Update app.py

app.py

@@ -1,222 +1,5 @@
-import asyncio
-import datetime
-import logging
-import os
-import time
-import traceback
-
-import edge_tts
 import gradio as gr
-import librosa
-import torch
-from fairseq import checkpoint_utils
-from huggingface_hub import snapshot_download
-
-
-from config import Config
-from lib.infer_pack.models import (
-    SynthesizerTrnMs256NSFsid,
-    SynthesizerTrnMs256NSFsid_nono,
-    SynthesizerTrnMs768NSFsid,
-    SynthesizerTrnMs768NSFsid_nono,
-)
-from rmvpe import RMVPE
-from vc_infer_pipeline import VC
-
-logging.getLogger("fairseq").setLevel(logging.WARNING)
-logging.getLogger("numba").setLevel(logging.WARNING)
-logging.getLogger("markdown_it").setLevel(logging.WARNING)
-logging.getLogger("urllib3").setLevel(logging.WARNING)
-logging.getLogger("matplotlib").setLevel(logging.WARNING)
-
-limitation = os.getenv("SYSTEM") == "spaces"
-
-config = Config()
-
-# Edge TTS
-edge_output_filename = "edge_output.mp3"
-tts_voice_list = asyncio.get_event_loop().run_until_complete(edge_tts.list_voices())
-tts_voices = [f"{v['ShortName']}-{v['Gender']}" for v in tts_voice_list]
-
-# RVC models
-model_root = snapshot_download(repo_id="NoCrypt/miku_RVC", token=os.environ["TOKEN"])
-models = [d for d in os.listdir(model_root) if os.path.isdir(f"{model_root}/{d}")]
-models.sort()
-
-
-def model_data(model_name):
-    # global n_spk, tgt_sr, net_g, vc, cpt, version, index_file
-    pth_path = [
-        f"{model_root}/{model_name}/{f}"
-        for f in os.listdir(f"{model_root}/{model_name}")
-        if f.endswith(".pth")
-    ][0]
-    print(f"Loading {pth_path}")
-    cpt = torch.load(pth_path, map_location="cpu")
-    tgt_sr = cpt["config"][-1]
-    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
-    if_f0 = cpt.get("f0", 1)
-    version = cpt.get("version", "v1")
-    if version == "v1":
-        if if_f0 == 1:
-            net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=config.is_half)
-        else:
-            net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
-    elif version == "v2":
-        if if_f0 == 1:
-            net_g = SynthesizerTrnMs768NSFsid(*cpt["config"], is_half=config.is_half)
-        else:
-            net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
-    else:
-        raise ValueError("Unknown version")
-    del net_g.enc_q
-    net_g.load_state_dict(cpt["weight"], strict=False)
-    print("Model loaded")
-    net_g.eval().to(config.device)
-    if config.is_half:
-        net_g = net_g.half()
-    else:
-        net_g = net_g.float()
-    vc = VC(tgt_sr, config)
-    # n_spk = cpt["config"][-3]
-
-    index_files = [
-        f"{model_root}/{model_name}/{f}"
-        for f in os.listdir(f"{model_root}/{model_name}")
-        if f.endswith(".index")
-    ]
-    if len(index_files) == 0:
-        print("No index file found")
-        index_file = ""
-    else:
-        index_file = index_files[0]
-        print(f"Index file found: {index_file}")
-
-    return tgt_sr, net_g, vc, version, index_file, if_f0
-
-
-def load_hubert():
-    # global hubert_model
-    models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
-        ["hubert_base.pt"],
-        suffix="",
-    )
-    hubert_model = models[0]
-    hubert_model = hubert_model.to(config.device)
-    if config.is_half:
-        hubert_model = hubert_model.half()
-    else:
-        hubert_model = hubert_model.float()
-    return hubert_model.eval()
-
-
-def tts(
-    model_name,
-    speed,
-    tts_text,
-    tts_voice,
-    f0_up_key,
-    f0_method,
-    index_rate,
-    protect,
-    filter_radius=3,
-    resample_sr=0,
-    rms_mix_rate=0.25,
-):
-    print("------------------")
-    print(datetime.datetime.now())
-    print("tts_text:")
-    print(tts_text)
-    print(f"tts_voice: {tts_voice}, speed: {speed}")
-    print(f"Model name: {model_name}")
-    print(f"F0: {f0_method}, Key: {f0_up_key}, Index: {index_rate}, Protect: {protect}")
-    try:
-        if limitation and len(tts_text) > 1000:
-            print("Error: Text too long")
-            return (
-                f"Text characters should be at most 1000 in this huggingface space, but got {len(tts_text)} characters.",
-                None,
-                None,
-            )
-        t0 = time.time()
-        if speed >= 0:
-            speed_str = f"+{speed}%"
-        else:
-            speed_str = f"{speed}%"
-        asyncio.run(
-            edge_tts.Communicate(
-                tts_text, "-".join(tts_voice.split("-")[:-1]), rate=speed_str
-            ).save(edge_output_filename)
-        )
-        t1 = time.time()
-        edge_time = t1 - t0
-        audio, sr = librosa.load(edge_output_filename, sr=16000, mono=True)
-        duration = len(audio) / sr
-        print(f"Audio duration: {duration}s")
-        if limitation and duration >= 200:
-            print("Error: Audio too long")
-            return (
-                f"Audio should be less than 200 seconds in this huggingface space, but got {duration}s.",
-                edge_output_filename,
-                None,
-            )
-        f0_up_key = int(f0_up_key)
-
-        tgt_sr, net_g, vc, version, index_file, if_f0 = model_data(model_name)
-        if f0_method == "rmvpe":
-            vc.model_rmvpe = rmvpe_model
-        times = [0, 0, 0]
-        audio_opt = vc.pipeline(
-            hubert_model,
-            net_g,
-            0,
-            audio,
-            edge_output_filename,
-            times,
-            f0_up_key,
-            f0_method,
-            index_file,
-            # file_big_npy,
-            index_rate,
-            if_f0,
-            filter_radius,
-            tgt_sr,
-            resample_sr,
-            rms_mix_rate,
-            version,
-            protect,
-            None,
-        )
-        if tgt_sr != resample_sr >= 16000:
-            tgt_sr = resample_sr
-        info = f"Success. Time: edge-tts: {edge_time}s, npy: {times[0]}s, f0: {times[1]}s, infer: {times[2]}s"
-        print(info)
-        return (
-            info,
-            edge_output_filename,
-            (tgt_sr, audio_opt),
-        )
-    except EOFError:
-        info = (
-            "It seems that the edge-tts output is not valid. "
-            "This may occur when the input text and the speaker do not match. "
-            "For example, maybe you entered Japanese (without alphabets) text but chose non-Japanese speaker?"
-        )
-        print(info)
-        return info, None, None
-    except:
-        info = traceback.format_exc()
-        print(info)
-        return info, None, None
-
-
-print("Loading hubert model...")
-hubert_model = load_hubert()
-print("Hubert model loaded.")
-
-print("Loading rmvpe model...")
-rmvpe_model = RMVPE("rmvpe.pt", config.is_half, config.device)
-print("rmvpe model loaded.")
+import rvc *
 
 initial_md = """
 ![banner that says mikutts](https://huggingface.co/spaces/NoCrypt/mikuTTS/resolve/main/imgs/banner_mikutts.webp)