Jd Extraction

app.py

@@ -311,8 +311,16 @@ def SkillMatcher():
   cursor_obj.close()
   conn.close()  
        
-
-        
+def LatestExtractedSkills():
+   dbQuery = "select * from LatestSkills"
+   conn = psycopg2.connect(**db_params)   
+   df = pd.read_sql_query(dbQuery, conn)
+   st.dataframe(df,use_container_width = True, hide_index = True)
+def Last20JD():
+   dbQuery = "select * from TopJD"
+   conn = psycopg2.connect(**db_params)   
+   df = pd.read_sql_query(dbQuery, conn)
+   st.dataframe(df,use_container_width = True, hide_index = True)         
 
 def uploadFile(text,filePath):
     conn = psycopg2.connect(**db_params)
@@ -326,49 +334,55 @@ def uploadFile(text,filePath):
     conn.commit()
     print("File Uploaded...")
 
-def AppFlow(text,fName):
+def AppFlow(text,fName,query, IsUpload):
+   profile=""
    with st.spinner('Processing...'):
-
-        uploadFile(str(text),fName)
-        SkillExtract()
-        profile = SkillMatcher()
-        details = latestSkillDetails(1).split('@')
+        if(query.upper() == 'SKILLS'):
+            LatestExtractedSkills()
+            st.success('Skills extracted from recent JDs')
+        elif(query.upper() == 'JD'):            
+            Last20JD()
+            st.success('Recently uploaded JDs')
+        else:     
+            if(IsUpload and query == ''):  
+                uploadFile(str(text),fName)
+                SkillExtract()
+                profile = SkillMatcher()
+                details = latestSkillDetails(1).split('@')
                 
-        st.subheader('Required Skills : ', divider='rainbow')
-        st.write(details[0])
-        st.subheader('Required Soft Skills : ', divider='rainbow')
-        st.write(details[1])
-        st.subheader('Good to have Skills : ', divider='rainbow')
-        st.write(details[2] +  " " + details[3])
-        st.success('Profile Tagging - ' + profile)
+                st.subheader('Required Skills : ', divider='rainbow')
+                st.write(details[0])
+                st.subheader('Required Soft Skills : ', divider='rainbow')
+                st.write(details[1])
+                st.subheader('Good to have Skills : ', divider='rainbow')
+                st.write(details[2] +  " " + details[3])
 
-def submit (uploaded_resume, query):
+                st.success('Profile Tagging - ' + profile)
 
+def submit (uploaded_resume, query):
+    text = ""
+    fName = ""
     if uploaded_resume:
         
         fName = uploaded_resume.name
         if fName.endswith("pdf"):
             pdf_reader = PdfReader(uploaded_resume)
-            text = ""
+            
             for page in pdf_reader.pages:
                 text += page.extract_text()
             #text = extract_text(filePath)
        
         elif fName.endswith("doc") or fName.endswith("docx"):
-             text = StringIO(uploaded_resume.getvalue().decode("utf-8"))
-             text = text.read()
+            text = StringIO(uploaded_resume.getvalue().decode("utf-8"))
+            text = text.read()
     
         else:
             text = uploaded_resume.getvalue().decode()
          #Pdf Text Extraction
-        
-               
-        
-        if query:
-            AppFlow(text,fName) 
-            
-        else:
-            AppFlow(text,fName)
+    
+        AppFlow(text,fName,query, True)
+    else:
+        AppFlow(text,fName,query, False)