tts

app.py

@@ -1,126 +0,0 @@
-# =========================================================
-# 1) INSTALL DEPENDENCIES
-# =========================================================
-!pip -q install git+https://github.com/huggingface/parler-tts.git
-!pip -q install soundfile transformers accelerate sentencepiece huggingface_hub
-
-# =========================================================
-# 2) IMPORTS
-# =========================================================
-import os
-import torch
-import soundfile as sf
-from IPython.display import Audio, display
-from google.colab import files
-from parler_tts import ParlerTTSForConditionalGeneration
-from transformers import AutoTokenizer
-from huggingface_hub import notebook_login, hf_hub_download
-
-# =========================================================
-# 3) HUGGING FACE LOGIN
-# =========================================================
-print("🔐 Please login with your Hugging Face READ token")
-notebook_login()
-
-# =========================================================
-# 4) VERIFY MODEL ACCESS
-# =========================================================
-MODEL_NAME = "ai4bharat/indic-parler-tts"
-
-try:
-    hf_hub_download(
-        repo_id=MODEL_NAME,
-        filename="config.json"
-    )
-    print("✅ Model access verified")
-except Exception as e:
-    print("❌ ACCESS ERROR")
-    print("Open this page:")
-    print("https://huggingface.co/ai4bharat/indic-parler-tts")
-    print("Then click 👉 Agree and access repository")
-    raise e
-
-# =========================================================
-# 5) DEVICE
-# =========================================================
-device = "cuda" if torch.cuda.is_available() else "cpu"
-print("🚀 Using device:", device)
-
-# =========================================================
-# 6) LOAD MODEL
-# =========================================================
-print("⏳ Loading Kannada TTS model...")
-model = ParlerTTSForConditionalGeneration.from_pretrained(
-    MODEL_NAME
-).to(device)
-
-tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
-
-description_tokenizer = AutoTokenizer.from_pretrained(
-    model.config.text_encoder._name_or_path
-)
-
-print("✅ Model loaded successfully")
-
-# =========================================================
-# 7) SAFE GENERATION FUNCTION
-# =========================================================
-def generate_kannada_tts(prompt_text, output_file="/content/kannada_output.wav"):
-    prompt_text = str(prompt_text).strip()
-
-    if not prompt_text:
-        raise ValueError("❌ Kannada input cannot be empty")
-
-    description = (
-        "A calm Kannada male speaker with natural pronunciation, "
-        "clear studio quality audio, smooth narration, "
-        "and no background noise."
-    )
-
-    description_inputs = description_tokenizer(
-        description,
-        return_tensors="pt"
-    ).to(device)
-
-    prompt_inputs = tokenizer(
-        prompt_text,
-        return_tensors="pt"
-    ).to(device)
-
-    with torch.no_grad():
-        generation = model.generate(
-            input_ids=description_inputs.input_ids,
-            prompt_input_ids=prompt_inputs.input_ids
-        )
-
-    audio = generation.cpu().numpy().squeeze()
-
-    sf.write(
-        output_file,
-        audio,
-        model.config.sampling_rate
-    )
-
-    print(f"✅ Audio saved → {output_file}")
-    display(Audio(output_file))
-
-    return output_file
-
-# =========================================================
-# 8) USER INPUT OUTSIDE FUNCTION
-# =========================================================
-user_text = input("Enter Kannada text: ")
-
-# Example:
-# ನಮಸ್ಕಾರ, ನನ್ನ ಹೆಸರು ಅಥ್ಮಿಕ
-
-try:
-    output_path = generate_kannada_tts(user_text)
-except Exception as e:
-    print("❌ Error:", e)
-
-# =========================================================
-# 9) DOWNLOAD
-# =========================================================
-if os.path.exists("/content/kannada_output.wav"):
-    files.download("/content/kannada_output.wav")

requirements.txt

@@ -1,7 +0,0 @@
-gradio
-git+https://github.com/huggingface/parler-tts.git
-soundfile
-transformers
-accelerate
-sentencepiece
-torch