Update app.py

app.py

@@ -7,8 +7,9 @@ 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)
+model_name_c = "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
+tokenizer_c = AutoTokenizer.from_pretrained(model_name)
+classifier = pipeline("zero-shot-classification", model=model_name_c,tokenizer=tokenizer_c)
 
 # Inicializa Modelo de Clasificación de Sentimientos
 model_name_sent = 'pysentimiento/robertuito-sentiment-analysis'
@@ -32,8 +33,7 @@ def classify_text(text):
     else:
         return "Neutro"
 
-def clasificador(input1, input2):
-#    classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli",tokenizer=tokenizer)
+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]
@@ -43,7 +43,7 @@ def clasificador(input1, input2):
     #analyzer = create_analyzer(task="sentiment", lang="es")
     #output2 = analyzer.predict(input1)
     output2=classify_text(input1)
-    return output2 #output1, output2
+    return output2 #, output2
 
 
 iface = gr.Interface(