Add test script

test.py

@@ -0,0 +1,20 @@
+# Test script for Whisper Small Bengali
+import torch
+from transformers import WhisperForConditionalGeneration, WhisperTokenizer, WhisperProcessor
+import librosa
+
+# Load model
+model = WhisperForConditionalGeneration.from_pretrained("Noobbbbb/whisper-small-8k")
+tokenizer = WhisperTokenizer.from_pretrained("Noobbbbb/whisper-small-8k")
+processor = WhisperProcessor.from_pretrained("openai/whisper-small")
+
+# Load audio
+audio, sr = librosa.load("test_audio.wav", sr=16000)
+
+# Transcribe
+input_features = processor.feature_extractor(audio, sampling_rate=16000, return_tensors="pt").input_features
+with torch.no_grad():
+    generated_ids = model.generate(input_features, max_length=448)
+transcription = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
+
+print(f"Transcription: {transcription}")