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import gradio as gr | |
import requests | |
import uuid | |
import os | |
from typing import Optional | |
import tempfile | |
from pydub import AudioSegment | |
import re | |
ASR_API = "http://astarwiz.com:9998/asr" | |
TTS_SPEAK_SERVICE = 'http://astarwiz.com:9603/speak' | |
TTS_WAVE_SERVICE = 'http://astarwiz.com:9603/wave' | |
LANGUAGE_MAP = { | |
"en": "English", | |
"ma": "Malay", | |
"ta": "Tamil", | |
"zh": "Chinese" | |
} | |
# Add a password for developer mode | |
DEVELOPER_PASSWORD = os.getenv("DEV_PWD") | |
# Add this constant for the RapidAPI key | |
RAPID_API_KEY = os.getenv("RAPID_API_KEY") | |
# Add this constant for available speakers | |
AVAILABLE_SPEAKERS = { | |
"en": ["MS"], | |
"ma": ["msFemale"], | |
"ta": ["ta_female1"], | |
"zh": ["childChinese2"] | |
} | |
def fetch_youtube_id(youtube_url: str) -> str: | |
if 'v=' in youtube_url: | |
return youtube_url.split("v=")[1].split("&")[0] | |
elif 'youtu.be/' in youtube_url: | |
return youtube_url.split("youtu.be/")[1] | |
elif 'shorts' in youtube_url: | |
return youtube_url.split("/")[-1] | |
else: | |
raise Exception("Unsupported URL format") | |
def download_youtube_audio(youtube_url: str, output_dir: Optional[str] = None) -> Optional[str]: | |
video_id = fetch_youtube_id(youtube_url) | |
if not video_id: | |
return None | |
if output_dir is None: | |
output_dir = tempfile.gettempdir() | |
output_filename = os.path.join(output_dir, f"{video_id}.mp3") | |
if os.path.exists(output_filename): | |
return output_filename # Return if the file already exists | |
url = "https://youtube86.p.rapidapi.com/api/youtube/links" | |
headers = { | |
'Content-Type': 'application/json', | |
'x-rapidapi-host': 'youtube86.p.rapidapi.com', | |
'x-rapidapi-key': RAPID_API_KEY | |
} | |
data = { | |
"url": youtube_url | |
} | |
response = requests.post(url, headers=headers, json=data) | |
print('Fetched audio links') | |
if response.status_code == 200: | |
result = response.json() | |
for url in result[0]['urls']: | |
if url.get('isBundle'): | |
audio_url = url['url'] | |
extension = url['extension'] | |
audio_response = requests.get(audio_url) | |
if audio_response.status_code == 200: | |
temp_filename = os.path.join(output_dir, f"{video_id}.{extension}") | |
with open(temp_filename, 'wb') as audio_file: | |
audio_file.write(audio_response.content) | |
# Convert to MP3 and downsample to 16000 Hz | |
audio = AudioSegment.from_file(temp_filename, format=extension) | |
audio = audio.set_frame_rate(16000) | |
audio.export(output_filename, format="mp3", parameters=["-ar", "16000"]) | |
os.remove(temp_filename) # Remove the temporary file | |
return output_filename # Return the final MP3 filename | |
return None # Return None if no successful download occurs | |
else: | |
print("Error:", response.status_code, response.text) | |
return None # Return None on failure | |
def inference_via_llm_api(input_text, min_new_tokens=2, max_new_tokens=64): | |
print(input_text) | |
one_vllm_input = f"<|im_start|>system\nYou are a translation expert.<|im_end|>\n<|im_start|>user\n{input_text}<|im_end|>\n<|im_start|>assistant" | |
vllm_api = 'http://astarwiz.com:2333/' + "v1/completions" | |
data = { | |
"prompt": one_vllm_input, | |
'model': "./Edu-4B-NewTok-V2-20240904/", | |
'min_tokens': min_new_tokens, | |
'max_tokens': max_new_tokens, | |
'temperature': 0.1, | |
'top_p': 0.75, | |
'repetition_penalty': 1.1, | |
"stop_token_ids": [151645, ], | |
} | |
response = requests.post(vllm_api, headers={"Content-Type": "application/json"}, json=data).json() | |
print(response) | |
if "choices" in response.keys(): | |
return response["choices"][0]['text'].strip() | |
else: | |
return "The system got some error during vLLM generation. Please try it again." | |
def transcribe_and_speak(audio, source_lang, target_lang, youtube_url=None, target_speaker=None): | |
if youtube_url: | |
audio = download_youtube_audio(youtube_url) | |
if not audio: | |
return "Failed to download YouTube audio.", None, None | |
if not audio: | |
return "Please provide an audio input or a valid YouTube URL.", None, None | |
# ASR | |
file_id = str(uuid.uuid4()) | |
