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import gradio as gr
import tempfile
from openai import OpenAI
first_alert = "1mp3.mp3"
next_alert = "3mp3.mp3"
def Txt_To_Speech(api_key, model, voice,speed,text):
if api_key == '':
output= first_alert
else:
try:
client = OpenAI(api_key=api_key)
response = client.audio.speech.create(
model=model,
voice=voice,
speed=speed,
input=text
)
with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
temp_file.write(response.content)
temp_file_path = temp_file.name
output = temp_file_path
except :
output = next_alert
return output
with gr.Blocks() as demo:
gr.Markdown("# TTS Text To Speech using OpenAI ")
text1 = gr.Textbox(type = 'password',label="Enter your API-Key", placeholder="API-Key", lines=1)
model = gr.Dropdown(choices=["tts-1", "tts-1-hd"], label="Model", value="tts-1")
voice = gr.Dropdown(choices=["alloy", "echo", "fable", "onyx", "nova", "shimmer"], label="Voice Options",
value="alloy")
speed = gr.Slider(minimum=0.25, maximum=4.0, value=1.0, step=0.01, label="Speed")
text = gr.Textbox(label="Please Enter text",placeholder="Enter your Input")
gr.Interface(
Txt_To_Speech,
[
text1,model,voice,speed,text
],
outputs=gr.Audio(label="Speech Output")
)
demo.launch()
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