Delete DocVoice.py

DocVoice.py

@@ -1,44 +0,0 @@
-# DocVoice.py
-import torch
-from transformers import pipeline
-import soundfile as sf
-
-# -------------------
-# 1️⃣ Detect GPU
-# -------------------
-use_cuda = torch.cuda.is_available()
-device = 0 if use_cuda else -1
-print(f"🌟 Using {'GPU' if use_cuda else 'CPU'}")
-
-# -------------------
-# 2️⃣ Load TTS model
-# -------------------
-tts_model_id = "microsoft/speecht5_tts"  # Compatible TTS model
-
-tts_pipe = pipeline(
-    "text-to-speech",
-    model=tts_model_id,
-    device=device
-)
-
-print("🔊 TTS pipeline ready using Hugging Face.")
-
-# -------------------
-# 3️⃣ TTS Helper Function
-# -------------------
-def text_to_speech(text: str, filename="assistant_response.wav"):
-    """
-    Generate speech from text and save as WAV file.
-    """
-    if not text.strip():
-        return None
-
-    print(f"📝 Generating audio for: {text}")
-
-    speech_array = tts_pipe(text)[0]["array"]  # returns numpy array
-    sample_rate = tts_pipe.model.config.sampling_rate if hasattr(tts_pipe.model.config, "sampling_rate") else 16000
-
-    # Save audio
-    sf.write(filename, speech_array, sample_rate)
-    print(f"✅ Audio saved as {filename}")
-    return filename