Duplicate from ProfSathish/air-splitter

Co-authored-by: ProfSathishBabu <ProfSathish@users.noreply.huggingface.co>

.env

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+DETA_KEY = d0ul3pby_octCdNyEhb9xaFS5caPfnsinhY8Xy6Jh

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: Air Splitter
+emoji: 🏢
+colorFrom: yellow
+colorTo: green
+sdk: streamlit
+sdk_version: 1.15.2
+app_file: app.py
+pinned: false
+license: openrail
+duplicated_from: ProfSathish/air-splitter
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import ns
+import csv
+import streamlit as st
+import pandas as pd
+import os
+import time
+import streamlit_authenticator as stauth  
+import database as db
+
+st.set_page_config(page_title="COPO - SPLITTER", page_icon=":bar_chart:")
+
+placeholder = st.empty()
+
+# --- USER AUTHENTICATION ---
+users = db.fetch_all_users()
+
+usernames = [user["key"] for user in users]
+names = [user["name"] for user in users]
+hashed_passwords = [user["password"] for user in users]
+
+authenticator = stauth.Authenticate(names, usernames, hashed_passwords,"copo_generator", "abcdef", cookie_expiry_days=30)
+
+name, authentication_status, username = authenticator.login("Login", "main")
+
+if authentication_status == False:
+    st.error("Username/password is incorrect")
+
+if authentication_status == None:
+    st.warning("Please enter your username and password")
+
+if authentication_status:
+    placeholder.empty()
+    def save_input_file(input_file):
+        with open(os.path.join("inputm.csv"), "wb") as f:
+            f.write(input_file.getbuffer())
+        return st.success("Source File Uploaded")
+
+    st.title("COPO SPLITUP GENERATOR ")
+    authenticator.logout("Logout", "sidebar")
+
+    col1, col2, col3 = st.columns(3)
+
+    col4, col5 = st.columns([7,1])
+    with col1:
+        reg = st.selectbox(
+            'Enter the regulation  13 | 17 | 21 : ',
+            (13, 17, 21))
+
+    with col2:  
+        ass = st.selectbox(
+            'Choose the assessment : ',
+        ("IA1", "IA2", "MODEL", "Lab", "Project", "Custom"))
+        
+
+    if ass == "Custom":
+        with col3:
+            que_count = st.number_input('Enter the Question Count : ' , min_value=1, max_value=100, value=1, step=1)
+            
+   
+    dep = None
+    co_lister = []
+    ms_lister = []
+
+    if ass == "MODEL":
+        dep = st.selectbox(
+            'Choose the Department',
+            ("S & H", "Other"))
+    
+    if dep == "S & H":
+        dep = 1
+    elif dep == "Other":
+        dep = 2
+    if ass == "Custom":       
+        st.markdown(f"""
+                    <div style="margin-top:35px">
+                        
+                    <div>
+                    """, unsafe_allow_html=True)
+        st.write("COPO NUMBERS")
+        for i in range(que_count):
+            # que = st.text_input(f"Enter the question {i+1} co number : ", placeholder="CO1")
+            que = st.selectbox(f"Enter the question {i+1} co number : ",
+            ("CO - 1", "CO - 2", "CO - 3", "CO - 4", "CO - 5", "CO - 6", "CO - 7", "CO - 8", "CO - 9", "CO - 10", "CO - 11", "CO - 12", "CO - 13", "CO - 14", "CO - 15", "CO - 16", "CO - 17", "CO - 18", "CO - 19", "CO - 20"))
+            if que == f"CO - {i+1}":
+                deo = i+1
+                co_lister.append(deo)
+                que = 20
+                
+        st.markdown(f"""
+                <div style="margin-top:35px">
+                <div>
+                """, unsafe_allow_html=True)
+        st.write("COPO MARKS")
+        for i in range(que_count):
+            mque = st.selectbox(f"Enter the question {i+1} mark : ",
+            (2, 13, 15, 16, 20))
+            ms_lister.append(mque)
+        st.markdown(f"""
+                <div style="margin-top:35px">
+                    
+                <div>
+                """, unsafe_allow_html=True)
+    with col4:
+        file_name = st.text_input('Enter the Output File Name: ', placeholder="COPO_File")
+    with col5:
+        st.markdown(f"""
+                    <div style="margin-top:35px">
+                        
+                    <div>
+                    """, unsafe_allow_html=True)
+        st.button("Submit")
+        
+
+    trunc_file = "inputm.csv"
+    f = open(trunc_file, "w+")
+    f.close()
+
+    # if ass != "Custom":
+    input_mark = st.text_area(f"Enter the marks of {ass}:  ")
+    arr = [int(i) for i in input_mark.strip().split("\n") if i]
+    
+    with open("inputm.csv", 'a') as my_file:
+        for i in arr:
+            my_file.write(str(i) + "\n")
+    
+    if ass == "IA1":
+        ass = 1
+    elif ass == "IA2":
+        ass = 2
+    elif ass == "MODEL":
+        ass = 3
+    elif ass == "Lab":
+        ass = 4
+    elif ass == "Project":
+        ass = 5
+    elif ass == "Custom":
+        ass = 6
+
+
+
+    def getbtn(btn_func):
+        if btn_func:
+            st.warning("Wait while Generating...")
+            ns.ranCOS(reg, ass, file_name, dep, co_lister, ms_lister)
+            df = pd.read_csv(f"{file_name}.csv", skiprows = 2)
+            st.write(df)
+            time.sleep(3)
+            if file_name is not None:
+                with open(file_name + ".csv", 'rb') as my_file:
+                    st.download_button(label = 'Download', data = my_file, file_name = file_name + '.xlsx', mime = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')   
+            os.remove(file_name + ".csv")
+            st.success("Generated Successfully!")
+            
+            time.sleep(2)
+            os.remove(file_name + ".xlsx")
+        
+    getbtn(st.button("Generate"))

