Prerelease 1.56.0 - Embedded app sources

python/api-examples-source/charts.video3/requirements.txt

@@ -1,2 +1,2 @@
-streamlit>=1.55.0
+streamlit>=1.56.0
 webvtt-py

python/api-examples-source/data.audio_column.py

@@ -0,0 +1,48 @@
+import base64
+import pandas as pd
+import streamlit as st
+
+
+@st.cache_data
+def load_audio_as_base64():
+    with open("python/api-examples-source/cat-purr.mp3", "rb") as audio_file:
+        audio_bytes = audio_file.read()
+    return base64.b64encode(audio_bytes).decode("utf-8")
+
+
+data_df = pd.DataFrame(
+    {
+        "source": [
+            "Small and fluffy house panther",
+            "Wikimedia, Performed by Muriel Nguyen Xuan and Stéphane Magnenat",
+        ],
+        "audio": [
+            f"data:audio/mp3;base64,{load_audio_as_base64()}",
+            "https://upload.wikimedia.org/wikipedia/commons/c/c4/Muriel-Nguyen-Xuan-Chopin-valse-opus64-1.ogg",
+        ],
+    }
+)
+
+st.dataframe(
+    data_df,
+    column_config={
+        "audio": st.column_config.AudioColumn("Preview Audio"),
+    },
+)
+
+st.caption(
+    """
+    ##### Audio credit:
+
+    Performer: _Muriel Nguyen Xuan_ and _Stéphane Magnenat_
+
+    Composer: Frédéric Chopin
+
+    License: Creative Commons Attribution-Share Alike 4.0 International, 3.0 Unported, 2.5 Generic, 2.0 Generic and 1.0 Generic license.
+    https://creativecommons.org/licenses/by-sa/4.0/
+
+    URL:
+    https://upload.wikimedia.org/wikipedia/commons/c/c4/Muriel-Nguyen-Xuan-Chopin-valse-opus64-1.ogg
+
+"""
+)

python/api-examples-source/data.dataframe_programmatic_selections.py

@@ -0,0 +1,23 @@
+import pandas as pd
+import streamlit as st
+from numpy.random import default_rng as rng
+
+df = pd.DataFrame(
+    rng(0).standard_normal((12, 5)), columns=["a", "b", "c", "d", "e"]
+)
+
+if st.button("Select the first row"):
+    st.session_state.data = {"selection": {"rows": [0]}}
+if st.button("Select column a"):
+    st.session_state.data = {"selection": {"columns": ["a"]}}
+if st.button("Select the first cell of column a"):
+    st.session_state.data = {"selection": {"cells": [[0, "a"]]}}
+
+event = st.dataframe(
+    df,
+    key="data",
+    on_select="rerun",
+    selection_mode=["single-cell", "single-row", "single-column"],
+)
+
+event.selection

python/api-examples-source/data.table_auto_header.py

@@ -0,0 +1,13 @@
+import streamlit as st
+
+st.table(
+    {
+        ":material/folder: Project": "**Streamlit** - The fastest way to build data apps",
+        ":material/code: Repository": "[github.com/streamlit/streamlit](https://github.com/streamlit/streamlit)",
+        ":material/new_releases: Version": ":gray-badge[1.45.0]",
+        ":material/license: License": ":green-badge[Apache 2.0]",
+        ":material/group: Maintainers": ":blue-badge[Core Team] :violet-badge[Community]",
+    },
+    border="horizontal",
+    width="content",
+)

python/api-examples-source/data.table_hide_header_and_index.py

@@ -0,0 +1,5 @@
+import pandas as pd
+import streamlit as st
+
+df = pd.DataFrame({"Name": ["Alice", "Bob"], "Age": [25, 30]})
+st.table(df, hide_index=True, hide_header=True)

python/api-examples-source/data.video_column.py

@@ -0,0 +1,22 @@
+import pandas as pd
+import streamlit as st
+
+data_df = pd.DataFrame(
+    {
+        "description": [
+            "Get started with Streamlit",
+            "Get started with Community Cloud",
+        ],
+        "video": [
+            "https://s3-us-west-2.amazonaws.com/assets.streamlit.io/videos/hero-video.mp4",
+            "https://s3-us-west-2.amazonaws.com/assets.streamlit.io/videos/streamlit_sharing_silent.mp4",
+        ],
+    }
+)
+
+st.dataframe(
+    data_df,
+    column_config={
+        "video": st.column_config.VideoColumn("Preview Video"),
+    },
+)

python/api-examples-source/guides/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/hello/requirements.txt

@@ -2,4 +2,4 @@ pandas==1.5.3
 numpy==1.23.5
 altair==4.2.0
 pydeck==0.8.0
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/mpa-hello/requirements.txt

@@ -3,4 +3,4 @@ numpy==1.23.5
 altair==4.2.0
 pydeck==0.8.0
 opencv-python-headless==4.8.1.78
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/navigation.example_1/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/navigation.example_2/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/navigation.example_top/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/requirements.txt

@@ -11,4 +11,4 @@ pydeck
 Faker
 openai
 vega_datasets
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/st-experimental-connection/1.22/st-experimental-connection/requirements.txt

@@ -1,4 +1,4 @@
-streamlit>=1.55.0
+streamlit>=1.56.0
 toml
 sqlalchemy==1.4
 duckdb

python/api-examples-source/theming/requirements.txt

@@ -1,4 +1,4 @@
-streamlit>=1.55.0
+streamlit>=1.56.0
 vega_datasets
 altair==4.2.0
 plotly==5.13.0

python/api-examples-source/tutorials/custom-navigation/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/tutorials/elements/charts/requirements.txt

@@ -1,2 +1,2 @@
 vega_datasets
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/tutorials/elements/dataframes/requirements.txt

@@ -1,2 +1,2 @@
 Faker
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/tutorials/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/utilities.page_link_query_params/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/utilities.switch_page/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/utilities.switch_page_query_params/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/api-examples-source/widget.menu_button.py

@@ -0,0 +1,9 @@
+import streamlit as st
+
+action = st.menu_button("Export", options=["CSV", "JSON", "PDF"])
+if action == "CSV":
+    st.write("Exporting as CSV...")
+elif action == "JSON":
+    st.write("Exporting as JSON...")
+elif action == "PDF":
+    st.write("Exporting as PDF...")

python/api-examples-source/widget.page_link/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-color-backgroundColor/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-color-baseRadius/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-color-borderColor/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-color-primaryColor/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-color-textColor/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-overview-anthropic-light-inspried/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/concept-source/theming-overview-spotify-inspired/requirements.txt

@@ -1 +1 @@
-streamlit>=1.55.0
+streamlit>=1.56.0

python/tutorial-source/llm-18-lines-of-code/requirements.txt

@@ -1,2 +1,2 @@
-streamlit>=1.55.0
+streamlit>=1.56.0
 langchain-openai