Update app.py

app.py

@@ -1,43 +1,31 @@
 import streamlit as st
-import pyttsx3
+from gtts import gTTS
 import os
 
-# Initialize the TTS engine
-engine = pyttsx3.init()
-
-# Configure Streamlit interface
+# Streamlit app setup
 st.title("Text-to-Speech Converter")
-st.write("Convert your text into speech quickly and easily.")
-
-# User input for text
-user_input = st.text_area("Enter the text you want to convert to speech:", "")
-
-# Speed and voice options
-voice_option = st.selectbox("Select Voice:", ("Male", "Female"))
-rate = st.slider("Speech Rate:", min_value=100, max_value=200, value=150)
+st.write("Enter your text below to convert it into speech.")
 
-# Apply user settings to the TTS engine
-voices = engine.getProperty("voices")
-engine.setProperty("voice", voices[0].id if voice_option == "Male" else voices[1].id)
-engine.setProperty("rate", rate)
+# Text input
+user_input = st.text_area("Enter text here:", "")
 
-# Convert text to speech and save as audio file
 if st.button("Convert to Speech"):
     if user_input.strip():
-        audio_file = "output_audio.mp3"
-        engine.save_to_file(user_input, audio_file)
-        engine.runAndWait()
+        # Generate speech
+        tts = gTTS(user_input, lang="en")
+        tts.save("output.mp3")
         
-        # Display audio player and download link
-        st.audio(audio_file, format="audio/mp3")
-        with open(audio_file, "rb") as file:
-            st.download_button("Download Audio", file, file_name="output_audio.mp3", mime="audio/mp3")
+        # Display audio player
+        st.audio("output.mp3", format="audio/mp3")
+
+        # Provide download link
+        with open("output.mp3", "rb") as audio_file:
+            st.download_button("Download Audio", audio_file, file_name="output.mp3", mime="audio/mp3")
         
         # Clean up
-        os.remove(audio_file)
+        os.remove("output.mp3")
     else:
-        st.error("Please enter some text to convert.")
+        st.error("Please enter some text.")
 
 # Footer
 st.markdown("Developed by [Your Name]. Deployed on Hugging Face Spaces.")
-