Update app.py

app.py

@@ -1,48 +1,12 @@
-"""
 from transformers import pipeline
 import gradio as gr
 import torch
 
-model = "neuralmind/bert-base-portuguese-cased"
-pipe = pipeline('sentiment-analysis', model=model)
+pipe = pipeline('sentiment-analysis')
 
 def get_sentiment(input_text):
   return pipe(input_text)
 
-iface = gr.Interface(fn=get_sentiment,
-                     inputs='text',
-                     outputs=['text'],
-                     title='Sentiment Analysis',
-                     description='Obtenha o sentimento do texto de entrada:'
-                    )
-
-iface.launch(inline=False)"""
-
-from transformers import pipeline
-import gradio as gr
-import torch
-
-model = "neuralmind/bert-base-portuguese-cased"
-pipe = pipeline('sentiment-analysis', model=model)
-
-def get_sentiment(input_text):
-  return pipe(input_text)
-
-results = pipe(input_text)
-
-# Extract the label and score
-label = results[0]['label']
-score = results[0]['score']
-
-threshold = 0.5
-
-if label == 'LABEL_1' and score > sentiment_threshold:  # Positive sentiment
-    return 'POSITIVO'
-else: label == 'LABEL_0' and score <= sentiment_threshold:  # Negative sentiment
-    return 'NEGATIVO'
-
-
-
 iface = gr.Interface(fn=get_sentiment,
                      inputs='text',
                      outputs='text',