add subheader to describe space in app.py

app.py

@@ -58,13 +58,12 @@ def segmentation(input_image):
     return (overlay, prediction_colormap)
 
 
-# i = gr.inputs.Image()
-# o = [gr.outputs.Image('pil'), gr.outputs.Image('pil')]
-st.header("Segmentacion de partes del cuerpo humano")
+st.header("Segmentación de partes del cuerpo humano")
+st.subheader("Demo de Spaces usando Streamlit y segmentacion de imagenes [Space original](https://huggingface.co/spaces/PKaushik/Human-Part-Segmentation)")
 
 st.markdown("Sube una imagen o selecciona un ejemplo para segmentar las distintas partes del cuerpo humano")
 
-file_imagen = st.file_uploader("Sube aqui tu imagen", type=["png", "jpg", "jpeg"])
+file_imagen = st.file_uploader("Sube aquí tu imagen", type=["png", "jpg", "jpeg"])
 
 examples = ["example_image_1.jpg", "example_image_2.jpg", "example_image_3.jpg"]
 
@@ -97,13 +96,10 @@ if file_imagen is not None:
         col1, col2 = st.columns(2)
 
         with col1:
-            st.subheader("Segmentacion: ")
+            st.subheader("Segmentación: ")
             st.image(output[0], width=425)
 
         with col2:
             st.subheader("Mask: ")
             st.image(output[1], width=425)
-
-# article = "<div style='text-align: center;'><a href='https://keras.io/examples/vision/deeplabv3_plus/' target='_blank'>Keras example by Praveen Kaushik</a></div>"
-# gr.Interface(segmentation, i, o, examples=examples, allow_flagging=False, analytics_enabled=False,
-#   title=title, description=description, article=article).launch(enable_queue=True)
+