updatev2

apps/demo.py

@@ -6,100 +6,52 @@ from annotated_text import annotated_text, annotation
 from src.utils import load_skill_extractor, create_dfs
 from src.utils import clean_text, predict_cat, load_model,get_match
 from src.file_uploader import extract_text_from_file,get_file_type
+from src. gauge_components import gauge
 
 
 model = load_model()
 skill_extractor = load_skill_extractor()
 
-
-
-
 def app():
-    st.title("Get match percentage of your skills")
+    if 'input_text' not in st.session_state:
+        st.session_state['input_text'] = '' 
     
+    st.markdown(f"""<h1 
+                style= "text-align:-webkit-center;
+                font-size: xx-large;
+                font-weight: bold; 
+                font-family:sans-serif;">
+                Compare resume skills to the top skills of industry
+                </h1>""", unsafe_allow_html=True)
+     
+    st.markdown("""<h1 
+                style= "text-align:-webkit-center;
+                font: caption;
+                font-family:sans-serif;">
+        Match your resume skills to top industry skills, 
+        identify skill gaps, and prioritize development
+        </h1>""",unsafe_allow_html=True)
     
-    #file upload widget
-    uploaded_file = st.file_uploader("Choose a file",type =['pdf','docx'])
-    text = ''
-    if uploaded_file is not None:
-        text = extract_text_from_file(uploaded_file)
-        
-        
-    st.title("Uploaded resume ")
-    with st.form(key="text_val"):
-        if text is not None:
-            default_text = text
-        input_text = st.text_area('', value=default_text, height=200)
-        submit_button = st.form_submit_button(label="Submit")
     
-    cls_text = clean_text(input_text)
-    # st.write(cls_text)
     
-    col1, col2,= st.columns(2)
-    gaugeData = [
-    {
-        "value": 0,
-        "name": 'Match %',
-        "detail": {
-        "valueAnimation": True,
-        "offsetCenter": ['0%', '0%']
-        }
-    }]
-    option = {
-    "series": [
-        {
-        "type": "gauge",
-        "startAngle": 90,
-        "endAngle": -270,
-        "pointer": {
-            "show": False,
-        },
-        "progress": {
-            "show": True,
-            "overlap": False,
-            "roundCap":False,
-            "clip": False,
-            "backgroundColor": '#11D1F9',
-            "itemStyle": {
-            "color": '#E96605', 
-            "borderWidth": 0,
-            "borderColor": "light blue"
-            }
-        },
-        "axisLine": {
-            "lineStyle": {
-            "width": 40
-            }
-        },
-        "splitLine": {
-            "show": False,
-            "distance": 0,
-            "length": 20
-        },
-        "axisTick": {
-            "show": False
-        },
-        "axisLabel": {
-            "show": False,
-            "distance": 50
-        },
-        "data": gaugeData,
-        "detail": {
-            "valueAnimation": True,
-            "offsetCenter": ['0%', '0%'],
-            "width": 40,
-            "height": 14,
-            "fontSize": 24,
-            "color": 'inherit',
-            "borderColor": 'inherit',
-            "borderRadius": 0,
-            "borderWidth": 0,
-            "formatter": '{value}%'
-        },
-        }
-    ]
-    }
-
+    
+      
+    uploaded_file = st.file_uploader("Choose a file",type =['pdf','docx'],label_visibility = "collapsed")  
+    if uploaded_file is not None:
+            st.session_state['input_text'] = extract_text_from_file(uploaded_file)
+    else:
+            st.session_state['input_text'] = '' 
+              
+      
+    # st.title("Uploaded resume ")
+    # with st.form(key="text_val"):
+        # if text is not None:
+        #     default_text = text
+        # # input_text = st.text_area('', value=default_text, height=200)
+        # submit_button = st.form_submit_button(label="Submit")
+    
+        
+    cls_text = clean_text(st.session_state['input_text'])
     prob,job_cat = predict_cat(model, cls_text)
     annotations = skill_extractor.annotate(cls_text,tresh=1)
     text = annotations['text']
@@ -107,9 +59,10 @@ def app():
     df = create_dfs(annotations)
     match = get_match(job_cat,df)
 
-
+    col1, col2,= st.columns(2)
+    gaugeData,option = gauge(value=0)
     with st.form(key='result'):
-        if submit_button:
+        if st.session_state['input_text']:
             gaugeData[0]['value']=match
             with col1:
                 st.markdown(f"""<h1 style= "text-align: -webkit-center;font-family: sans-serif;">Job Category</h1>""", unsafe_allow_html=True)
@@ -144,6 +97,10 @@ def app():
                 # st.markdown('-----------')
                 df = create_dfs(annotations)
                 st.markdown(f"""<h1 style= "text-align: -webkit-center;font-family: sans-serif;">Extracted Skill</h1>""",unsafe_allow_html=True)
-                st.write(", \n".join(df))    
+                st.write(", \n".join(df))
+        
     
-      
+        
+    
+    #file upload widget
+    

src/file_uploader.py

@@ -35,7 +35,7 @@ def extract_text_from_file(uploaded_file):
         return doc2text(io.BytesIO(uploaded_file.read()))
     else:
         st.warning("plese upload the correct file type")
-        return None
+        return ""
 
 def main():
     uploaded_file = st.file_uploader("Choose a file", type=['pdf', 'docx', 'doc'])

src/gauge_components.py

@@ -0,0 +1,64 @@
+def gauge(value):
+    gaugeData = [{
+        "value": 0,
+        "name": 'Match %',
+        "detail": {
+        "valueAnimation": True,
+        "offsetCenter": ['0%', '0%']
+            }
+        }]
+    option = {
+    "series": [
+        {
+        "type": "gauge",
+        "startAngle": 90,
+        "endAngle": -270,
+        "pointer": {
+            "show": False,
+        },
+        "progress": {
+            "show": True,
+            "overlap": False,
+            "roundCap":False,
+            "clip": False,
+            "backgroundColor": '#11D1F9',
+            "itemStyle": {
+            "color": '#E96605', 
+            "borderWidth": 0,
+            "borderColor": "light blue"
+            }
+        },
+        "axisLine": {
+            "lineStyle": {
+            "width": 40
+            }
+        },
+        "splitLine": {
+            "show": False,
+            "distance": 0,
+            "length": 20
+        },
+        "axisTick": {
+            "show": False
+        },
+        "axisLabel": {
+            "show": False,
+            "distance": 50
+        },
+        "data": gaugeData,
+        "detail": {
+            "valueAnimation": True,
+            "offsetCenter": ['0%', '0%'],
+            "width": 40,
+            "height": 14,
+            "fontSize": 24,
+            "color": 'inherit',
+            "borderColor": 'inherit',
+            "borderRadius": 0,
+            "borderWidth": 0,
+            "formatter": '{value}%'
+        },
+        }
+    ]
+    }
+    return gaugeData ,option