Update app.py

app.py

@@ -4,6 +4,15 @@ 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"
 
@@ -19,22 +28,6 @@ label = gr.outputs.Label(num_top_classes=5)
 
 ################### Gradio Web APP ################################
 
-#title = "Audio Sentiment Classifier"
-
-description = """
-<p>
-<center>
-This application classifies the sentiment of the audio input provided by the user. 
-#</center>
-#</p>
-#<center>
-#<img src="https://huggingface.co/spaces/hackathon-pln-es/Audio-Sentiment-Classifier/tree/main/sentiment.jpg" alt="logo" width="750"/>
-#<img src="https://huggingface.co/spaces/hackathon-pln-es/Audio-Sentiment-Classifier/tree/main/sentiment.jpg" style="max-width: 100%; max-height: 10%; height: 250px; object-fit: fill">
-</center>
-"""
-
-
-
 
 #gr.Interface(
     #fn = classify_sentiment,
@@ -46,5 +39,5 @@ This application classifies the sentiment of the audio input provided by the use
     #theme="huggingface").launch()
 
 # generate and launch interface
-interface = gr.Interface(fn=classify_sentiment, inputs=input_audio, outputs=label, examples=[["basta_neutral.wav"], ["detras_disgust.wav"], ["mortal_sadness.wav"], ["respiracion_happiness.wav"], ["robo_fear.wav"]], article=info['article'], css=info['css'], theme='huggingface', title=info['title'], allow_flagging='never', description=info['description'])
+interface = gr.Interface(fn=classify_sentiment, inputs=input_audio, outputs=label, examples=[["basta_neutral.wav"], ["detras_disgust.wav"], ["mortal_sadness.wav"], ["respiracion_happiness.wav"], ["robo_fear.wav"]], article=article, css=info['css'], theme='huggingface', title=info['title'], allow_flagging='never', description=info['description'])
 interface.launch()