|
|
|
"""
|
|
Quick test script to verify everything works before full demo
|
|
"""
|
|
|
|
import numpy as np
|
|
import gradio as gr
|
|
|
|
print("🧪 Testing core libraries...")
|
|
|
|
try:
|
|
import torch
|
|
print("✅ PyTorch:", torch.__version__)
|
|
except ImportError as e:
|
|
print("❌ PyTorch:", e)
|
|
|
|
try:
|
|
import librosa
|
|
print("✅ Librosa:", librosa.__version__ if hasattr(librosa, '__version__') else "OK")
|
|
|
|
|
|
y = np.random.randn(1000).astype(np.float32)
|
|
mfcc = librosa.feature.mfcc(y=y, sr=16000, n_mfcc=1)
|
|
stft = librosa.stft(y)
|
|
print("✅ Librosa functions working")
|
|
|
|
except ImportError as e:
|
|
print("❌ Librosa import:", e)
|
|
except Exception as e:
|
|
print("❌ Librosa functions:", e)
|
|
|
|
try:
|
|
import numba
|
|
print("✅ Numba:", numba.__version__)
|
|
except ImportError as e:
|
|
print("❌ Numba:", e)
|
|
|
|
print("\n🎤 Testing Silero-VAD...")
|
|
try:
|
|
model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',
|
|
model='silero_vad',
|
|
force_reload=False)
|
|
|
|
|
|
test_audio = torch.randn(1, 512)
|
|
with torch.no_grad():
|
|
result = model(test_audio, 16000)
|
|
print(f"✅ Silero-VAD working: {result.item():.3f}")
|
|
|
|
except Exception as e:
|
|
print(f"❌ Silero-VAD error: {e}")
|
|
|
|
print("\n🎨 Testing Gradio...")
|
|
try:
|
|
def dummy_function(audio):
|
|
if audio is not None:
|
|
return "Audio received!", np.random.random()
|
|
return "No audio", 0.0
|
|
|
|
interface = gr.Interface(
|
|
fn=dummy_function,
|
|
inputs=gr.Audio(sources=["microphone"], type="numpy"),
|
|
outputs=[gr.Textbox(), gr.Number()],
|
|
title="Quick Test"
|
|
)
|
|
|
|
print("✅ Gradio interface created")
|
|
|
|
|
|
print("\n🚀 Launching test interface on http://127.0.0.1:7860")
|
|
print(" Test microphone, then close and run full demo")
|
|
|
|
interface.launch(
|
|
server_name="127.0.0.1",
|
|
server_port=7860,
|
|
show_error=True,
|
|
quiet=False
|
|
)
|
|
|
|
except Exception as e:
|
|
print(f"❌ Gradio error: {e}")
|
|
|
|
print("\n🎯 If everything above shows ✅, run: python app.py")
|
|
|