Spaces:
Sleeping
Sleeping
Add download buttons
Browse files
app.py
CHANGED
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@@ -447,6 +447,7 @@ if currFile is None and len(st.session_state.results) > 0 and len(st.session_sta
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try:
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st.session_state.resetResult = False
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currFileIndex = file_names.index(currFile)
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if len(st.session_state.results) > currFileIndex and len(st.session_state.summaries) > currFileIndex and len(st.session_state.results[currFileIndex]) > 0:
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st.header(f"Analysis of file {currFile}")
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graphNames = ["Data","Voice Categories","Speaker Percentage","Speakers with Categories","Treemap","Timeline","Time Spoken"]
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@@ -503,7 +504,25 @@ try:
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df4.name = "df4"
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st.session_state.summaries[currFileIndex]["df4"] = df4
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with dataTab:
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st.dataframe(currDF)
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with pie1:
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df3 = st.session_state.summaries[currFileIndex]["df3"]
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@@ -515,6 +534,24 @@ try:
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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fig1.add_trace(go.Pie(values=df3["values"],labels=df3["names"],sort=False))
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st.plotly_chart(fig1, use_container_width=True)
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with pie2:
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@@ -533,6 +570,24 @@ try:
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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fig2.add_trace(go.Pie(values=df4["values"],labels=df4["names"],sort=False))
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st.plotly_chart(fig2, use_container_width=True)
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with sunburst1:
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@@ -561,6 +616,24 @@ try:
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plot_bgcolor='rgba(0, 0, 0, 0)',
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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st.plotly_chart(fig3_1, use_container_width=True)
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with treemap1:
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@@ -589,6 +662,24 @@ try:
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plot_bgcolor='rgba(0, 0, 0, 0)',
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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st.plotly_chart(fig3, use_container_width=True)
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# generate plotting window
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@@ -619,7 +710,24 @@ try:
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plot_bgcolor='rgba(0, 0, 0, 0)',
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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-
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st.plotly_chart(fig_la, use_container_width=True)
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with bar1:
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@@ -643,6 +751,24 @@ try:
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'Percentage of Time: %{customdata[1]:.2f}%'
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])
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)
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st.plotly_chart(fig2_la, use_container_width=True)
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except ValueError:
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@@ -729,13 +855,3 @@ def convert_df(df):
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return df.to_csv(index=False).encode('utf-8')
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if currDF is not None:
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csv = convert_df(currDF)
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st.download_button(
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"Press to Download analysis data",
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csv,
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"file.csv",
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"text/csv",
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key='download-csv'
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)
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try:
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st.session_state.resetResult = False
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currFileIndex = file_names.index(currFile)
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+
currPlainName = currFile.split('.')[0]
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if len(st.session_state.results) > currFileIndex and len(st.session_state.summaries) > currFileIndex and len(st.session_state.results[currFileIndex]) > 0:
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st.header(f"Analysis of file {currFile}")
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graphNames = ["Data","Voice Categories","Speaker Percentage","Speakers with Categories","Treemap","Timeline","Time Spoken"]
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df4.name = "df4"
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st.session_state.summaries[currFileIndex]["df4"] = df4
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# Save files for potential download
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fig1.write_image("ascn_pie1.pdf")
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fig2.write_image("ascn_pie2.pdf")
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fig3_1.write_image("ascn_sunburst.pdf")
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fig3.write_image("ascn_treemap.pdf")
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fig_la.write_image("ascn_timeline.pdf")
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fig2_la.write_image("ascn_bar.pdf")
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with dataTab:
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csv = convert_df(currDF)
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st.download_button(
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"Press to Download analysis data",
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csv,
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"sonogram-analysis.csv",
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"text/csv",
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key='download-csv'
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)
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st.dataframe(currDF)
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with pie1:
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df3 = st.session_state.summaries[currFileIndex]["df3"]
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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fig1.add_trace(go.Pie(values=df3["values"],labels=df3["names"],sort=False))
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col1, col2 = st.columns(2)
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fig1.write_image("ascn_pie1.pdf")
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fig1.write_image("ascn_pie1.svg")
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with open('ascn_pie1.pdf') as f:
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col1.dowload_botton(
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"Save As PDF",
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f,
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'sonogram-voice-category-'+currPlainName+'.pdf',
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key='download-pdf1'
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)
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with open('ascn_pie1.svg') as f:
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col2.dowload_botton(
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"Save As SVG",
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f,
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'sonogram-voice-category-'+currPlainName+'.svg',
