Update app.py

app.py

@@ -52,7 +52,7 @@ reconstructed_model_CNN = keras.models.load_model("best weights CNN.h5",
  "recall_m":recall_m})
 
 
-def greet(sentence):
+def classify(sentence):
  sentenceWords = json.loads(sentence.replace("'",'"'))
  
  aux_vector = []
@@ -67,9 +67,9 @@ def greet(sentence):
  value = reconstructed_model_CNN.predict(MCTIinput_vector)[0]
  
  if value >= 0.5:
- return gr.Image(source = "elegivel.png")
+ return gr.Image("elegivel.png")
  else:
- return gr.Image(source = "inelegivel.png")
+ return gr.Image("inelegivel.png")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="image")
+iface = gr.Interface(fn=classify, inputs="text", outputs="image")
 iface.launch()