Update helpers.py

helpers.py

@@ -1,10 +1,10 @@
-# helpers.py
-
 import base64
 import streamlit as st
 import os
 import openai
 from dotenv import load_dotenv
+from gtts import gTTS
+import textwrap
 
 # Function to accept OpenAI API Key as input from the user
 def get_api_key():
@@ -25,24 +25,29 @@ def speech_to_text(audio_data):
         )
     return transcript["text"]  # Extract the text from the response
 
-
-from gtts import gTTS
-
 def text_to_speech(input_text):
     """Generates a TTS audio file from the input text."""
-    tts = gTTS(text=input_text, lang="en")
-    audio_file_path = "temp_audio_play.mp3"
-    tts.save(audio_file_path)
-    return audio_file_path
-
-
-def autoplay_audio(file_path: str):
-    with open(file_path, "rb") as f:
-        data = f.read()
-    b64 = base64.b64encode(data).decode("utf-8")
-    md = f"""
-    <audio autoplay>
-    <source src="data:audio/mp3;base64,{b64}" type="audio/mp3">
-    </audio>
-    """
-    st.markdown(md, unsafe_allow_html=True)
+    # Split the text into manageable chunks
+    chunks = textwrap.wrap(input_text, 1000)  # Wrap at 1000 characters
+    
+    audio_file_paths = []
+    for i, chunk in enumerate(chunks):
+        tts = gTTS(text=chunk, lang="en")
+        audio_file_path = f"temp_audio_play_{i}.mp3"
+        tts.save(audio_file_path)
+        audio_file_paths.append(audio_file_path)
+
+    return audio_file_paths  # Return a list of file paths
+
+def autoplay_audio(file_paths: list):
+    """Automatically plays audio from the provided file paths."""
+    for file_path in file_paths:
+        with open(file_path, "rb") as f:
+            data = f.read()
+        b64 = base64.b64encode(data).decode("utf-8")
+        md = f"""
+        <audio autoplay>
+        <source src="data:audio/mp3;base64,{b64}" type="audio/mp3">
+        </audio>
+        """
+        st.markdown(md, unsafe_allow_html=True)