Update README.md

README.md

@@ -1,3 +1,36 @@
----
-license: mit
----
+---
+license: mit
+tags:
+- asr
+- whisper
+- speech-recognition
+---
+
+
+```python
+
+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+import librosa 
+import torch 
+
+
+model_name = "basharalrfooh/whisper-samll-quran"
+processor = WhisperProcessor.from_pretrained(model_name)
+model = WhisperForConditionalGeneration.from_pretrained(model_name)
+model.config.forced_decoder_ids = None
+
+
+audio_file = "Your .wav file"
+
+speech_array, sampling_rate = librosa.load(audio_file, sr=16000)
+
+inputs = processor(speech_array, return_tensors="pt", sampling_rate=sampling_rate)
+
+with torch.no_grad():
+    predicted_ids = model.generate(inputs["input_features"])
+
+# Decode token IDs to text
+transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
+
+print(f"Transcription: {transcription}")
+