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Update app.py
Browse files
app.py
CHANGED
@@ -542,22 +542,7 @@ def main():
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with open('detailedResults.json','w') as fi:
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#data = json.load(fi)
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fi.write(json_data)
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# # fi.seek(0)
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# fi.write(json_data)
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# fi.truncate()
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# file_jso.truncate(0)
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# file_jso.write(json_data)
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# st.write('after',file_jso.read())
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# file_jso.close()
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# api.upload_file(
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# path_or_fileobj=json_data,
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# path_in_repo="ch.json",
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# repo_id="Seetha/IMA-pipeline-streamlit",
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# repo_type="dataset",
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# token="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",
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# )
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#dataset = load_dataset('json', data_files='smalljson.json')
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def convert_df(df):
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#IMPORTANT: Cache the conversion to prevent computation on every rerun
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@@ -571,84 +556,8 @@ def main():
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with st.container():
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#st.download_button(label="Download the detailed result table_csv",data=csv1,file_name='results.csv',mime='text/csv')
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# st.download_button(label="Download the result table_csv",data=csv2,file_name='final_data.csv',mime='text/csv')
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#st.download_button(label="Download the detailed result table",data=buffer,file_name="df_final.xlsx",mime="application/vnd.ms-excel")
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st.download_button(label="Download the result table",data=buffer,file_name="t2cg_outputs.xlsx",mime="application/vnd.ms-excel")
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# repo_dir = 'IMA-pipeline-streamlit'
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# repo = Repo(repo_dir)
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# file_list = [
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# '/app/ima-pipeline-streamlit/results.csv',
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# '/app/ima-pipeline-streamlit/final_data.csv'
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# ]
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# commit_message = 'Add the generated files to Github'
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# repo.index.add(file_list)
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# repo.index.commit(commit_message)
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# origin = repo.remote('origin')
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# origin.push()
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# # LINK TO THE CSS FILE
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# def tree_css(file_name):
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# with open('tree.css')as f:
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# st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html = True)
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# def div_css(file_name):
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# with open('div.css')as f:
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# st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html = True)
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# def side_css(file_name):
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# with open('side.css')as f:
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# st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html = True)
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# tree_css('tree.css')
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# div_css('div.css')
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# side_css('side.css')
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# STREAMLIT_STATIC_PATH = pathlib.Path(st.__path__[0]) / 'static'
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# CSS_PATH = (STREAMLIT_STATIC_PATH / "css")
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# if not CSS_PATH.is_dir():
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# CSS_PATH.mkdir()
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# # css_file = CSS_PATH / "tree.css"
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# # css_file1 = CSS_PATH / "div.css"
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# # css_file2 = CSS_PATH / "side.css"
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# css_file2 = CSS_PATH / "ch.json"
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# if not css_file2.exists():
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# shutil.copy("css/ch.json", css_file2)
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# shutil.copy("assets/css/tree.css", css_file)
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# shutil.copy("assets/css/div.css", css_file1)
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# shutil.copy("assets/css/side.css", css_file2)
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# HtmlFile = open("index.html", 'r', encoding='utf-8')
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# source_code = HtmlFile.read()
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# #print(source_code)
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# components.html(source_code)
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# # # Define your javascript
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# my_js = """
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# alert("Hello World");
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# """
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# Wrapt the javascript as html code
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#my_html = f"<script>{my_js}</script>"
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# with st.container():
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# # Execute your app
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# st.title("Visualization example")
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# # components.html(source_code)
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# #html(my_html)
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# #webbrowser.open('https://webpages.charlotte.edu/ltotapal/')
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# # embed streamlit docs in a streamlit app
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# #components.iframe("https://webpages.charlotte.edu/ltotapal/")
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# st.markdown('<a href="https://webpages.charlotte.edu/ltotapal/" target="_self">Text to Knowledge graph link</a>', unsafe_allow_html=True)
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if __name__ == '__main__':
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main()
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with open('detailedResults.json','w') as fi:
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#data = json.load(fi)
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fi.write(json_data)
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def convert_df(df):
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#IMPORTANT: Cache the conversion to prevent computation on every rerun
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with st.container():
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st.download_button(label="Download the result table",data=buffer,file_name="t2cg_outputs.xlsx",mime="application/vnd.ms-excel")
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if __name__ == '__main__':
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main()
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