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| import gradio as gr | |
| import requests | |
| import json | |
| import os | |
| # Load the API key from environment variables | |
| XI_API_KEY = os.getenv("XI_API_KEY") | |
| # Define the function to perform the Speech-to-Speech transformation | |
| def sts_conversion(voice_id, audio_file): | |
| CHUNK_SIZE = 1024 | |
| OUTPUT_PATH = "output.mp3" | |
| # Construct the URL for the Speech-to-Speech API request | |
| sts_url = f"https://api.elevenlabs.io/v1/speech-to-speech/{voice_id}/stream" | |
| # Set up headers for the API request, including the API key for authentication | |
| headers = { | |
| "Accept": "application/json", | |
| "xi-api-key": XI_API_KEY | |
| } | |
| # Set up the data payload for the API request, including model ID and voice settings | |
| data = { | |
| "model_id": "eleven_english_sts_v2", | |
| "voice_settings": json.dumps({ | |
| "stability": 0.5, | |
| "similarity_boost": 0.8, | |
| "style": 0.0, | |
| "use_speaker_boost": True | |
| }) | |
| } | |
| # Set up the files to send with the request, including the input audio file | |
| files = { | |
| "audio": audio_file | |
| } | |
| # Make the POST request to the STS API with headers, data, and files, enabling streaming response | |
| response = requests.post(sts_url, headers=headers, data=data, files=files, stream=True) | |
| # Check if the request was successful | |
| if response.ok: | |
| # Open the output file in write-binary mode | |
| with open(OUTPUT_PATH, "wb") as f: | |
| # Read the response in chunks and write to the file | |
| for chunk in response.iter_content(chunk_size=CHUNK_SIZE): | |
| f.write(chunk) | |
| # Return the output audio file for download | |
| return OUTPUT_PATH | |
| else: | |
| # Return the error message if the request was not successful | |
| return response.text | |
| # Create the Gradio Blocks UI | |
| with gr.Blocks(theme="Hev832/Applio") as demo: | |
| gr.Markdown("# <center> ElevenLabs Speech-to-Speech Conversion </center>") | |
| gr.Markdown("Upload an audio file and enter the Voice ID to convert it using the Eleven Labs Speech-to-Speech API.") | |
| with gr.Row(): | |
| voice_id = gr.Textbox(label="Voice ID") | |
| audio_file = gr.Audio(source="upload", type="file", label="Input Audio") | |
| with gr.Row(): | |
| output_audio = gr.File(label="Output Audio") | |
| error_message = gr.Textbox(label="Error Message", visible=False) | |
| def process_audio(voice_id, audio_file): | |
| result = sts_conversion(voice_id, audio_file) | |
| if result.endswith('.mp3'): | |
| return result, "" | |
| else: | |
| return None, result | |
| submit_btn = gr.Button("Convert") | |
| submit_btn.click( | |
| process_audio, | |
| inputs=[voice_id, audio_file], | |
| outputs=[output_audio, error_message] | |
| ) | |
| # Launch the Blocks interface | |
| demo.launch() | |