Update from beta_columns to columns

examples.py

@@ -21,7 +21,7 @@ def app():
     st.markdown("*A couple*")
     st.image("static/img/examples/couple_0.jpeg", use_column_width=True)
 
-    col1, col2 = st.beta_columns(2)
+    col1, col2 = st.columns(2)
     col1.subheader("Una coppia con il tramonto sullo sfondo")
     col1.markdown("*A couple with the sunset in the background*")
     col1.image("static/img/examples/couple_1.jpeg", use_column_width=True)
@@ -34,7 +34,7 @@ def app():
     st.markdown("*A couple walking on the beach at sunset*")
     st.image("static/img/examples/couple_3.jpeg", use_column_width=True)
 
-    col1, col2 = st.beta_columns(2)
+    col1, col2 = st.columns(2)
     col1.subheader("Un bambino con un biberon")
     col1.markdown("*A baby with a bottle*")
     col1.image("static/img/examples/bambino_biberon.jpeg", use_column_width=True)
@@ -48,7 +48,7 @@ def app():
     st.markdown("### 2. Dresses")
     st.markdown("These examples were taken from the Unsplash dataset.")
 
-    col1, col2 = st.beta_columns(2)
+    col1, col2 = st.columns(2)
     col1.subheader("Un vestito primaverile")
     col1.markdown("*A dress for the spring*")
     col1.image("static/img/examples/vestito1.png", use_column_width=True)
@@ -60,7 +60,7 @@ def app():
     st.markdown("### 3. Chairs with different styles")
     st.markdown("These examples were taken from the CC dataset.")
 
-    col1, col2 = st.beta_columns(2)
+    col1, col2 = st.columns(2)
     col1.subheader("Una sedia semplice")
     col1.markdown("*A simple chair*")
     col1.image("static/img/examples/sedia_semplice.jpeg", use_column_width=True)
@@ -69,7 +69,7 @@ def app():
     col2.markdown("*A royal chair*")
     col2.image("static/img/examples/sedia_regale.jpeg", use_column_width=True)
 
-    col1, col2 = st.beta_columns(2)
+    col1, col2 = st.columns(2)
     col1.subheader("Una sedia moderna")
     col1.markdown("*A modern chair*")
     col1.image("static/img/examples/sedia_moderna.jpeg", use_column_width=True)
@@ -96,7 +96,6 @@ def app():
     st.markdown("*A shark / a horse*")
     st.image("static/img/examples/cavallo_squalo.png", use_column_width=True)
 
-
     st.markdown("## Image Classification")
     st.markdown(
         "We report this cool example provided by the "

image2text.py

@@ -34,7 +34,7 @@ def app():
 
     MAX_CAP = 4
 
-    col1, col2 = st.beta_columns([3, 1])
+    col1, col2 = st.columns([3, 1])
 
     with col2:
         captions_count = st.selectbox(
@@ -62,7 +62,10 @@ def app():
                     text_embeds.extend(text_encoder(c, model, tokenizer))
 
                 text_embeds = jnp.array(text_embeds)
-                image_raw = requests.get(image_url, stream=True,).raw
+                image_raw = requests.get(
+                    image_url,
+                    stream=True,
+                ).raw
 
                 image = Image.open(image_raw).convert("RGB")
                 transform = get_image_transform(model.config.vision_config.image_size)
@@ -75,7 +78,7 @@ def app():
 
                 chart_data = pd.Series(cos_similarities[0], index=captions)
 
-                col1, col2 = st.beta_columns(2)
+                col1, col2 = st.columns(2)
                 with col1:
                     st.bar_chart(chart_data)
 
@@ -84,6 +87,9 @@ def app():
         gc.collect()
 
     elif image_url:
-        image_raw = requests.get(image_url, stream=True,).raw
+        image_raw = requests.get(
+            image_url,
+            stream=True,
+        ).raw
         image = Image.open(image_raw).convert("RGB")
         st.image(image)

text2image.py

@@ -100,8 +100,8 @@ def get_image_transform(image_size):
 
 headers = {
     #'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
-    'User-Agent': 'Googlebot-Image/1.0',  # Pretend to be googlebot
-    'X-Forwarded-For': '64.18.15.200'
+    "User-Agent": "Googlebot-Image/1.0",  # Pretend to be googlebot
+    "X-Forwarded-For": "64.18.15.200",
 }
 
 
@@ -131,11 +131,11 @@ def app():
         "Un fiore giallo",
         "Un fiore blu",
         "Una coppia in montagna",
-        "Una coppia al tramonto"
+        "Una coppia al tramonto",
     ]
     sugg_idx = -1
 
-    col1, col2, col3, col4, col5, col6 = st.beta_columns([1, 1, 1.2, 1.2, 1.4, 1.4])
+    col1, col2, col3, col4, col5, col6 = st.columns([1, 1, 1.2, 1.2, 1.4, 1.4])
     with col1:
         if st.button(suggestions[0]):
             sugg_idx = 0
@@ -155,7 +155,7 @@ def app():
         if st.button(suggestions[5]):
             sugg_idx = 5
 
-    col1, col2 = st.beta_columns([3, 1])
+    col1, col2 = st.columns([3, 1])
     with col1:
         query = st.text_input("... or insert an Italian query text")
     with col2:
@@ -194,13 +194,17 @@ def app():
                 if dataset_name == "Unsplash":
                     st.image(image_url)
                 elif dataset_name == "CC":
-                    image_raw = requests.get(image_url, stream=True, allow_redirects=True, headers=headers).raw
+                    image_raw = requests.get(
+                        image_url, stream=True, allow_redirects=True, headers=headers
+                    ).raw
                     image = Image.open(image_raw).convert("RGB")
                     st.image(image, use_column_width=True)
                 break
             except (UnidentifiedImageError) as e:
                 if i == N - 1:
-                    st.text(f'Tried to show {N} different image URLS but none of them were reachabele.\nMaybe try a different query?')
+                    st.text(
+                        f"Tried to show {N} different image URLS but none of them were reachabele.\nMaybe try a different query?"
+                    )
 
         gc.collect()