database.py

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+import os
+
+from deta import Deta  # pip install deta
+from dotenv import load_dotenv  # pip install python-dotenv
+
+
+# Load the environment variables
+load_dotenv(".env")
+DETA_KEY = os.getenv("DETA_KEY")
+
+# Initialize with a project key
+deta = Deta(DETA_KEY)
+
+# This is how to create/connect a database
+db = deta.Base("users_db")
+
+
+def insert_user(username, name, password):
+    """Returns the user on a successful user creation, otherwise raises and error"""
+    return db.put({"key": username, "name": name, "password": password})
+
+
+def fetch_all_users():
+    """Returns a dict of all users"""
+    res = db.fetch()
+    return res.items
+
+
+def get_user(username):
+    """If not found, the function will return None"""
+    return db.get(username)
+
+
+def update_user(username, updates):
+    """If the item is updated, returns None. Otherwise, an exception is raised"""
+    return db.update(updates, username)
+
+
+def delete_user(username):
+    """Always returns None, even if the key does not exist"""
+    return db.delete(username)

ns.py

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+import random as ra
+import csv
+import pandas as pd
+
+#Input
+def getmarks():
+    with open('inputm.csv', newline='') as f:
+        reader = csv.reader(f)
+        print(reader)
+        ll = []
+        totall = [list(map(int, rec)) for rec in csv.reader(f, delimiter=',')]
+        for i in totall:
+            ll.append(i[0])
+    return ll
+
+    #totall=[rec for rec in csv.reader(f, delimiter=',')]
+
+
+#RandomSplitter
+#initialize
+def ranCOS(reg, ass, assName, dep, co_lister, ms_lister):
+    print(reg,ass,assName)
+    rm =[]  #randomMarks
+    ms=[]
+    co=[]
+    #print(reg, ass, dep)
+    if (reg == 13) or (reg == 17):
+        #print(reg)
+        if ass == 1:
+            ms = [2, 2, 2, 2, 2, 16, 16, 8]  #markSplitup
+            co = [1, 1, 1, 2, 2, 1, 2, 1]  #CO No
+        elif ass == 2:
+            ms = [2, 2, 2, 2, 2, 16, 16, 8]  #markSplitup
+            co = [3, 3, 3, 4, 4, 3, 4, 3]  #CO No
+        elif ass == 3 :
+            # dep=int(input("\nDepartment\n1.S & H \n2.Other  \nchoose the department : "))
+            if dep==1:
+                ms = [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 16, 16, 16, 16,
+                  16]  #markSplitup
+                co = [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 1, 2, 3, 4, 5]  #CO No
+            elif dep == 2:
+                ms = [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 13, 13, 13, 13, 13,
+                  15]  #markSplitup
+                co = [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 1, 2, 3, 4, 5, 5]  #CO No
+        elif ass == 4:
+            ms = [20, 20, 20, 20, 20]  #markSplitup
+            co = [1, 2, 3, 4, 5]  #CO No
+        elif ass == 5:
+            ms = [20, 20, 20, 20, 20]  #markSplitup
+            co = [1, 2, 3, 4, 5]  #CO No
+        elif ass == 6:
+            # que_count=int(input("PLease enter Question Count : "))
+            for i in co_lister:
+                co.append(int(i))
+            for i in ms_lister:
+                ms.append(int(i))
+                # ms.append(int(input(f"Enter the question {i+1} mark : ")))
+        
+    elif reg == 21:
+        if ass == 1:
+            ms = [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 16, 16, 8]  #markSplitup
+            co = [1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 1, 2, 3]  #CO No
+        if ass == 2:
+            ms = [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 16, 16, 8]  #markSplitup
+            co = [4, 4, 4, 4, 5, 5, 5, 5, 3, 3, 4, 5, 3]  #CO No
+        elif ass == 4:
+            ms = [20, 20, 20, 20, 20]  #markSplitup
+            co = [1, 2, 3, 4, 5]  #CO No
+        elif ass == 5:
+            ms = [20, 20, 20, 20, 20]  #markSplitup
+            co = [1, 2, 3, 4, 5]  #CO No
+        elif ass == 6:
+            # que_count=int(input("PLease enter Question Count : "))
