Update app.py

app.py

@@ -115,6 +115,7 @@ def clasifica_conv_americana(example):
   return {i["label"]: float(i["score"]) for i in results}
   
 def similitud(example,example2):
+    model = SentenceTransformer("hackathon-pln-es/jurisbert-tsdae-sentence-transformer")
     #Compute embedding for both lists
     embeddings1 = model.encode(sentences1, convert_to_tensor=True)
     embeddings2 = model.encode(sentences2, convert_to_tensor=True)
@@ -147,6 +148,6 @@ output_txt= gr.outputs.Textbox(label="Porcentaje de similitud:")
 
 #iface = gr.Interface(fn=process, inputs=input_sen, outputs=["highlight","label","label"], examples=examples, title=title, description = description)
 
-iface = gr.Interface(fn=process, inputs=[input_sen, input_sen2], outputs=["highlight",output_lbl2,output_lbl2,output_txt], examples=examples, title=title, description = description)
+iface = gr.Interface(fn=process, inputs=[input_sen, input_sen2], outputs=["highlight",output_lbl2,output_lbl2,output_txt], examples=[examples,examples2], title=title, description = description)
 
 iface.launch()