log download 2

code/qa.py

@@ -3,33 +3,31 @@ from transformers import pipeline
 import pandas as pd
 import datetime
 import base64 
+import os
 
 @st.cache(allow_output_mutation = True)
 def load_model():
     question_answerer = pipeline('question-answering')
     return question_answerer
 
-# @st.cache(allow_output_mutation=True)
-# def Pageviews():
-#     return []
-
-# pageviews=Pageviews()
-# pageviews.append('dummy')
-# try:
-#     st.markdown('Page viewed = {} times.'.format(len(pageviews)))
-# except ValueError:
-#     st.markdown('Page viewed = {} times.'.format(1))
-
-
-def csv_downloader(data):
-    csvfile = data.to_csv()
-    b64 = base64.b64encode(csvfile.encode()).decode()
-    new_filename = "results/df_log_file.tsv"
-    st.markdown("#### Download File ###")
-    href = f'<a href="data:file/tsv;base64,{b64}" download="{new_filename}">Click Here!!</a>'
-    st.markdown(href,unsafe_allow_html=True)
-
-st.markdown('![Visitor count](https://shields-io-visitor-counter.herokuapp.com/badge?page=https://share.streamlit.io/https://huggingface.co/spaces/aakashgoel12/nlp1&label=VisitorsCount&labelColor=000000&logo=GitHub&logoColor=FFFFFF&color=1D70B8&style=for-the-badge)')
+# def csv_downloader(data):
+#     csvfile = data.to_csv()
+#     b64 = base64.b64encode(csvfile.encode()).decode()
+#     new_filename = "results/df_log_file.csv"
+#     st.markdown("#### Download File ###")
+#     href = f'<a href="data:file/tsv;base64,{b64}" download="{new_filename}">Click Here!!</a>'
+#     st.markdown(href,unsafe_allow_html=True)
+
+#function to convert any dataframe to a csv file
+@st.cache
+def csv_downloader(df):
+    # IMPORTANT: Cache the conversion to prevent computation on every rerun
+    res = df.to_csv().encode('utf-8')
+    st.download_button(
+    label="Download logs data as CSV separated by tab",
+    data=res,
+    file_name='df_log_file.csv',
+    mime='text/csv')
 
 def load_file():
     """Load text from file"""
@@ -41,6 +39,7 @@ def load_file():
         return raw_text
 
 
+st.markdown('![Visitor count](https://shields-io-visitor-counter.herokuapp.com/badge?page=https://share.streamlit.io/https://huggingface.co/spaces/aakashgoel12/nlp1&label=VisitorsCount&labelColor=000000&logo=GitHub&logoColor=FFFFFF&color=1D70B8&style=for-the-badge)')
 
 # Loading Model
 question_answerer =load_model()
@@ -71,7 +70,6 @@ if raw_text != None and raw_text != '':
 
         st.write("Answer: {}".format(answer["answer"]))
         st.write("Confidence score: {}".format(round(answer["score"],2)))
-        import os
         # st.write(os.getcwd())
         # st.write(os.listdir('.'))
         # st.write(os.listdir('../'))            
@@ -79,11 +77,11 @@ if raw_text != None and raw_text != '':
         # log_file_object.write(str(datetime.datetime.now())+'\t'+str(raw_text)+'\t'+str(answer["answer"])+'\t'+str(answer["score"]))
         # log_file_object.write('\n')
         # log_file_object.close()
-        output_path = "results/df_log_file.tsv"
+        output_path = "results/df_log_file.csv"
         try:
             res_df = pd.DataFrame({"TimeStamp":[str(datetime.datetime.now())],\
                 "Question":[question],\
-                "Input":[str(raw_text)],"Answer":[str(answer["answer"])],"Score":[str(answer["score"])]})
+                "Input":[str(raw_text)],"Answer":[str(answer["answer"])],"Score":[str(round(answer["score"],2))]})
             #st.write("PASS1")
         except:
             st.write("FAIL1")
@@ -92,6 +90,18 @@ if raw_text != None and raw_text != '':
             #st.write("PASS2")
         except:
             st.write("FAIL2")
-        st.dataframe(pd.read_csv("results/df_log_file.tsv",sep="\t").tail(10))
-        csv_downloader(pd.read_csv("results/df_log_file.tsv",sep="\t"))
+        st.dataframe(pd.read_csv("results/df_log_file.csv",sep="\t").tail(10))
+        csv_downloader(pd.read_csv("results/df_log_file.csv",sep="\t"))
+
+
+
+# @st.cache(allow_output_mutation=True)
+# def Pageviews():
+#     return []
 
+# pageviews=Pageviews()
+# pageviews.append('dummy')
+# try:
+#     st.markdown('Page viewed = {} times.'.format(len(pageviews)))
+# except ValueError:
+#     st.markdown('Page viewed = {} times.'.format(1))

results/about result.txt

@@ -0,0 +1 @@
+This directory will store log results.