+            # for i in range(que_count):
+            #     co.append(int(input(f"Enter the question {i+1} co number : ")))
+            # for i in range(que_count):
+            #     ms.append(int(input(f"Enter the question {i+1} mark : ")))
+            
+            for i in co_lister:
+                co.append(int(i))
+            for i in ms_lister:
+                ms.append(int(i))
+    #print(ms,co)
+    #que_count = qcount
+    qno = [ i+1 for i in range(len(ms))]  
+    wm = getmarks() # read the marks
+    #print(wm)
+    #splitter
+    for j in wm:
+        ml = {}
+        summ = j
+        while True:
+            for i in range(len(ms)):
+                #print(j)
+                if j == 0:
+                    ml[i + 1] = 0
+                elif j < 41:
+                    if j > 10:
+                        ml[i + 1] = ra.randint(0, ms[i])
+                    elif j < 6:
+                        ml[i + 1] = ra.randint(0, 1)
+                    else:
+                        ml[i + 1] = ra.randint(0, 2)
+                elif j > 40 and j < 61:
+                    if ms[i] < 3:
+                        ml[i + 1] = ra.randint(0, ms[i])
+                    else:
+                        ml[i + 1] = ra.randint(5, ms[i])
+                elif j > 60 and j < 81:
+                    if ms[i] < 3:
+                        ml[i + 1] = ra.randint(1, ms[i])
+                    else:
+                        ml[i + 1] = ra.randint(7, ms[i])
+                elif j > 80 and j < 100:
+                    if ms[i] < 3:
+                        ml[i + 1] = ra.randint(2, ms[i])
+                    else:
+                        ml[i + 1] = ra.randint(9, ms[i])
+                else:
+                    ml[i + 1] = ms[i]
+
+            #print(ml)
+            if sum(ml.values()) == summ:
+                rm.append(ml)
+                #print(rm)
+                break
+    #output
+    assName = assName + ".csv"
+    with open(assName, "w", newline="") as outfile:
+        writer = csv.writer(outfile)
+        writer.writerow(["KGiSL INSTITUTE of Technology"])
+        writer.writerow([f"Assessment Name : {assName}"])
+        co1spup=[sum([ms[v] for v in range(len(ms)) if co[v] == 1])]
+        co2spup=[sum([ms[v] for v in range(len(ms)) if co[v] == 2])]
+        co3spup=[sum([ms[v] for v in range(len(ms)) if co[v] == 3])]
+        co4spup=[sum([ms[v] for v in range(len(ms)) if co[v] == 4])]
+        co5spup=[sum([ms[v] for v in range(len(ms)) if co[v] == 5])]
+        writer.writerow([*['QNO ->'], *qno,*["Course Outcome SPUP"]])
+        writer.writerow([*['CO ->'], *co,*['co1Tot'], *['co2Tot'], *['co3Tot'],
+            *['co4Tot'], *['co5Tot']
+                        #, *['co6Tot']
+                        ])
+        writer.writerow([
+            *['TM | MS -> '], *ms,*co1spup,*co2spup,*co3spup,*co4spup,*co5spup])
+        #writer.writerow(list(ml.keys()))
+        for i in range(len(rm)):
+            spup = list(rm[i].values())
+            co1tot = [spup[v] for v in range(len(spup)) if co[v] == 1]
+            co2tot = [spup[v] for v in range(len(spup)) if co[v] == 2]
+            co3tot = [spup[v] for v in range(len(spup)) if co[v] == 3]
+            co4tot = [spup[v] for v in range(len(spup)) if co[v] == 4]
+            co5tot = [spup[v] for v in range(len(spup)) if co[v] == 5]
+            #co6tot = [spup[v] for v in range(len(spup)) if co[v] == 6]
+            #print(co1tot, co2tot, co3tot, co4tot, co5tot, co6tot)
+            writer.writerow([
+                *[sum(spup)], *spup, *[sum(co1tot)], *[sum(co2tot)],
+                *[sum(co3tot)], *[sum(co4tot)], *[sum(co5tot)]
+                #*[sum(co6tot)
+            ])
+            #writer.writerow(co1tot)
+
+ 
+'''
+# Reading the csv file
+df_new = pd.read_csv('ghu.csv') 
+# saving xlsx file
+GFG = pd.ExcelWriter('Names.xlsx')
+df_new.to_excel(GFG, index=False)
+ 
+GFG.save()'''

requirements.txt

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+deta==1.1.0
+pandas==1.5.2
+python-dotenv==0.21.0
+streamlit==1.15.2
+streamlit_authenticator==0.1.5