app.py

import os
import gradio as gr
from google import genai
from google.genai import types
import wave
import io

# --- Configuration ---
VOICE_NAME = 'Fenrir' 

# --- API Client Initialization ---
try:
    client = genai.Client(api_key=os.environ.get("GEMINI_API_KEY"))
except Exception as e:
    print(f"Error initializing Gemini client: {e}. Ensure GEMINI_API_KEY secret is set.")
    client = None

# --- Helper Function for Saving Audio ---
def wave_file(filename, pcm, channels=1, rate=24000, sample_width=2):
   """Saves PCM data to a WAV file."""
   with wave.open(filename, "wb") as wf:
      wf.setnchannels(channels)
      wf.setsampwidth(sample_width)
      wf.setframerate(rate)
      wf.writeframes(pcm)

# --- The Gradio Interface Function ---
def gemini_tts_kurmanji(kurmanji_text: str) -> str:
    """
    Takes a Kurmanji text prompt, handles API errors, and checks the response content.
    """
    if not client:
        raise gr.Error("Gemini API Client failed to initialize. Check the GEMINI_API_KEY secret.")

    print(f"Attempting to generate Kurmanji speech: '{kurmanji_text}' with voice {VOICE_NAME}")

    try:
        prompt = f"Speak the following text in Kurdish Kurmanji: {kurmanji_text}"

        response = client.models.generate_content(
            model="gemini-2.5-flash-preview-tts",
            contents=prompt, 
            config=types.GenerateContentConfig(
                response_modalities=["AUDIO"],
                speech_config=types.SpeechConfig(
                    voice_config=types.VoiceConfig(
                        prebuilt_voice_config=types.PrebuiltVoiceConfig(
                            voice_name=VOICE_NAME,
                        )
                    )
                ),
            )
        )

        # --- NEW: Robust Error Checking ---
        if not response.candidates or not response.candidates[0].content:
            # Check for block reasons (e.g., safety, policy)
            block_reason = response.candidates[0].finish_reason.name if response.candidates else "NO_CANDIDATE"
            
            # This is the most important part for debugging your 'NoneType' error:
            raise gr.Error(
                f"TTS Generation Failed. Reason: The model returned an empty response. "
                f"The finish reason was: {block_reason}. "
                f"This may indicate a quota limit, or the model could not generate the requested Kurmanji speech."
            )

        # Proceed if the content part is valid
        data = response.candidates[0].content.parts[0].inline_data.data
        file_name = 'kurmanji_output.wav'
        wave_file(file_name, data) 
        
        return file_name
    
    except Exception as e:
        error_message = f"An API error occurred during TTS generation: {e}"
        print(error_message)
        # Display the error in the Gradio interface
        raise gr.Error(error_message)


# --- Gradio Interface Definition ---
demo = gr.Interface(
    fn=gemini_tts_kurmanji,
    inputs=gr.Textbox(
        lines=3, 
        placeholder="Mînak: Silav, roj baş. Ez dixwazim Kurdî biaxivim.",
        label="Kurmanji Text to Convert"
    ),
    outputs=gr.Audio(
        type="filepath", 
        label="Generated Kurmanji Speech"
    ),
    title=f"🗣️ Gemini TTS for Kurdish Kurmanji (Voice: {VOICE_NAME})",
    description="Uses Gemini 2.5 Flash and natural language prompting. Check the logs for specific failure reasons."
)

if __name__ == "__main__":
    demo.launch()