Update app to have the single trained adapter

app.py

@@ -1,10 +1,7 @@
 import gradio as gr
 import re
-from transformers import AutoTokenizer
+from transformers import AutoTokenizer,TextClassificationPipeline
 from adapters import AutoAdapterModel
-from transformers import TextClassificationPipeline
-import gradio as gr
-from transformers import pipeline
 
 def preprocess(issue):
     issue = re.sub(r'```.*?```', ' ', issue, flags=re.DOTALL)
@@ -18,7 +15,7 @@ def preprocess(issue):
 def text_classification(text):
     tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-base", max_length=256, truncation=True, padding="max_length")
     model = AutoAdapterModel.from_pretrained("FacebookAI/roberta-base")
-    adapter_react = model.load_adapter("buelfhood/irc-facebook-react", source = "hf",set_active=True)
+    adapter_react = model.load_adapter("buelfhood/irc-single-adapter", source = "hf",set_active=True)
     classifier = TextClassificationPipeline(model=model, tokenizer=tokenizer, max_length=256, padding="max_length", truncation=True,top_k=None)
     preprocessed_issue = preprocess (text)
     out = classifier(preprocessed_issue)[0]
@@ -31,9 +28,7 @@ io = gr.Interface(fn=text_classification,
                          inputs= gr.Textbox(lines=20, label="Text", placeholder="Enter title here..."),
                          outputs="label",
                          title="Issue Report Classification",
-                         description="Enter a text of an issue and see whether it is a bug, enhancement or question?",
+                         description="Enter a text of an issue and see whether it is a bug, feature or question?",
                          examples=examples)
 
-io.launch(share=True)
-
-
+io.launch(share=True)