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import gradio as gr
from gtts import gTTS
from nltk import tokenize
import os
# Import necessary nltk libraries
import nltk
nltk.download('punkt')
# Global variable to store sentences
sentences = []
# Function to process text and generate sentence options
def process_text(mytext):
global sentences
sentences = tokenize.sent_tokenize(mytext)
return [f"{i + 1}. {s}" for i, s in enumerate(sentences)]
# Function to generate audio for the selected sentence
def generate_audio(selected_item):
if not selected_item:
return None
index = int(selected_item.split('.')[0]) - 1 # Adjust for 0-based index
if 0 <= index < len(sentences):
sentence = sentences[index]
tts = gTTS(text=sentence, lang='en')
audio_path = f'sentence_{index + 1}.mp3'
tts.save(audio_path)
return audio_path
else:
return None
# Function to update dropdown choices based on text input
def update_dropdown(mytext):
choices = process_text(mytext)
return gr.update(choices=choices)
# Create a Gradio Blocks app
with gr.Blocks() as app:
with gr.Row():
textbox = gr.Textbox(label="Enter your text here")
with gr.Row():
submit_button = gr.Button("Submit")
with gr.Row():
dropdown = gr.Dropdown(choices=[], label="Select Sentence")
with gr.Row():
audio_output = gr.Audio(label="Audio of Selected Sentence")
submit_button.click(fn=update_dropdown, inputs=textbox, outputs=dropdown)
dropdown.change(fn=generate_audio, inputs=dropdown, outputs=audio_output)
app.launch()
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