kripeshAlt commited on
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02540e4
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1 Parent(s): 1b41e6d

Update app.py

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Files changed (1) hide show
  1. app.py +28 -126
app.py CHANGED
@@ -1,132 +1,34 @@
1
  import gradio as gr
2
- import edge_tts
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  import asyncio
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- import tempfile
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- import os
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-
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- async def get_voices():
8
- voices = await edge_tts.list_voices()
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- return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}
10
-
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- async def text_to_speech(text, voice, rate, pitch):
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- if not text.strip():
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- return None, "Please enter text to convert."
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- if not voice:
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- return None, "Please select a voice."
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-
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- voice_short_name = voice.split(" - ")[0]
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- rate_str = f"{rate:+d}%"
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- pitch_str = f"{pitch:+d}Hz"
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- communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
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-
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- # Save directly to mp3 file (Edge TTS actually outputs mp3 format)
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- with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
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- tmp_path = tmp_file.name
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- await communicate.save(tmp_path)
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-
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- return tmp_path, None
28
 
29
- async def tts_interface(text, voice, rate, pitch):
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- audio, warning = await text_to_speech(text, voice, rate, pitch)
31
- if warning:
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- return audio, gr.Warning(warning)
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- return audio, None
 
34
 
35
- async def create_demo():
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- voices = await get_voices()
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-
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- with gr.Blocks(analytics_enabled=False) as demo:
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- gr.Markdown("# 🎙️ Edge TTS Text-to-Speech")
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-
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- with gr.Row():
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- with gr.Column(scale=1):
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- gr.Markdown("## Text-to-Speech with Microsoft Edge TTS")
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- gr.Markdown("""
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- Convert text to speech using Microsoft Edge TTS.
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- Adjust speech rate and pitch: 0 is default, positive values increase, negative values decrease.
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- """)
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-
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- gr.HTML("""
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- <div style="margin: 20px 0; padding: 15px; border: 1px solid #4CAF50; border-radius: 10px; background-color: #f1f8e9;">
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- <p style="margin-top: 0;"><b>Looking for the new version with more features?</b></p>
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- <p>The new version includes:</p>
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- <ul>
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- <li><b>SRT Subtitle Support</b>: Upload SRT files or input SRT format text</li>
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- <li><b>File Upload</b>: Easily upload TXT or SRT files</li>
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- <li><b>Smart Format Detection</b>: Detects plain text or SRT format</li>
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- <li><b>MP3 Output</b>: Generate high-quality MP3 audio</li>
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- </ul>
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- <div style="text-align: center; margin-top: 15px;">
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- <a href="https://text-to-speech.wingetgui.com/" target="_blank"
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- style="display: inline-block;
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- background: linear-gradient(45deg, #4CAF50, #8BC34A);
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- color: white;
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- padding: 12px 30px;
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- text-decoration: none;
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- border-radius: 30px;
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- font-weight: bold;
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- font-size: 16px;
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- box-shadow: 0 4px 10px rgba(76, 175, 80, 0.3);
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- transition: all 0.3s ease;">Try New Version ➔</a>
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- </div>
72
- </div>
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- """)
74
-
75
- with gr.Column(scale=1):
76
- gr.HTML("""
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- <div style="height: 100%; background-color: #f0f8ff; padding: 15px; border-radius: 10px;">
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- <h2 style="color: #1e90ff; margin-top: 0;">Turn Your Text Into Professional Videos!</h2>
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- <ul style="list-style-type: none; padding-left: 0;">
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- <li>✅ <b>40+ languages and 300+ voices supported</b></li>
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- <li>✅ <b>Custom backgrounds, music, and visual effects</b></li>
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- <li>✅ <b>Create engaging video content from simple text</b></li>
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- <li>✅ <b>Perfect for educators, content creators, and marketers</b></li>
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- </ul>
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- <div style="text-align: center; margin-top: 20px;">
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- <span style="font-size: 96px;">🎬</span>
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- <div style="margin-top: 15px;">
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- <a href="https://text2video.wingetgui.com/" target="_blank"
89
- style="display: inline-block;
90
- background: linear-gradient(45deg, #2196F3, #21CBF3);
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- color: white;
92
- padding: 12px 30px;
93
- text-decoration: none;
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- border-radius: 30px;
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- font-weight: bold;
96
- font-size: 16px;
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- box-shadow: 0 4px 10px rgba(33, 150, 243, 0.3);
98
- transition: all 0.3s ease;">Try Text-to-Video ➔</a>
99
- </div>
100
- </div>
101
- </div>
102
- """)
103
-
104
- with gr.Row():
105
- with gr.Column():
106
- text_input = gr.Textbox(label="Input Text", lines=5)
107
- voice_dropdown = gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Voice", value="")
108
- rate_slider = gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1)
109
- pitch_slider = gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1)
110
-
111
- generate_btn = gr.Button("Generate Speech", variant="primary")
112
-
113
- audio_output = gr.Audio(label="Generated Audio", type="filepath")
114
- warning_md = gr.Markdown(label="Warning", visible=False)
115
-
116
- generate_btn.click(
117
- fn=tts_interface,
118
- inputs=[text_input, voice_dropdown, rate_slider, pitch_slider],
119
- outputs=[audio_output, warning_md]
120
- )
121
-
122
- gr.Markdown("Experience the power of Edge TTS for text-to-speech conversion, and explore our advanced Text-to-Video Converter for even more creative possibilities!")
123
-
124
- return demo
125
 
126
- async def main():
127
- demo = await create_demo()
128
- demo.queue(default_concurrency_limit=50)
129
- demo.launch(show_api=False)
 
 
 
130
 
131
- if __name__ == "__main__":
132
- asyncio.run(main())
 
 
 
 
 
 
 
 
 
 
1
  import gradio as gr
 
2
  import asyncio
3
+ import edge_tts
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
 
5
+ # Async function to generate TTS
6
+ async def generate_tts(text, voice="en-US-JennyNeural"):
7
+ output_path = "output.mp3"
8
+ communicate = edge_tts.Communicate(text, voice)
9
+ await communicate.save(output_path)
10
+ return output_path
11
 
12
+ # Gradio wrapper for async function
13
+ def tts_wrapper(text, voice):
14
+ return asyncio.run(generate_tts(text, voice))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
 
16
+ # Available voice list (optional - you can expand this)
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+ voices = [
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+ "en-US-JennyNeural",
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+ "en-US-GuyNeural",
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+ "en-GB-LibbyNeural",
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+ "en-IN-NeerjaNeural"
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+ ]
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24
+ # Gradio Interface
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+ gr.Interface(
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+ fn=tts_wrapper,
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+ inputs=[
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+ gr.Textbox(label="Enter text to speak"),
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+ gr.Dropdown(choices=voices, label="Choose Voice", value="en-US-JennyNeural")
30
+ ],
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+ outputs=gr.Audio(type="filepath", label="Generated Speech"),
32
+ title="Edge TTS with Gradio",
33
+ description="Enter text and get TTS audio using Microsoft Edge voices."
34
+ ).launch()