app.py

import streamlit as st
from keyboard import on_press, wait

# 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(key):
    pressed_key = str(key).replace("'", "")
    return pressed_key

# Function to handle key presses and trigger text-to-speech
def on_press_wrapper(key):
    global voice, speed, pitch

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

    # 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: {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 Keystroke 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

# Start keystroke listener on button press
if st.button("Start Keystroke Announcer"):
    on_press(on_press_wrapper)
    wait()  # Block execution until the listener is stopped

st.write("Press 'Esc' to stop keystroke detection (simulated).")