From 7fd191edd9a505af312467d6f00fede29cff0da1 Mon Sep 17 00:00:00 2001
From: harshit katyal <hkatyal345@gmail.com>
Date: Sun, 12 Dec 2021 20:53:33 +0000
Subject: [PATCH] Update README.md

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 249c71b..0b9128a 100644
--- a/README.md
+++ b/README.md
@@ -30,7 +30,7 @@ import pandas as pd
 ~~~
 ~~~
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-model_name_or_path = "Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition"
+model_name_or_path = "harshit345/xlsr-wav2vec-speech-emotion-recognition"
 config = AutoConfig.from_pretrained(model_name_or_path)
 feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_name_or_path)
 sampling_rate = feature_extractor.sampling_rate
@@ -59,10 +59,10 @@ path = '/data/jtes_v1.1/wav/f01/ang/f01_ang_01.wav'
 outputs = predict(path, sampling_rate)
 ~~~
 ~~~
-[{'Emotion': 'anger', 'Score': '98.3%'},
- {'Emotion': 'disgust', 'Score': '0.0%'},
- {'Emotion': 'fear', 'Score': '0.4%'},
- {'Emotion': 'happiness', 'Score': '0.7%'},
+[{'Emotion': 'anger', 'Score': '78.3%'},
+ {'Emotion': 'disgust', 'Score': '11.7%'},
+ {'Emotion': 'fear', 'Score': '5.4%'},
+ {'Emotion': 'happiness', 'Score': '4.1%'},
  {'Emotion': 'sadness', 'Score': '0.5%'}]
  ~~~