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kevinwang676
commited on
Commit
•
9577a1b
1
Parent(s):
76e808f
Update app_share.py
Browse files- app_share.py +8 -9
app_share.py
CHANGED
@@ -68,8 +68,10 @@ def pad_buffer(audio):
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return audio
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-
def generate_voice(text, voice):
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-
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audio = client.generate(text=text, voice=voice) #response.voices[0]
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audio = b"".join(audio)
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with open("output.mp3", "wb") as f:
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@@ -101,7 +103,7 @@ html_denoise = """
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</html>
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"""
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def convert(text, tgt, voice, save_path):
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model = "FreeVC (24kHz)"
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with torch.no_grad():
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# tgt
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@@ -123,7 +125,7 @@ def convert(text, tgt, voice, save_path):
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hps.data.mel_fmax
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)
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# src
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src = generate_voice(text, voice)
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wav_src, _ = librosa.load(src, sr=hps.data.sampling_rate)
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wav_src = torch.from_numpy(wav_src).unsqueeze(0).to(device)
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c = cmodel(wav_src).last_hidden_state.transpose(1, 2).to(device)
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@@ -304,9 +306,6 @@ import shutil
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def convert_from_srt(api_key, filename, audio_full, voice, multilingual):
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client = ElevenLabs(
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api_key=api_key, # Defaults to ELEVEN_API_KEY
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)
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subtitle_list = read_srt(filename)
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#audio_data, sr = librosa.load(audio_full, sr=44100)
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@@ -322,7 +321,7 @@ def convert_from_srt(api_key, filename, audio_full, voice, multilingual):
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trim_audio([[i.start_time, i.end_time]], audio_full, f"sliced_audio_{i.index}")
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print(f"正在合成第{i.index}条语音")
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print(f"语音内容:{i.text}")
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convert(i.text, f"sliced_audio_{i.index}_0.wav", voice, i.text + " " + str(i.index))
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except Exception:
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pass
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else:
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@@ -332,7 +331,7 @@ def convert_from_srt(api_key, filename, audio_full, voice, multilingual):
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trim_audio([[i.start_time, i.end_time]], audio_full, f"sliced_audio_{i.index}")
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print(f"正在合成第{i.index}条语音")
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print(f"语音内容:{i.text.splitlines()[1]}")
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convert(i.text.splitlines()[1], f"sliced_audio_{i.index}_0.wav", voice, i.text.splitlines()[1] + " " + str(i.index))
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except Exception:
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pass
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merge_audios("output")
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return audio
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def generate_voice(api_key, text, voice):
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client = ElevenLabs(
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api_key=api_key, # Defaults to ELEVEN_API_KEY
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)
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audio = client.generate(text=text, voice=voice) #response.voices[0]
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audio = b"".join(audio)
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with open("output.mp3", "wb") as f:
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</html>
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"""
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+
def convert(api_key, text, tgt, voice, save_path):
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model = "FreeVC (24kHz)"
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with torch.no_grad():
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# tgt
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hps.data.mel_fmax
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)
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# src
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src = generate_voice(api_key, text, voice)
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wav_src, _ = librosa.load(src, sr=hps.data.sampling_rate)
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wav_src = torch.from_numpy(wav_src).unsqueeze(0).to(device)
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c = cmodel(wav_src).last_hidden_state.transpose(1, 2).to(device)
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def convert_from_srt(api_key, filename, audio_full, voice, multilingual):
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subtitle_list = read_srt(filename)
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#audio_data, sr = librosa.load(audio_full, sr=44100)
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trim_audio([[i.start_time, i.end_time]], audio_full, f"sliced_audio_{i.index}")
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print(f"正在合成第{i.index}条语音")
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print(f"语音内容:{i.text}")
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convert(api_key, i.text, f"sliced_audio_{i.index}_0.wav", voice, i.text + " " + str(i.index))
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except Exception:
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pass
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else:
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trim_audio([[i.start_time, i.end_time]], audio_full, f"sliced_audio_{i.index}")
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print(f"正在合成第{i.index}条语音")
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print(f"语音内容:{i.text.splitlines()[1]}")
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convert(api_key, i.text.splitlines()[1], f"sliced_audio_{i.index}_0.wav", voice, i.text.splitlines()[1] + " " + str(i.index))
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except Exception:
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pass
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merge_audios("output")
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