files = {'file': open(audio, 'rb')} | |
data = { | |
'language': 'ms' if source_lang == 'ma' else source_lang, | |
'model_name': 'whisper-large-v2-local-cs', | |
'with_timestamp': False | |
} | |
asr_response = requests.post(ASR_API, files=files, data=data) | |
print(asr_response.json()) | |
if asr_response.status_code == 200: | |
transcription = asr_response.json()['text'] | |
else: | |
return "ASR failed", None, None | |
translation_prompt = f"Translate the following text from {LANGUAGE_MAP[source_lang]} to {LANGUAGE_MAP[target_lang]}: {transcription}" | |
translated_text = inference_via_llm_api(translation_prompt) | |
print(f"Translation: {translated_text}") | |
# TTS | |
tts_params = { | |
'language': target_lang, | |
'speed': 1.1, | |
'speaker': target_speaker or AVAILABLE_SPEAKERS[target_lang][0], # Use the first speaker as default | |
'text': translated_text | |
} | |
tts_response = requests.get(TTS_SPEAK_SERVICE, params=tts_params) | |
if tts_response.status_code == 200: | |
audio_file = tts_response.text.strip() | |
audio_url = f"{TTS_WAVE_SERVICE}?file={audio_file}" | |
return transcription, translated_text, audio_url | |
else: | |
return transcription, translated_text, "TTS failed" | |
def check_password(password): | |
return password == DEVELOPER_PASSWORD | |
def run_speech_translation(audio, source_lang, target_lang, youtube_url, target_speaker): | |
transcription, translated_text, audio_url = transcribe_and_speak(audio, source_lang, target_lang, youtube_url, target_speaker) | |
return transcription, translated_text, audio_url | |
with gr.Blocks() as demo: | |
gr.Markdown("# Speech Translation") | |
# with gr.Tab("User Mode"): | |
gr.Markdown("Speak into the microphone, upload an audio file, or provide a YouTube URL. The app will translate and speak it back to you.") | |
with gr.Row(): | |
user_audio_input = gr.Audio(sources=["microphone", "upload"], type="filepath") | |
user_youtube_url = gr.Textbox(label="YouTube URL (optional)") | |
with gr.Row(): | |
user_source_lang = gr.Dropdown(choices=["en", "ma", "ta", "zh"], label="Source Language", value="en") | |
user_target_lang = gr.Dropdown(choices=["en", "ma", "ta", "zh"], label="Target Language", value="zh") | |
user_target_speaker = gr.Dropdown(choices=AVAILABLE_SPEAKERS['zh'], label="Target Speaker", value="childChinese2") | |
with gr.Row(): | |
user_button = gr.Button("Translate and Speak", interactive=False) | |
with gr.Row(): | |
user_transcription_output = gr.Textbox(label="Transcription") | |
user_translation_output = gr.Textbox(label="Translation") | |
user_audio_output = gr.Audio(label="Translated Speech") | |
user_video_output = gr.HTML(label="YouTube Video") | |
def update_button_state(audio, youtube_url): | |
print(audio, youtube_url) | |
return gr.Button(interactive=bool(audio) or bool(youtube_url)) | |
user_audio_input.change( | |
fn=update_button_state, | |
inputs=[user_audio_input, user_youtube_url], | |
outputs=user_button | |
) | |
user_youtube_url.change( | |
fn=update_button_state, | |
inputs=[user_audio_input, user_youtube_url], | |
outputs=user_button | |
) | |
user_button.click( | |
fn=run_speech_translation, | |
inputs=[user_audio_input, user_source_lang, user_target_lang, user_youtube_url, user_target_speaker], | |
outputs=[user_transcription_output, user_translation_output, user_audio_output] | |
) | |
def update_video_embed(youtube_url): | |
if youtube_url: | |
try: | |
video_id = fetch_youtube_id(youtube_url) | |
return f'<iframe width="560" height="315" src="https://www.youtube.com/embed/{video_id}" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>' | |
except Exception as e: | |
print(f"Error embedding video: {e}") | |
return "" | |
user_youtube_url.change( | |
fn=update_video_embed, | |
inputs=[user_youtube_url], | |
outputs=[user_video_output] | |
) | |
def update_target_speakers(target_lang): | |
return gr.Dropdown(choices=AVAILABLE_SPEAKERS[target_lang], value=AVAILABLE_SPEAKERS[target_lang][0]) | |
user_target_lang.change( | |
fn=update_target_speakers, | |
inputs=[user_target_lang], | |
outputs=[user_target_speaker] | |
) | |
demo.launch(auth=(os.getenv("DEV_USER"), os.getenv("DEV_PWD"))) |