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import RVC |
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from scipy.io import wavfile |
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import numpy as np |
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import os |
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import uuid |
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import io |
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import requests |
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class VoiceConverter: |
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def __init__(self): |
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self.models = RVC.names |
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def single_run(self, input_audio, model_name, vc_transform, song, opt_input="opt", f0_method="crepe", |
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filter_radius=3, file_index1="", file_index2="", index_rate1=0.75, |
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resample_sr=0, rms_mix_rate=0.25, protect=0.33, f0_file=None): |
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RVC.get_vc(model_name, protect, protect) |
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spk_item = 0 |
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vc_output1, vc_output2 = RVC.vc_single( |
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spk_item, |
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input_audio, |
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vc_transform, |
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f0_file, |
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f0_method, |
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file_index1, |
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file_index2, |
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index_rate1, |
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filter_radius, |
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resample_sr, |
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rms_mix_rate, |
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protect, |
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song |
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) |
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random_string = str(uuid.uuid4()) |
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filename = os.path.basename(input_audio) |
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name, extension = os.path.splitext(filename) |
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new_file_name = f"{name}_{random_string}{extension}" |
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sample_rate, audio_data = vc_output2 |
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url = self.upload_audio(audio_data, sample_rate, new_file_name) |
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return url |
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def upload_audio(self, audio_data, sample_rate, filename): |
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try: |
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url = "https://tmpfiles.org/api/v1/upload" |
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wav_bytes = io.BytesIO() |
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scaled_audio_data = np.int16(audio_data) |
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wavfile.write(wav_bytes, sample_rate, scaled_audio_data) |
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wav_bytes.seek(0) |
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files = {'file': (filename, wav_bytes)} |
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response = requests.post(url, files=files) |
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response.raise_for_status() |
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return response.json() |
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except Exception as e: |
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raise RuntimeError(f"Failed to upload audio: {e}") |
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def uvr(self, dir_wav_input, wav_inputs=None, model_choose=RVC.uvr5_names[0], |
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opt_vocal_root="opt", opt_ins_root="opt", format0="wav"): |
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agg = 10 |
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vc_output4 = RVC.uvr( |
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model_choose, |
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dir_wav_input, |
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opt_vocal_root, |
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wav_inputs, |
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opt_ins_root, |
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agg, |
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format0 |
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) |
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for value in vc_output4: |
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print(value) |
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