Update app.py

app.py

@@ -1,16 +1,34 @@
-import streamlit as st 
+import streamlit as st
 from transformers import pipeline
 
-st.title('Plataforma de Diálogos Participativos')
-
+# Define the sentiment analysis pipeline
 pipe = pipeline('sentiment-analysis')
-text = st.text_area('Añade el texto a evaluar')
-
-# Add a button for processing
-if st.button('Evaluar Sentimiento'):
-    if text:
-        out = pipe(text)
-        st.json(out)
-    else:
+
+st.title("Plataforma de Diálogos Participativos")
+
+# Split the page into two columns. The first column will occupy 1/4 of the page width and the second column 3/4.
+col1, col2 = st.beta_columns([1,3])
+
+with col1:
+    # This column will remain empty to act as a spacer
+
+    st.write("")
+
+with col2:
+    # Text area for input
+    text = st.text_area("Añade el texto a evaluar")
+
+    # Buttons for different analysis (for this example, I'm assuming just sentiment analysis, you can add more)
+    run_analysis = st.button("Evaluar Sentimiento")
+
+    # Create a container for output to occupy the lower half of the layout
+    output_container = st.beta_container()
+
+    if run_analysis and text:
+        with output_container:
+            out = pipe(text)
+            st.json(out)
+    elif run_analysis and not text:
         st.warning("Por favor, añade un texto para evaluar.")
 
+