MVPilgrim commited on
Commit
0726310
Β·
1 Parent(s): 01b3128
Files changed (3) hide show
  1. Dockerfile +6 -1
  2. README.md +2 -2
  3. app.py +0 -42
Dockerfile CHANGED
@@ -77,4 +77,9 @@ WORKDIR /app
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  #RUN --mount=type=cache,target=/data,mode=777 echo "### Mounting /data"
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  #CMD ["/app/startupDbgUI.sh"]
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  EXPOSE 8501
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- CMD /app/startup.sh; /usr/local/bin/streamlit run semsearch.py --server.port=8501 --server.address=0.0.0.0
 
 
 
 
 
 
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  #RUN --mount=type=cache,target=/data,mode=777 echo "### Mounting /data"
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  #CMD ["/app/startupDbgUI.sh"]
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  EXPOSE 8501
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+ #CMD /app/startup.sh; /usr/local/bin/streamlit run semsearch.py --server.port=8501 --server.address=0.0.0.0
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+ CMD streamlit run stream.py \
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+ --server.headless true \
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+ --server.enableCORS false \
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+ --server.enableXsrfProtection false \
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+ --server.fileWatcherType none
README.md CHANGED
@@ -3,8 +3,8 @@ title: SemanticSearchPOC
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  emoji: πŸ“‰
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  colorFrom: purple
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  colorTo: red
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- sdk: docker
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- #app_port: 8501
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  pinned: false
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  ---
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  emoji: πŸ“‰
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  colorFrom: purple
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  colorTo: red
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+ sdk: streamlit
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+ app_port: 8501
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  pinned: false
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  ---
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app.py DELETED
@@ -1,42 +0,0 @@
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- import streamlit as st
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- import pandas as pd
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- import numpy as np
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-
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- st.title('Uber pickups in NYC')
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-
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- DATE_COLUMN = 'date/time'
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- DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
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- 'streamlit-demo-data/uber-raw-data-sep14.csv.gz')
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-
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- @st.cache_data
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- def load_data(nrows):
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- data = pd.read_csv(DATA_URL, nrows=nrows)
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- lowercase = lambda x: str(x).lower()
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- data.rename(lowercase, axis='columns', inplace=True)
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- data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
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- return data
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-
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- data_load_state = st.text('Loading data...')
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- data = load_data(10000)
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- data_load_state.text("Done! (using st.cache)")
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-
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- if st.checkbox('Show raw data'):
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- st.subheader('Raw data')
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- st.write(data)
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-
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- st.subheader('Number of pickups by hour')
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- hist_values = np.histogram(data[DATE_COLUMN].dt.hour, bins=24, range=(0,24))[0]
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- st.bar_chart(hist_values)
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-
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- # Some number in the range 0-23
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- hour_to_filter = st.slider('hour', 0, 23, 17)
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- filtered_data = data[data[DATE_COLUMN].dt.hour == hour_to_filter]
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-
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- st.subheader('Map of all pickups at %s:00' % hour_to_filter)
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- st.map(filtered_data)
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-
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- uploaded_file = st.file_uploader("Choose a file")
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- if uploaded_file is not None:
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- st.write(uploaded_file.name)
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- bytes_data = uploaded_file.getvalue()
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- st.write(len(bytes_data), "bytes")