Create app.py

app.py

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+# streamlit_app.py
+import streamlit as st
+from transformers import pipeline
+import numpy as np
+import tempfile
+import soundfile as sf
+import os
+import io
+
+# Caching the text-to-speech model
+@st.cache_resource
+def load_tts_pipeline():
+    return pipeline("text-to-speech", model="microsoft/speecht5_tts")
+
+# Initialize the model once using cache
+tts_pipe = load_tts_pipeline()
+
+# Initialize session state for conversation history, bot response, and selected options
+if 'conversation_history' not in st.session_state:
+    st.session_state.conversation_history = ""
+if 'tts_audio' not in st.session_state:
+    st.session_state.tts_audio = None
+
+def convert_text_to_speech(text):
+    # Generate speech from text
+    audio = tts_pipe(text)
+    return audio
+
+def save_audio(audio):
+    # Save the audio to a temporary file
+    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.wav')
+    with open(temp_file.name, 'wb') as f:
+        f.write(audio['audio'])
+    return temp_file.name
+
+# Sidebar options
+st.sidebar.title("App Settings")
+
+# Option to toggle between features
+feature = st.sidebar.radio("Choose Feature:", ("Text-to-Speech", "Other Options"))
+
+# Text-to-Speech Feature
+if feature == "Text-to-Speech":
+    st.title("🗣 Text-to-Speech Converter")
+    st.subheader("Convert your text to speech using a TTS model!")
+
+    # Input field for text
+    user_message = st.text_area("Enter text to convert to speech:")
+
+    if st.button("Convert"):
+        if user_message:
+            # Convert text to speech
+            tts_audio = convert_text_to_speech(user_message)
+            audio_file = save_audio(tts_audio)
+            
+            # Display the audio player
+            st.audio(audio_file, format='audio/wav')
+            st.success("Conversion successful!")
+
+            # Clean up temporary file
+            os.remove(audio_file)
+        else:
+            st.warning("Please enter text before converting.")
+
+# About section
+st.markdown("---")
+st.markdown("### About this App")
+st.info("This app uses a text-to-speech model from the Hugging Face Transformers library. Enter text to hear it spoken out loud.")
+
+st.sidebar.markdown("---")
+st.sidebar.write("Created by [Your Name](https://github.com/yourprofile)")