, sr = librosa.load(wav_fn)
-    key = title # 音高调整，支持正负（半音）
-    # 加速倍数
-
-    pndm_speedup = 20
-    wav_gen='queeeeee.wav'#直接改后缀可以保存不同格式音频，如flac可无损压缩
-    f0_tst, f0_pred, audio = run_clip(svc_model,file_path=wav_fn, key=key, acc=pndm_speedup, use_crepe=True, use_pe=True, thre=0.05,
-                                        use_gt_mel=False, add_noise_step=500,project_name=project_name,out_path=wav_gen)
-    clip_completed = True
-    if clip_completed:
-    # If the 'run_clip' function has completed, use the st.audio function to show an audio player for the file stored in the 'wav_gen' variable
-        st.audio(wav_gen)
-#######################################################
-st.set_page_config(
-    page_title="DiffSVC Render",
-    page_icon="🧊",
-    initial_sidebar_state="expanded",
-)
-############
-st.title('DIFF-SVC Render')
-
-###CKPT LOADER
-ckpt = st.file_uploader("Choose your CKPT", type= 'ckpt')
-# Check if user uploaded a CKPT file
-if ckpt is not None:
-  #TEMP FUNCTION
-  with tempfile.NamedTemporaryFile(mode="wb", suffix='.ckpt', delete=False) as temp:
-    # Get the file contents as bytes
-    bytes_data = ckpt.getvalue()
-    # Write the bytes to the temporary file
-    temp.write(bytes_data)
-    ckpt_temp_file = temp.name
-    # Print the temporary file name
-    print(temp.name)
-
-###CONFIG LOADER
-config = st.file_uploader("Choose your config", type= 'yaml')
-if config is not None:
-  #TEMP FUNCTION
-  with tempfile.NamedTemporaryFile(mode="wb", suffix='.yaml', delete=False) as temp:
-    # Get the file contents as bytes
-    bytes_data = config.getvalue()
-    # Write the bytes to the temporary file
-    temp.write(bytes_data)
-    config_temp_file = temp.name
-    # Print the temporary file name
-    print(temp.name)
-
-##WAV LOADER
-audio = st.file_uploader("Choose your audio", type= 'wav' or 'mp3')
-if audio is not None:
-  #TEMP FUNCTION
-  with tempfile.NamedTemporaryFile(mode="wb", suffix='.wav', delete=False) as temp:
-    # Get the file contents as bytes
-    bytes_data = audio.getvalue()
-    # Write the bytes to the temporary file
-    temp.write(bytes_data)
-    audio_temp_file = temp.name
-    # Print the temporary file name
-    print(temp.name)
-title = st.text_input('Key', '0')
-gflag = st.slider('Gender Flag', 0.80, 1.20, 1.00)    
-
-###DOWNLOAD
-st.button('Render', on_click=render_audio(ckpt_temp_file, config_temp_file, audio_temp_file, title))