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key='download-svg1'
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)
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st.plotly_chart(fig1, use_container_width=True)
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with pie2:
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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fig2.add_trace(go.Pie(values=df4["values"],labels=df4["names"],sort=False))
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col1, col2 = st.columns(2)
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fig2.write_image("ascn_pie2.pdf")
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fig2.write_image("ascn_pie2.svg")
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with open('ascn_pie2.pdf') as f:
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col1.dowload_botton(
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"Save As PDF",
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f,
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'sonogram-speaker-percent-'+currPlainName+'.pdf',
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key='download-pdf2'
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)
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with open('ascn_pie2.svg') as f:
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col2.dowload_botton(
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"Save As SVG",
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f,
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'sonogram-speaker-percent-'+currPlainName+'.svg',
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key='download-svg2'
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)
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st.plotly_chart(fig2, use_container_width=True)
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with sunburst1:
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plot_bgcolor='rgba(0, 0, 0, 0)',
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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col1, col2 = st.columns(2)
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fig3_1.write_image("ascn_sunburst.pdf")
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fig3_1.write_image("ascn_sunburst.svg")
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with open('ascn_sunburst.pdf') as f:
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col1.dowload_botton(
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"Save As PDF",
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f,
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'sonogram-speaker-categories-'+currPlainName+'.pdf',
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key='download-pdf3'
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)
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with open('ascn_sunburst.svg') as f:
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col2.dowload_botton(
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"Save As SVG",
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f,
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'sonogram-speaker-categories-'+currPlainName+'.svg',
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key='download-svg3'
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)
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st.plotly_chart(fig3_1, use_container_width=True)
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with treemap1:
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plot_bgcolor='rgba(0, 0, 0, 0)',
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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col1, col2 = st.columns(2)
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fig3.write_image("ascn_treemap.pdf")
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fig3.write_image("ascn_treemap.svg")
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with open('ascn_treemap.pdf') as f:
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col1.dowload_botton(
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"Save As PDF",
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f,
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'sonogram-treemap-'+currPlainName+'.pdf',
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key='download-pdf4'
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)
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with open('ascn_treemap.svg') as f:
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col2.dowload_botton(
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"Save As SVG",
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f,
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'sonogram-treemap-'+currPlainName+'.svg',
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key='download-svg4'
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)
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st.plotly_chart(fig3, use_container_width=True)
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# generate plotting window
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plot_bgcolor='rgba(0, 0, 0, 0)',
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paper_bgcolor='rgba(0, 0, 0, 0)',
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)
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col1, col2 = st.columns(2)
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fig_la.write_image("ascn_timeline.pdf")
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fig_la.write_image("ascn_timeline.svg")
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with open('ascn_timeline.pdf') as f:
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col1.dowload_botton(
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"Save As PDF",
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f,
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'sonogram-timeline-'+currPlainName+'.pdf',
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key='download-pdf5'
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)
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with open('ascn_timeline.svg') as f:
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col2.dowload_botton(
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"Save As SVG",
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f,
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'sonogram-timeline-'+currPlainName+'.svg',
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key='download-svg5'
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)
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st.plotly_chart(fig_la, use_container_width=True)
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with bar1:
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'Percentage of Time: %{customdata[1]:.2f}%'
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])
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)
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col1, col2 = st.columns(2)
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fig_la.write_image("ascn_bar.pdf")
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fig_la.write_image("ascn_bar.svg")
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with open('ascn_bar.pdf') as f:
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col1.dowload_botton(
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"Save As PDF",
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f,
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'sonogram-speaker-time-'+currPlainName+'.pdf',
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key='download-pdf6'
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)
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with open('ascn_bar.svg') as f:
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col2.dowload_botton(
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"Save As SVG",
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f,
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'sonogram-speaker-time-'+currPlainName+'.svg',
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key='download-svg6'
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)
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st.plotly_chart(fig2_la, use_container_width=True)
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except ValueError:
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return df.to_csv(index=False).encode('utf-8')
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