Minor Fixes

README.md

@@ -50,10 +50,10 @@ import torch
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 import argparse
 
-def parse_transcription(checkpoint_path, wav_file):
+def parse_transcription(wav_file):
     # load pretrained model
-    processor = Wav2Vec2Processor.from_pretrained(checkpoint_path)
-    model = Wav2Vec2ForCTC.from_pretrained(checkpoint_path)
+    processor = Wav2Vec2Processor.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
+    model = Wav2Vec2ForCTC.from_pretrained("Harveenchadha/vakyansh-wav2vec2-hindi-him-4200")
 
     # load audio
     audio_input, sample_rate = sf.read(wav_file)
@@ -125,7 +125,7 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 
 **Test Result**: 33.17 %
 
-[**Colab Demo**](https://colab.research.google.com/github/harveenchadha/bol/blob/main/demos/hf/hindi/hf_vakyansh_hindi_him_4200_evaluation_common_voice.ipynb) 
+[**Colab Evaluation**](https://colab.research.google.com/github/harveenchadha/bol/blob/main/demos/hf/hindi/hf_vakyansh_hindi_him_4200_evaluation_common_voice.ipynb) 
 
 ## Credits
 Thanks to Ekstep Foundation for making this possible. The vakyansh team will be open sourcing speech models in all the Indic Languages.