Create app.py

app.py

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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()