Update app.py

app.py

@@ -4,24 +4,16 @@ from datasets import load_dataset
 from sentence_transformers import SentenceTransformer, InputExample, losses, util, evaluation
 import pandas as pd
 
-def Main(Operacion, Modelo, Texto1, Texto2, File):
+def Main(Modelo, File):
   
   error = ""
   modelResult  = ""
   
-  if File == None and Operacion == "Procesar Fichero":
-    error = "Debe seleccionar un fichero"
-  else:
-    try:
-      if Operacion == "Comparar Textos":
-        data_test = []
-        data_test.append(InputExample(guid= "", texts=[Texto1, Texto2], label=0))
-      else:
-        data_test = ConvertJsonToList(File.name)
-      
-      modelResult = TestModel('jfarray/Model_'+ Modelo +'_50_Epochs',data_test)
-    except Exception as e:
-      error = e
+  try:
+    data_test = ConvertJsonToList(File.name)
+    modelResult = TestModel('jfarray/Model_'+ Modelo +'_50_Epochs',data_test)
+  except Exception as e:
+    error = e
   
   return [error, modelResult]
     
@@ -83,15 +75,13 @@ Modelos = gr.inputs.Dropdown(["dccuchile_bert-base-spanish-wwm-uncased"
   , "paraphrase-multilingual-MiniLM-L12-v2"
   , "distiluse-base-multilingual-cased-v1"])
 Opciones = gr.inputs.Radio(["Comparar Textos", "Procesar Fichero"])
-Text1Input = gr.inputs.Textbox(lines=10, placeholder="Escriba el texto aqui ...")
-Text2Input = gr.inputs.Textbox(lines=10, placeholder="Escriba el otro texto aqui ...")
 FileInput = gr.inputs.File(file_count="single", type="file", label="Fichero Json")
 LabelOutput = gr.outputs.Label(num_top_classes=None, type="auto", label="")
 DataFrameOutput = gr.outputs.Dataframe(headers=["Hashed_id", "Nota", "Similitud Semántica"]
   , max_rows=20, max_cols=None, overflow_row_behaviour="paginate", type="auto", label="Resultado")
 
 iface = gr.Interface(fn=Main
-    , inputs=[ Opciones, Modelos, Text1Input ,Text2Input, FileInput]
+    , inputs=[Modelos, FileInput]
     , outputs=[LabelOutput, DataFrameOutput]
     , title = "Similitud Semántica de textos en Español de tamaño medio (200-250 palabras)"
 )