Spaces:
Runtime error
Runtime error
File size: 3,904 Bytes
16d35dc cda6806 a06df0b fe3fcc1 3caa7d1 cda6806 16d35dc 0e00791 cda6806 16d35dc cda6806 16d35dc ff44154 cda6806 a06df0b cda6806 a06df0b 16d35dc cda6806 8752186 16d35dc ded54c4 16d35dc ff44154 a06df0b ff44154 cda6806 16d35dc cda6806 b270fe6 cda6806 16d35dc ff44154 16d35dc cda6806 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 |
import tempfile
import gradio as gr
from neon_tts_plugin_coqui import CoquiTTS
LANGUAGES = list(CoquiTTS.langs.keys())
default_lang = "en"
# ChatGPT
from pyChatGPT import ChatGPT
#import whisper
#whisper_model = whisper.load_model("small")
whisper = gr.Blocks.load(name="spaces/sanchit-gandhi/whisper-large-v2")
import os
session_token = os.environ.get('SessionToken')
title = "Speech to ChatGPT to Speech"
#info = "more info at [Neon Coqui TTS Plugin](https://github.com/NeonGeckoCom/neon-tts-plugin-coqui), [Coqui TTS](https://github.com/coqui-ai/TTS)"
#badge = "https://visitor-badge-reloaded.herokuapp.com/badge?page_id=neongeckocom.neon-tts-plugin-coqui"
coquiTTS = CoquiTTS()
# ChatGPT
def chat_hf(audio, custom_token, language):
try:
whisper_text = translate(audio)
api = ChatGPT(session_token)
resp = api.send_message(whisper_text)
api.refresh_auth() # refresh the authorization token
api.reset_conversation() # reset the conversation
gpt_response = resp['message']
except:
whisper_text = translate(audio)
api = ChatGPT(custom_token)
resp = api.send_message(whisper_text)
api.refresh_auth() # refresh the authorization token
api.reset_conversation() # reset the conversation
gpt_response = resp['message']
# to voice
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
coquiTTS.get_tts(gpt_response, fp, speaker = {"language" : language})
return whisper_text, gpt_response, fp.name
# whisper
#def translate(audio):
# print("""
# —
# Sending audio to Whisper ...
# —
# """)
#
# audio = whisper.load_audio(audio)
# audio = whisper.pad_or_trim(audio)
#
# mel = whisper.log_mel_spectrogram(audio).to(whisper_model.device)
#
# _, probs = whisper_model.detect_language(mel)
#
# transcript_options = whisper.DecodingOptions(task="transcribe", fp16 = False)
#
# transcription = whisper.decode(whisper_model, mel, transcript_options)
#
# print("language spoken: " + transcription.language)
# print("transcript: " + transcription.text)
# print("———————————————————————————————————————————")
#
# return transcription.text
def translate(audio):
print("""
—
Sending audio to Whisper ...
—
""")
text_result = whisper(audio, None, "transcribe", fn_index=0)
print(text_result)
return text_result
with gr.Blocks() as blocks:
gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>"
+ title
+ "</h1>")
#gr.Markdown(description)
with gr.Row(equal_height=True):# equal_height=False
with gr.Column():# variant="panel"
radio = gr.Radio(
label="Language",
choices=LANGUAGES,
value=default_lang
)
audio_file = gr.inputs.Audio(source="microphone", type="filepath")
custom_token = gr.Textbox(label='If it fails, use your own session token', placeholder="your own session token")
with gr.Row():# mobile_collapse=False
submit = gr.Button("Submit", variant="primary")
with gr.Column():
text1 = gr.Textbox(label="Speech to Text")
text2 = gr.Textbox(label="ChatGPT response")
audio = gr.Audio(label="Output", interactive=False)
#gr.Markdown(info)
#gr.Markdown("<center>"
# +f'<img src={badge} alt="visitors badge"/>'
# +"</center>")
# actions
submit.click(
chat_hf,
[audio_file, custom_token, radio],
[text1, text2, audio],
)
radio.change(lambda lang: CoquiTTS.langs[lang]["sentence"], radio, text2)
blocks.launch(debug=True)
|