Update app.py

app.py

@@ -4,17 +4,8 @@ from transformers import pipeline
 
 info = get_article()
 
-#article='''
-# Team members
- #- Drishti Sharma [(DrishtiSharma)](https://huggingface.co/DrishtiSharma)
- #- Manuel Fernandez Moya  [(Mnauel)](https://huggingface.co/Mnauel)
- #- Antonio Alberto Soto Hernández [(Asotoh)](https://huggingface.co/Asotoh)
- #-
- #-
-#'''
-
-#Model_1 = "hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD"
-#Model_2 ="hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd"
+
+
 
 #model_name2id = {"Model A": "hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD", "Model B": "hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd"}
 
@@ -28,11 +19,7 @@ label = gr.outputs.Label(num_top_classes=5)
 
 ################### Gradio Web APP ################################
 
-description = """ Gradio demo for Sentiment Classification of Spanish audios using Wav2Vec2. 
-
-We trained two models : [Model 1](https://huggingface.co/hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD)
-
-[Model 2](https://huggingface.co/hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd)
+description = """ Gradio demo for Sentiment Classification of Spanish audios using Wav2Vec2. This app can be powered by either of these two trained models :1. [Model 1](https://huggingface.co/hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD) 2. [Model 2](https://huggingface.co/hackathon-pln-es/wav2vec2-base-finetuned-sentiment-mesd)
 """
 #gr.Interface(
     #fn = classify_sentiment,