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app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 import fitz  # PyMuPDF
 from transformers import pipeline
-import pyttsx3
+from gtts import gTTS
 import tempfile
 import os
 
@@ -25,16 +25,6 @@ def extract_text(file):
 def load_explainer():
     return pipeline("text2text-generation", model="google/flan-t5-large")
 
-# Text-to-speech function
-def speak_text(text):
-    engine = pyttsx3.init()
-    engine.setProperty('rate', 150)
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
-        filename = f.name
-    engine.save_to_file(text, filename)
-    engine.runAndWait()
-    return filename
-
 # Main logic
 if uploaded_file:
     text_data = extract_text(uploaded_file)
@@ -70,12 +60,14 @@ if uploaded_file:
         st.success("Explanation:")
         st.write(response)
 
-        # Play text as speech
-        if st.button("🎧 Listen to Explanation"):
-            audio_file = speak_text(response)
-            audio_bytes = open(audio_file, 'rb').read()
-            st.audio(audio_bytes, format='audio/mp3')
-            os.remove(audio_file)
+        # Text-to-speech using gTTS
+        tts = gTTS(text=response)
+        temp_audio = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
+        tts.save(temp_audio.name)
+
+        audio_file = open(temp_audio.name, 'rb')
+        audio_bytes = audio_file.read()
+        st.audio(audio_bytes, format='audio/mp3')
 
 else:
     st.info("Upload a PDF Health Report to begin.")