Create app.py

app.py

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+import os
+import numpy as np
+import gradio as gr
+import assemblyai as aai
+from translate import Translator
+import uuid
+from elevenlabs import VoiceSettings
+from elevenlabs.client import ElevenLabs
+from pathlib import Path
+
+
+ELEVENLABS_API = os.environ.get("ELEVENLABS_API")
+
+ASSEMBLYAI_API = os.environ.get("ASSEMBLYAI_API")
+
+def voice_to_voice(audio_file):
+    transcript = transcribe_audio(audio_file)
+    if transcript.status == aai.TranscriptStatus.error:
+        raise gr.Error(transcript.error)
+    else:
+        transcript = transcript.text
+
+    list_translations = translate_text(transcript)
+    generated_audio_paths = []
+
+    for translation in list_translations:
+        translated_audio_file_name = text_to_speech(translation)
+        path = Path(translated_audio_file_name)
+        generated_audio_paths.append(path)
+
+    return tuple(generated_audio_paths + list_translations)
+
+def transcribe_audio(audio_file):
+    aai.settings.api_key = ELEVENLABS_API
+    transcriber = aai.Transcriber()
+    transcript = transcriber.transcribe(audio_file)
+    return transcript
+
+def translate_text(text):
+    languages = ["ru", "tr", "sv", "de", "es", "ja", "id"]
+    list_translations = []
+
+    for lan in languages:
+        translator = Translator(from_lang="en", to_lang=lan)
+        translation = translator.translate(text)
+        list_translations.append(translation)
+
+    return list_translations
+
+def text_to_speech(text):
+    client = ElevenLabs(api_key=ELEVENLABS_API)
+    response = client.text_to_speech.convert(
+        voice_id="<your-voice-id>",
+        optimize_streaming_latency="0",
+        output_format="mp3_22050_32",
+        text=text,
+        model_id="eleven_multilingual_v2",
+        voice_settings=VoiceSettings(
+            stability=0.5,
+            similarity_boost=0.8,
+            style=0.5,
+            use_speaker_boost=True,
+        ),
+    )
+
+    save_file_path = f"{uuid.uuid4()}.mp3"
+    with open(save_file_path, "wb") as f:
+        for chunk in response:
+            if chunk:
+                f.write(chunk)
+
+    return save_file_path
+
+with gr.Blocks() as demo:
+    gr.Markdown("## audio Translator")
+    gr.Markdown(
+        f"""
+        The API Key you need:
+        (AssemblyAI API key)[https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_mis_66]<br>
+        (Elevenlabs API key)[https://elevenlabs.io/]<br>
+        Note: you need at least 30 minutes of a voice recording of yourself for the *Professional voice cloning. But there is also a simpler voice cloning option that only requires 30 seconds of voice recording. *Professional voice cloning is a paid feature.
+        
+        """
+    )
+    audio_input = gr.Audio(type="filepath", show_download_button=True)
+    submit = gr.Button("Submit", variant="primary")
+    clear_button = gr.ClearButton(audio_input, "Clear")
+
+    output_components = []
+    languages = ["Turkish", "Swedish", "Russian", "German", "Spanish", "Japanese", "indonesian"]
+    
+    for lang in languages:
+        with gr.Group():
+            output_components.append(gr.Audio(label=lang, interactive=False))
+            output_components.append(gr.Markdown())
+
+    submit.click(fn=voice_to_voice, inputs=audio_input, outputs=output_components, show_progress=True)
+
+if __name__ == "__main__":
+    demo.launch()