Update app.py

app.py

@@ -1,7 +1,7 @@
 import os
 import streamlit as st
 import requests
-import pyttsx3
+from gtts import gTTS
 from transformers import pipeline
 from PIL import Image
 from dotenv import load_dotenv
@@ -32,11 +32,11 @@ def generate_text_based_on_mood(emotion):
     response = generator(prompt, max_length=50, num_return_sequences=1)
     return response[0]['generated_text']
 
-# Function to convert text to speech
+# Function to convert text to speech using gTTS
 def text_to_speech(text):
-    engine = pyttsx3.init()
-    engine.say(text)
-    engine.runAndWait()
+    tts = gTTS(text, lang='en')
+    tts.save("output.mp3")  # Save to a file
+    return "output.mp3"  # Return the filename for playing
 
 # Streamlit UI
 st.title("Facial Expression Mood Detector")
@@ -66,4 +66,7 @@ if uploaded_file is not None:
         st.write(joke)
 
         # Convert the generated joke to audio
-        text_to_speech(joke)
+        audio_file = text_to_speech(joke)
+
+        # Provide an audio player in the Streamlit app
+        st.audio(audio_file)  # Streamlit will handle playback