Update README.md

README.md

@@ -64,16 +64,29 @@ The model has been finetuned on Coommonvoice-v13 (FR) for 14 epochs on 4x2080 Ti
 The model can be used directly using the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) library:
 
 ```python
+import pandas as pd
 from huggingsound import SpeechRecognitionModel
 
 model = SpeechRecognitionModel("Cnam-LMSSC/wav2vec2-french-phonemizer")
-audio_paths = ["/path/to/file.mp3", "/path/to/another_file.wav"]
+
+audio_paths = ["./test_relecture_texte.wav", "./10179_11051_000021.flac"]
 
 # No need for the Audio files to be sampled at 16 kHz here, they are automatically resampled by Huggingsound
 
 transcriptions = model.transcribe(audio_paths)
+
+# (Optionnal) Display results in a table :
+
+df = pd.DataFrame(transcriptions)
+df['Audio file'] = pd.DataFrame(audio_paths)
+df.set_index('Audio file', inplace=True)
+
+df[['transcription']]
 ```
 
+Output : 
+
+
 
 |    | Audio file                 | transcription                                                                                                                                           |
 |---:|:---------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------|