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Update app.py
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app.py
CHANGED
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import gradio as gr
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import numpy as np
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import tempfile
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import os
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from openai import OpenAI
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import
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import json
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# Initialize OpenAI client
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client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
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# ChatTTS API endpoint and key
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CHATTTS_API_ENDPOINT = "https://api.chattts.com/v1/generate"
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CHATTTS_API_KEY = os.environ.get("CHATTTS_API_KEY")
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def openai_tts(text, voice, model):
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try:
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response = client.audio.speech.create(
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except Exception as e:
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return None, f"Error in OpenAI TTS speech generation: {str(e)}"
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def
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try:
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"voice": voice,
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"style": style
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {CHATTTS_API_KEY}"
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}
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response = requests.post(CHATTTS_API_ENDPOINT, json=payload, headers=headers)
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response.raise_for_status()
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# Save the audio to a temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
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temp_audio_path = temp_audio.name
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return temp_audio_path, f"Speech generated with
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except Exception as e:
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return None, f"Error in ChatTTS speech generation: {str(e)}"
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def generate_simple_sound(description, duration, frequency):
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try:
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sample_rate = 44100
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t = np.linspace(0, duration, int(sample_rate * duration), False)
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if "rain" in description.lower():
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audio = np.random.normal(0, 0.1, len(t))
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elif "wind" in description.lower():
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audio = np.sin(2 * np.pi * frequency * t) * np.random.normal(1, 0.1, len(t))
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elif "bird" in description.lower():
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audio = np.sin(2 * np.pi * frequency * t) * np.exp(-0.5 * t)
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audio = np.tile(audio, int(duration / 0.5))[:len(t)]
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else:
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audio = np.sin(2 * np.pi * frequency * t)
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audio = audio / np.max(np.abs(audio))
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output_path = tempfile.mktemp(suffix=".wav")
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sf.write(output_path, audio, sample_rate)
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return output_path, f"Simple sound generated for '{description}'"
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except Exception as e:
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return None, f"Error in
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# Gradio interface
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with gr.Blocks() as iface:
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gr.Markdown("# OpenAI TTS
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speech_message = gr.Textbox(label="Message")
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with gr.Tab("Simple Sound Generation"):
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prompt_input = gr.Textbox(label="Sound Description", placeholder="Describe the sound (e.g., rain, wind, bird)...")
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duration_input = gr.Slider(label="Duration (seconds)", minimum=1.0, maximum=30.0, step=0.5, value=5.0)
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frequency_input = gr.Slider(label="Base Frequency (Hz)", minimum=20, maximum=2000, step=10, value=440)
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sound_button = gr.Button("Generate Sound")
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sound_output = gr.Audio(label="Generated Sound")
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sound_message = gr.Textbox(label="Message")
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def generate_speech(text, method, openai_voice, openai_model,
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if method == "OpenAI TTS":
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return openai_tts(text, openai_voice, openai_model)
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else:
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return
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speech_button.click(generate_speech,
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inputs=[text_input, tts_method, openai_voice_input, openai_model_input,
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outputs=[speech_output, speech_message])
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outputs=[sound_output, sound_message])
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iface.launch()
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import gradio as gr
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import tempfile
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import os
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from openai import OpenAI
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from gtts import gTTS
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import base64
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# Initialize OpenAI client
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client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
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def openai_tts(text, voice, model):
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try:
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response = client.audio.speech.create(
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except Exception as e:
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return None, f"Error in OpenAI TTS speech generation: {str(e)}"
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def google_tts(text, lang, tld):
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try:
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tts = gTTS(text=text, lang=lang, tld=tld, slow=False)
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# Save the audio to a temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
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tts.save(temp_audio.name)
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temp_audio_path = temp_audio.name
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return temp_audio_path, f"Speech generated with Google TTS using {lang} language and {tld} TLD"
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except Exception as e:
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return None, f"Error in Google TTS speech generation: {str(e)}"
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# Gradio interface
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with gr.Blocks() as iface:
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gr.Markdown("# OpenAI TTS and Google TTS Tool")
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text_input = gr.Textbox(label="Enter text for speech generation")
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tts_method = gr.Radio(["OpenAI TTS", "Google TTS"], label="TTS Method", value="OpenAI TTS")
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with gr.Group() as openai_options:
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gr.Markdown("OpenAI TTS Options")
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openai_voice_input = gr.Dropdown(["alloy", "echo", "fable", "onyx", "nova", "shimmer"], label="Select Voice", value="nova")
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openai_model_input = gr.Dropdown(["tts-1", "tts-1-hd"], label="Select Model", value="tts-1")
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with gr.Group() as google_options:
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gr.Markdown("Google TTS Options")
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google_lang_input = gr.Dropdown(["en", "es", "fr", "de", "it", "ja", "ko", "pt", "ru", "zh-CN"], label="Select Language", value="en")
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google_tld_input = gr.Dropdown(["com", "co.uk", "com.au", "co.in", "ca", "ie", "co.za"], label="Select TLD (Accent)", value="com")
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speech_button = gr.Button("Generate Speech")
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speech_output = gr.Audio(label="Generated Speech")
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speech_message = gr.Textbox(label="Message")
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def generate_speech(text, method, openai_voice, openai_model, google_lang, google_tld):
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if method == "OpenAI TTS":
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return openai_tts(text, openai_voice, openai_model)
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else:
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return google_tts(text, google_lang, google_tld)
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def update_visible_options(method):
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return (
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gr.Group.update(visible=(method == "OpenAI TTS")),
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gr.Group.update(visible=(method == "Google TTS"))
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)
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speech_button.click(generate_speech,
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inputs=[text_input, tts_method, openai_voice_input, openai_model_input, google_lang_input, google_tld_input],
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outputs=[speech_output, speech_message])
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tts_method.change(update_visible_options, inputs=[tts_method], outputs=[openai_options, google_options])
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iface.launch()
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