Update README.md

README.md

@@ -156,7 +156,7 @@ model-index:
     source:
       name: Kaggle Evaluation Notebook
       url: >-
-        https://www.kaggle.com/code/ravindranlogasanjeev/evaluation-logasanjeev-emotion-analyzer-bert/notebook
+        https://www.kaggle.com/code/ravindranlogasanjeev/evaluation-logasanjeev-emotions-analyzer-bert/notebook
 ---
 
 # Emotion Analyzer Bert
@@ -176,7 +176,7 @@ Fine-tuned [BERT-base-uncased](https://huggingface.co/bert-base-uncased) on [GoE
 
 ## Try It Out
 
-For accurate predictions with optimized thresholds, use the [Gradio demo](https://logasanjeev-emotion-analyzer-bert-demo.hf.space). The demo now includes preprocessed text and the top 5 predicted emotions, in addition to thresholded predictions. Example predictions:
+For accurate predictions with optimized thresholds, use the [Gradio demo](https://logasanjeev-emotions-analyzer-bert-demo.hf.space). The demo now includes preprocessed text and the top 5 predicted emotions, in addition to thresholded predictions. Example predictions:
 
 - **Input**: "I’m thrilled to win this award! 😄"
   - **Output**: `excitement: 0.5836, joy: 0.5290`
@@ -263,7 +263,7 @@ import os
 from huggingface_hub import hf_hub_download
 from importlib import import_module
 
-repo_id = "logasanjeev/emotion-analyzer-bert"
+repo_id = "logasanjeev/emotions-analyzer-bert"
 local_file = hf_hub_download(repo_id=repo_id, filename="inference.py")
 
 current_dir = os.getcwd()
@@ -330,7 +330,7 @@ import os
 from huggingface_hub import hf_hub_download
 from importlib import import_module
 
-repo_id = "logasanjeev/emotion-analyzer-bert"
+repo_id = "logasanjeev/emotions-analyzer-bert"
 local_file = hf_hub_download(repo_id=repo_id, filename="onnx_inference.py")
 
 current_dir = os.getcwd()
@@ -407,7 +407,7 @@ def preprocess_text(text):
     text = text.lower()
     return text
 
-repo_id = "logasanjeev/emotion-analyzer-bert"
+repo_id = "logasanjeev/emotions-analyzer-bert"
 model = BertForSequenceClassification.from_pretrained(repo_id)
 tokenizer = BertTokenizer.from_pretrained(repo_id)