Spaces:
Runtime error
Runtime error
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
import os
|
| 3 |
+
import tempfile
|
| 4 |
+
from openai import OpenAI
|
| 5 |
+
import requests
|
| 6 |
+
import json
|
| 7 |
+
|
| 8 |
+
def create_header(api_key):
|
| 9 |
+
return {
|
| 10 |
+
'Authorization': f'Bearer {api_key}',
|
| 11 |
+
'Content-Type': 'application/json'
|
| 12 |
+
}
|
| 13 |
+
|
| 14 |
+
def tts(text, model, voice, api_key,url,speed):
|
| 15 |
+
if api_key == '':
|
| 16 |
+
raise gr.Error('Please enter your OpenAI API Key')
|
| 17 |
+
else:
|
| 18 |
+
try:
|
| 19 |
+
headers = create_header(api_key)
|
| 20 |
+
url = url
|
| 21 |
+
input_text = text
|
| 22 |
+
query = {
|
| 23 |
+
"model":model,
|
| 24 |
+
"input":input_text,
|
| 25 |
+
"voice":voice,
|
| 26 |
+
"response_format":"mp3",
|
| 27 |
+
"speed":speed,
|
| 28 |
+
}
|
| 29 |
+
response = requests.post(url=url, data=json.dumps(query), headers=headers)
|
| 30 |
+
except Exception as error:
|
| 31 |
+
# Handle any exception that occurs
|
| 32 |
+
raise gr.Error("An error occurred while generating speech. Please check your API key and try again.")
|
| 33 |
+
print(str(error))
|
| 34 |
+
|
| 35 |
+
# Create a temp file to save the audio
|
| 36 |
+
with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file:
|
| 37 |
+
temp_file.write(response.content)
|
| 38 |
+
|
| 39 |
+
# Get the file path of the temp file
|
| 40 |
+
temp_file_path = temp_file.name
|
| 41 |
+
|
| 42 |
+
return temp_file_path
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
with gr.Blocks() as demo:
|
| 46 |
+
gr.Markdown("# <center> OpenAI Text-To-Speech API with Gradio </center>")
|
| 47 |
+
gr.Markdown("This demo uses the OpenAI Text-To-Speech API to generate speech from text. You get free session key from https://dongsiqie.me/sess")
|
| 48 |
+
with gr.Row(variant='panel'):
|
| 49 |
+
api_key = gr.Textbox(type='password', label='OpenAI API Key', placeholder='Enter your API key to access the TTS demo')
|
| 50 |
+
model = gr.Dropdown(choices=['tts-1','tts-1-hd'], label='Model', value='tts-1-hd')
|
| 51 |
+
voice = gr.Dropdown(choices=['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'], label='Voice Options', value='nova')
|
| 52 |
+
url = gr.Textbox(label="URL", placeholder="Enter your URL and then click on the 'Text-To-Speech' button, or simply press the Enter key.", value='https://api.openai.com/v1/audio/speech')
|
| 53 |
+
#新增一个speed,数字滑块从0.25值4,默认是1
|
| 54 |
+
speed = gr.Slider(label="Speed", minimum=0.25, maximum=4, step=0.25, value=1)
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
text = gr.Textbox(label="Input text", placeholder="Enter your text and then click on the 'Text-To-Speech' button, or simply press the Enter key.")
|
| 58 |
+
btn = gr.Button("Text-To-Speech")
|
| 59 |
+
output_audio = gr.Audio(label="Speech Output")
|
| 60 |
+
|
| 61 |
+
text.submit(fn=tts, inputs=[text, model, voice, api_key,url,speed], outputs=output_audio, api_name="tts_enter_key", concurrency_limit=None)
|
| 62 |
+
btn.click(fn=tts, inputs=[text, model, voice, api_key,url,speed], outputs=output_audio, api_name="tts_button", concurrency_limit=None)
|
| 63 |
+
|
| 64 |
+
demo.launch()
|