Update app.py

app.py

@@ -1,3 +1,4 @@
+"""
 from transformers import pipeline
 import gradio as gr
 import torch
@@ -15,4 +16,38 @@ iface = gr.Interface(fn=get_sentiment,
                      description='Obtenha o sentimento do texto de entrada:'
                     )
 
-iface.launch(inline=False)
+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',
+                     title='Sentiment Analysis',
+                     description='Obtenha o sentimento do texto de entrada:'
+                    )
+
+iface.launch(inline=False)