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import gradio as gr
from langdetect import detect
from gtts import gTTS
import tempfile
# Define a mapping from language codes to language names.
lang_map = {
'en': 'English',
'es': 'Spanish',
'fr': 'French',
'de': 'German',
'it': 'Italian',
'pt': 'Portuguese',
'nl': 'Dutch',
'ru': 'Russian',
'zh-cn': 'Chinese (Simplified)',
'ja': 'Japanese',
'ko': 'Korean',
'pl': 'Polish',
'uk': 'Ukrainian',
'sk': 'Slovak',
'lt': 'Lithuanian',
'cs': 'Czech',
'sr': 'Serbian',
'hr': 'Croatian',
'hi': 'Hindi'
}
def identify_and_pronounce(name, selected_lang):
"""
This function detects the language of the given name and generates its pronunciation using gTTS.
Parameters:
name (str): The name input provided by the user.
selected_lang (str): Either 'Auto' (to use detected language) or a specific language name to override.
Returns:
tuple: A status message string and the path to the generated audio file.
"""
# Check for empty or whitespace-only name input.
if not name or name.strip() == "":
return "Please enter a name.", None
# Attempt to detect the language of the input name.
try:
detected_lang = detect(name)
except Exception as e:
return f"Error detecting language: {str(e)}", None
# Get the human-readable language name for the detected code.
detected_lang_name = lang_map.get(detected_lang, 'English (default)')
# Use English as default if detected language code is not in our mapping.
detected_lang_code = detected_lang if detected_lang in lang_map else 'en'
# Use the provided override language if it's not "Auto"
if selected_lang != "Auto" and selected_lang in lang_map.values():
lang_name = selected_lang
# Get the corresponding language code for the selected language.
lang_code = [code for code, name in lang_map.items() if name == selected_lang][0]
else:
lang_name = detected_lang_name
lang_code = detected_lang_code
# Generate pronunciation audio using gTTS.
try:
tts = gTTS(text=name, lang=lang_code, slow=False)
# Create a temporary file in the allowed directory.
# delete=False ensures the file persists after closing so that Gradio can serve it.
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
tts.save(temp_file.name) # Save the TTS output to the temporary file.
temp_file.close() # Close the file handle.
return f"Detected language: {detected_lang_name}\nPronounced in: {lang_name}", temp_file.name
except Exception as e:
return f"Error generating pronunciation: {str(e)}", None
# Prepare language options for the dropdown input.
language_options = ["Auto"] + list(lang_map.values())
# Create a Gradio Interface.
# Note: Specify `type="filepath"` for gr.Audio so that it expects a file path.
interface = gr.Interface(
fn=identify_and_pronounce,
inputs=[
gr.Textbox(label="Enter a name", value="Tomasz Durzyński"),
gr.Dropdown(choices=language_options, label="Select Language (Auto uses detection)", value="Auto")
],
outputs=[
gr.Textbox(label="Language Info"),
gr.Audio(label="Pronunciation", type="filepath")
],
title="Name Language Detector and Pronouncer",
description=("Enter a name to detect its language and hear it pronounced. "
"Optionally, select a language to override the default.")
)
# Launch the app.
# Bind to 0.0.0.0 so that HF Spaces can properly route requests to your app.
interface.launch(server_name="0.0.0.0")
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