Update helpers.py

helpers.py

@@ -3,8 +3,6 @@ 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():
@@ -25,29 +23,24 @@ 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."""
-    # 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)
+    tts = gTTS(text=input_text, lang="en")
+    audio_file_path = "temp_audio_play.mp3"
+    tts.save(audio_file_path)
+    return 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)
+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)