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Update app.py
Browse files
app.py
CHANGED
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@@ -756,49 +756,5 @@ page_names_to_funcs = {
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"Compare Model Outputs on Text Summarization": text_summarization
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}
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demo_name = st.sidebar.selectbox("
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page_names_to_funcs[demo_name]()
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# st.write("Recommended Most Popular Model for category ",top_cat, " is:",top_models[0])
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# if st.button("Show more"):
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# for i in range(1,len(top_models)):
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# st.write("Model#",str(i+1),top_models[i])
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# data = prompt
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# # print("before len data")
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# if len(data) != 0:
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# # print("after len data")
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# st.write("Recommended Task category: ",top_cats[0])
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# st.write("Recommended Most Popular Model for category ",top_cats[0], " is:",top_models[0])
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# if st.button("Show more"):
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# for i in range(1,len(top_models)):
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# st.write("Model#",str(i+1),top_models[i])
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# st.write("Upload your file: ")
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# uploaded_files = ""
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# uploaded_files = st.file_uploader("Choose a text file", accept_multiple_files=True)
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# if st.button("Select"):
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# global file_data
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# st.write("filename:", uploaded_files)
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# for uploaded_file in uploaded_files:
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# # print("here")
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# file_data = open(uploaded_file.name,encoding="utf8").read()
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# st.write("filename:", uploaded_file.name)
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# # st.write(file_data[:500])
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# # print("before summarizer")
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# print(file_data[:500])
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# analysis = summarizer(models = top_models, data = file_data[:500])
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# # print("between summarizer analysis")
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# z,x,c,v,b = best_model(analysis,file_data[:500])
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# st.write("Best model for Task: ",z)
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# st.write("\nBest model name: ",x)
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# st.write("\nBest model Score: ",c)
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# st.write("\nOriginal Data first 500 characters: ", v)
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# st.write("\nBest Model Result: ",b)
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# st.success(result)
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"Compare Model Outputs on Text Summarization": text_summarization
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}
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demo_name = st.sidebar.selectbox("Choose a demo of model selector or compare inference outputs:", page_names_to_funcs.keys())
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page_names_to_funcs[demo_name]()
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