Merge pull request #2 from Bikram-ghuku/main

Update Kronos2.0 Deps and code

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.7-slim
+FROM python:3.12.3-slim
 
 WORKDIR /app
 

README.md

@@ -22,7 +22,7 @@ python -m venv env
 
 ### Activate the virtual environment 
 ```shell
-env\Scripts\activate
+source env/bin/activate
 ```
 
 ### Install Dependencies 

app.py

@@ -10,15 +10,14 @@
 
 #st.set_page_config(layout="wide")
 st.set_page_config(page_title='Kronos2.0',page_icon = 'favicon.ico',layout = 'wide')
-st.set_option('deprecation.showPyplotGlobalUse', False)
 head = """<script async defer data-website-id="f7b646ab-c9b9-4995-bd4c-14e1b9590000" src="https://umami.mukul-mehta.in/umami.js"></script>"""
 components.html(head, height=0)
 
-@st.cache(allow_output_mutation=True)
+@st.cache_resource
 def get_data():
     return pd.read_csv(r'data/final_grades.csv')
 
-@st.cache
+@st.cache_data
 def get_json():
     f = open(r'data/data_file.json')
     data = json.load(f)
@@ -134,7 +133,7 @@ def get_json():
 st.write("")
 abc = df_num.transpose()
 colNames = []
-for (columnName, columnData) in abc.iteritems():
+for (columnName, columnData) in abc.items():
     colNames.append(columnName)
     abc[columnName] = (abc[columnName] / abc[columnName].sum()) * 100
 

requirements.txt

@@ -1,8 +1,8 @@
-matplotlib==3.3.3
-pandas==1.1.5
-pipreqs==0.4.10
-plotly==4.14.1
-scipy==1.5.4
-seaborn==0.11.0
-streamlit==1.1.0
+matplotlib==3.9.0
+pandas==2.2.2
+pipreqs==0.5.0
+plotly==5.22.0
+scipy==1.13.1
+seaborn==0.13.2
+streamlit==1.35.0