Spaces:
Sleeping
Sleeping
File size: 4,953 Bytes
2bab301 a1fcc21 9473f6e a1fcc21 90f3345 a1fcc21 54a9b1e 8247e44 a1fcc21 54a9b1e 90f3345 54a9b1e a1fcc21 2bab301 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 |
import streamlit as st
import pandas as pd
import numpy as np
import yfinance as yf
import altair as alt
import plotly.figure_factory as ff
import pydeck as pdk
from vega_datasets import data as vds
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from streamlit_image_comparison import image_comparison
def on_input_change():
user_input = st.session_state.user_input
st.session_state.past.append(user_input)
st.session_state.generated.append(
{"data": "The messages from Bot\nWith new line", "type": "normal"}
)
def on_btn_click():
del st.session_state.past[:]
del st.session_state.generated[:]
def main():
st.write("Hello, world!")
st.header(" Al Generated this app - spotify recommendations")
st.subheader(" this application contains the auto generated layout")
(
col1,
col2,
) = st.columns(2)
with col1:
st.write("Hello, world!")
with col2:
option = st.selectbox(
" gender / male / female", [" gender ", " male ", " female"]
)
(
col1,
col2,
) = st.columns(2)
with col1:
value = st.slider(
" max predictions", min_value=0, max_value=100, value=50, key=39
)
with col2:
value = st.slider(
" num categories", min_value=0, max_value=100, value=50, key=81
)
(
col1,
col2,
) = st.columns(2)
with col1:
option = st.radio("Choose an option:", ["Option 1", "Option 2", "Option 3"])
with col2:
if st.checkbox("Check me"):
st.write("Checkbox checked!")
if st.button(" generate recommendations"):
st.write("Button clicked!")
(
col1,
col2,
) = st.columns(2)
with col1:
st.table(
{
"Country": ["USA", "Canada", "UK", "Australia"],
"Population (millions)": [331, 38, 66, 25],
"GDP (trillion USD)": [22.675, 1.843, 2.855, 1.488],
}
)
with col2:
st.line_chart(
pd.DataFrame(
{
"Apple": yf.download("AAPL", start="2023-01-01", end="2023-07-31")[
"Adj Close"
],
"Google": yf.download(
"GOOGL", start="2023-01-01", end="2023-07-31"
)["Adj Close"],
"Microsoft": yf.download(
"MSFT", start="2023-01-01", end="2023-07-31"
)["Adj Close"],
}
)
)
(
col1,
col2,
) = st.columns(2)
with col1:
data = pd.DataFrame(
{"X": [1, 2, 3, 4, 5], "Y1": [10, 16, 8, 14, 12], "Y2": [5, 8, 3, 6, 7]}
)
st.area_chart(data)
with col2:
st.bar_chart(
pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
)
(
col1,
col2,
) = st.columns(2)
with col1:
st.write("Hello, world!")
with col2:
df = px.data.gapminder().query("year == 2007").query("continent == 'Americas'")
fig = px.pie(
df,
values="pop",
names="country",
title="Population of American continent",
hover_data=["lifeExp"],
labels={"lifeExp": "life expectancy"},
)
fig.update_traces(textposition="inside", textinfo="percent+label")
st.plotly_chart(fig)
source = vds.cars()
chart = {
"mark": "point",
"encoding": {
"x": {"field": "Horsepower", "type": "quantitative"},
"y": {"field": "Miles_per_Gallon", "type": "quantitative"},
"color": {"field": "Origin", "type": "nominal"},
"shape": {"field": "Origin", "type": "nominal"},
},
}
tab1, tab2 = st.tabs(["Streamlit theme (default)", "Vega-Lite native theme"])
with tab1:
st.vega_lite_chart(source, chart, theme="streamlit", use_container_width=True)
with tab2:
st.vega_lite_chart(source, chart, theme=None, use_container_width=True)
(
col1,
col2,
) = st.columns(2)
with col1:
st.video("https://www.youtube.com/watch?v=50hVvC7gMR8&t=5s", format="video/mp4")
with col2:
st.image(
"https://assets-global.website-files.com/59e16042ec229e00016d3a66/6441d5f76d21e1e4dee9ffa2_Gen%20AI%20blog_Blog%20hero.png",
caption="Image Caption",
)
st.plotly_chart(
ff.create_distplot(
[np.random.randn(200) - 2, np.random.randn(200), np.random.randn(200) + 2],
["Negative Shift", "Normal", "Positive Shift"],
bin_size=[0.1, 0.25, 0.5],
),
use_container_width=True,
)
st.header(" auto generated by sketch2streamiit")
if __name__ == "__main__":
main()
|