app.py

import os
from flask import Flask, request, jsonify, send_file
from TTS.api import TTS
import gradio as gr

# -------------------------
# 1️⃣ Flask API
# -------------------------
app = Flask(__name__)

# Models / Characters
MODELS = {
    "Default Voice": "models/default_model",      # Local model path
    "Hindi Voice": "models/hindi_model",          # Local Hindi model
}

# Load TTS instances
tts_instances = {name: TTS(model_name=path, progress_bar=False) for name, path in MODELS.items()}

def synthesize(text, character):
    if character not in tts_instances:
        return None
    tts = tts_instances[character]
    output_path = f"/tmp/{character.replace(' ','_')}_output.wav"
    tts.tts_to_file(text=text, file_path=output_path)
    return output_path

# Flask API endpoint
@app.route("/generate", methods=["POST"])
def generate_api():
    data = request.json
    text = data.get("text", "")
    character = data.get("character", "Default Voice")
    output_file = synthesize(text, character)
    if output_file:
        return send_file(output_file, mimetype="audio/wav")
    return jsonify({"error": "Failed to generate speech"}), 400

# -------------------------
# 2️⃣ Gradio UI
# -------------------------
def gradio_generate(text, character):
    file_path = synthesize(text, character)
    return file_path

with gr.Blocks() as demo:
    gr.Markdown("## 🎙️ Custom Multi-Character TTS")
    
    with gr.Row():
        text_input = gr.Textbox(label="Enter Text", lines=5, placeholder="Type something...")
        character_dropdown = gr.Dropdown(choices=list(MODELS.keys()), label="Select Character", value="Default Voice")
        generate_btn = gr.Button("Generate Speech")
    
    audio_output = gr.Audio(label="Generated Audio", type="filepath")
    
    generate_btn.click(fn=gradio_generate, inputs=[text_input, character_dropdown], outputs=audio_output)

# -------------------------
# 3️⃣ Launch Flask + Gradio
# -------------------------
if __name__ == "__main__":
    import threading
    # Run Gradio in separate thread
    threading.Thread(target=lambda: demo.launch(server_name="0.0.0.0", server_port=7860, share=False)).start()
    
    # Run Flask API
    app.run(host="0.0.0.0", port=5000)