app.py

import streamlit as st

# Text input for user to type keystrokes
key_input = st.text_input("Enter Keystroke:", key="")

# Define voice, speed, and pitch variables (initial values)
voice = "en"  # English (change for other voices)
speed = 1.0
pitch = 1.0

# (Optional) Text pre-processing function (customize for specific needs)
def preprocess_text(text):
    # Implement your desired text cleaning or modification logic here
    return text

# Function to simulate text input to a text-to-speech API
def process_text(text):
    global voice, speed, pitch

    # Call pre-processing function (if implemented)
    preprocessed_text = preprocess_text(text)

    # Simulate text input to a text-to-speech API (replace with your chosen API)
    # This example demonstrates a basic placeholder
    print(f"Simulating text input to TTS API: {preprocessed_text} (Voice: {voice}, Speed: {speed}, Pitch: {pitch})")

    # You'll need to integrate your chosen text-to-speech API here

# Streamlit App
st.title("Text-to-Speech Announcer (Headless)")

# User Interface for customization options
voice_selected = st.selectbox("Voice", ["en", "fr", "es"])  # Add more options
speed_slider = st.slider("Speaking Speed", min_value=0.5, max_value=2.0, value=1.0)
pitch_slider = st.slider("Speaking Pitch", min_value=0.5, max_value=2.0, value=1.0)

# Update variables based on user selections
voice = voice_selected
speed = speed_slider
pitch = pitch_slider

# Button to trigger processing of entered text
if st.button("Announce Keystroke"):
    if key_input:
        process_text(key_input)
    else:
        st.error("Please enter a keystroke to announce.")

st.write("Enter a keystroke in the text box to synthesize speech.")