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import gradio as gr
from TTS.api import TTS
from pydub import AudioSegment
import tempfile
import os
# Load Hugging Face TTS model
tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False)
def text_to_speech_hf(text, rate, pitch):
if not text.strip():
return None, "Please enter text to convert."
try:
# Temporary WAV file
tmp_wav = "/tmp/output.wav"
tmp_mp3 = "/tmp/output.mp3"
# Adjust rate (speed). Note: pitch adjustment not directly supported
speed = 1.0 + (rate / 100.0) # rate -50 to +50
tts.tts_to_file(text=text, file_path=tmp_wav, speaker=tts.speakers[0], speed=speed)
# Convert WAV to MP3
audio = AudioSegment.from_wav(tmp_wav)
audio.export(tmp_mp3, format="mp3")
return tmp_mp3, None
except Exception as e:
return None, f"TTS generation failed: {e}"
with gr.Blocks(analytics_enabled=False) as demo:
gr.Markdown("# 🎙️ Hugging Face TTS Text-to-Speech")
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("## Text-to-Speech with Hugging Face TTS")
gr.Markdown("""
Convert text to speech using Hugging Face TTS model.
Adjust speech rate: 0 is default, positive values increase speed, negative values decrease.
""")
gr.HTML("""
<div style="margin: 20px 0; padding: 15px; border: 1px solid #4CAF50; border-radius: 10px; background-color: #f1f8e9;">
<p style="margin-top: 0;"><b>Looking for more features?</b></p>
<p>You can upgrade to advanced versions that include:</p>
<ul>
<li><b>Subtitle Support</b>: Input SRT format or TXT</li>
<li><b>File Upload</b>: Easily upload text files</li>
<li><b>MP3 Output</b>: Generate audio in multiple formats</li>
</ul>
<div style="text-align: center; margin-top: 15px;">
<a href="https://text-to-speech.wingetgui.com/" target="_blank"
style="display: inline-block;
background: linear-gradient(45deg, #4CAF50, #8BC34A);
color: white;
padding: 12px 30px;
text-decoration: none;
border-radius: 30px;
font-weight: bold;
font-size: 16px;">Try New Version ➔</a>
</div>
</div>
""")
with gr.Column(scale=1):
gr.HTML("""
<div style="height: 100%; background-color: #f0f8ff; padding: 15px; border-radius: 10px;">
<h2 style="color: #1e90ff; margin-top: 0;">Turn Your Text Into Professional Videos!</h2>
<ul style="list-style-type: none; padding-left: 0;">
<li>✅ <b>40+ languages and 300+ voices supported</b></li>
<li>✅ <b>Custom backgrounds, music, and visual effects</b></li>
<li>✅ <b>Create engaging video content from simple text</b></li>
<li>✅ <b>Perfect for educators, content creators, and marketers</b></li>
</ul>
<div style="text-align: center; margin-top: 20px;">
<span style="font-size: 96px;">🎬</span>
<div style="margin-top: 15px;">
<a href="https://text2video.wingetgui.com/" target="_blank"
style="display: inline-block;
background: linear-gradient(45deg, #2196F3, #21CBF3);
color: white;
padding: 12px 30px;
text-decoration: none;
border-radius: 30px;
font-weight: bold;
font-size: 16px;">Try Text-to-Video ➔</a>
</div>
</div>
</div>
""")
with gr.Row():
with gr.Column():
text_input = gr.Textbox(label="Input Text", lines=5)
rate_slider = gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1)
pitch_slider = gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1)
generate_btn = gr.Button("Generate Speech", variant="primary")
audio_output = gr.Audio(label="Generated Audio", type="filepath")
warning_md = gr.Markdown(label="Warning", visible=False)
generate_btn.click(
fn=text_to_speech_hf,
inputs=[text_input, rate_slider, pitch_slider],
outputs=[audio_output, warning_md]
)
gr.Markdown("Experience the power of Hugging Face TTS for text-to-speech conversion, and explore our advanced Text-to-Video Converter for more creative possibilities!")
demo.queue()
demo.launch(show_api=False)
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