Update app.py

app.py

@@ -5,6 +5,7 @@ from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassifica
 import transformers
 import gradio as gr
 from pysentimiento import create_analyzer
+import pandas as pd
 
 model_name = "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -14,7 +15,8 @@ def clasificador(input1, input2):
     sequence_to_classify = input1
     input2_list = input2.split(",") # Parse the input string as a list 
     candidate_labels= [item.strip() for item in input2_list]
-    output1 = classifier(sequence_to_classify, candidate_labels, multi_label=False)
+    output0 = classifier(sequence_to_classify, candidate_labels, multi_label=False)
+    output1=pd.DataFrame(output0)
     analyzer = create_analyzer(task="sentiment", lang="es")
     output2=analyzer.predict(input1)
     return output1, output2