Update README.md

README.md

@@ -1,4 +1,13 @@
 ---
+widget:
+- text: "I have a problem with my car that needs to be resolved asap!!"
+  candidate_labels: "urgent, not urgent, phone, tablet, computer"
+  multi_class: true
+  example_title: "Car problem"
+- text: "Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app."
+  candidate_labels: "mobile, website, billing, account access"
+  multi_class: false
+  example_title: "Phone issue"
 datasets:
 - WueNLP/belebele-fleurs
 - a686d380/h-corpus-2023
@@ -320,12 +329,7 @@ model-index:
     - type: accuracy
       value: 85
 pipeline_tag: audio-text-to-text
-widget:
-  - src: sample1.flac
-    output:
-      text: "Hello my name is Julien"
-  - src: https://huggingface.co/username/model_repo/resolve/main/sample1.flac
-    example_title: Custom Speech Sample 1
+
 ---
 ### Model Sources
 You need to use separate code, audio, text, and natural language together with the model. Because the model will use separate word segmenters and vocabularies to achieve the best results when dealing with special cases.