Update app.py

app.py

@@ -5,10 +5,10 @@ import requests.exceptions
 from huggingface_hub import HfApi, hf_hub_download
 from huggingface_hub.repocard import metadata_load
 
-pipe = joblib.load("https://huggingface.co/spaces/scikit-learn/sentiment-analysis/tree/main/pipeline.pkl")
-inputs = [gr.Textbox(value = "The customer service was satisfactory.")]
-outputs = [gr.Label(label = "Sentiment")]
-title = "Sentiment Analysis"
+#pipe = joblib.load("https://huggingface.co/spaces/scikit-learn/sentiment-analysis/tree/main/pipeline.pkl")
+#inputs = [gr.Textbox(value = "The customer service was satisfactory.")]
+#outputs = [gr.Label(label = "Sentiment")]
+#title = "Sentiment Analysis"
 app = gr.Blocks()
 
 def load_agent(model_id_1, model_id_2):
@@ -77,8 +77,8 @@ with app:
 
     app_button.click(load_agent, inputs=[model1_input, model2_input], outputs=[model1_name, model1_score_output, model2_name, model2_score_output])
     
-    examples = gr.Examples(examples=[["scikit-learn/sentiment-analysis","scikit-learn/sentiment-analysis"],
-        ["scikit-learn/sentiment-analysis", "scikit-learn/sentiment-analysis"]],
+    examples = gr.Examples(examples=[["distilbert-base-uncased-finetuned-sst-2-english","distilbert-base-uncased-finetuned-sst-2-english"],
+        ["distilbert-base-uncased-finetuned-sst-2-english", "distilbert-base-uncased-finetuned-sst-2-english"]],
                            inputs=[model1_input, model2_input])