mertbozkurt commited on
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Add application file

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  1. LICENSE +201 -0
  2. app.py +71 -0
  3. data +1 -0
  4. data_func.py +43 -0
  5. requirements.txt +3 -0
LICENSE ADDED
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app.py ADDED
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+ import streamlit as st
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+ from huggingface_hub import Repository
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+ import data_func
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+ import pandas as pd
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+ from data_func import DATA_FILE,HF_TOKEN,DATASET_REPO_URL
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+
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+ st.title("Öğrenci Notları")
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+
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+ col1, col2 = st.columns(2)
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+
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+ with col1:
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+ ogretmen = st.text_input("Ogretmen kodu:",key=12)
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+ with col2:
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+ class_code = st.text_input("Sınıf Kodu:",key=13,value=10)
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+ class_code = int(class_code)
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+ DATA_FILENAME = f"{ogretmen}.csv"
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+ DATA_FILENAME = str(DATA_FILENAME)
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+
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+
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+ @st.cache
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+ def convert_df_to_csv(df):
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+ # IMPORTANT: Cache the conversion to prevent computation on every rerun
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+ return df.to_csv().encode('utf-8')
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+
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+ def screen_analysis_main():
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+
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+ if st.button("Ogretmen koduna gore oku",key=26):
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+ try:
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+ repo, repo_df = data_func.pull_read()
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+ #repo.git_pull()
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+ filtered_df = repo_df[(repo_df['sinif_kodu'] == class_code)]#& (repo_df['not'] > 70)
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+
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+ st.dataframe(filtered_df)
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+
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+ st.download_button(label="Yuakrdaki CSV Dosyasini indir",data=convert_df_to_csv(filtered_df),
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+ file_name='large_df.csv',mime='text/csv',)
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+ filtered_df["notu"] = filtered_df["notu"].astype(int)
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+ not_ortalamasi = filtered_df["notu"].mean()
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+
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+ st.write("Sinifin not ortalamasi:",not_ortalamasi)
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+ numbers_list = filtered_df['yanlis_sorulari'].str.split(',', expand=True).stack().reset_index(drop=True)
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+ numbers_list = numbers_list.astype(int)
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+ freq = numbers_list.value_counts()
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+ freq = freq.sort_index()
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+
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+ list1= []
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+ list2= []
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+ for i in range(1,21):
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+ try:
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+ list1.append(i)
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+ list2.append([freq[i]])
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+ except KeyError:
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+
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+ list2.append(0)
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+
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+ dict_data = {}
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+ for i in range(len(list1)):
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+ dict_data[list1[i]] = list2[i]
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+
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+ df = pd.DataFrame(dict_data)
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+
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+ st.subheader("Yanlis yapilan sorularin grafkisel gosterimi")
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+ st.bar_chart(df.T)
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+
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+ except FileNotFoundError :
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+ st.write("Yanlis ad")
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+
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+
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+ #python -m streamlit run app.py
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+ if __name__ == "__main__":
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+ screen_analysis_main()
data ADDED
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1
+ Subproject commit 6b0621eed85e159a5574c65ef0dfc3d6ddc8b5ae
data_func.py ADDED
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+ import os
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+ from huggingface_hub import Repository
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+ import pandas as pd
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+
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+ DATASET_REPO_URL = "https://huggingface.co/datasets/mertbozkurt/school_data"
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+ DATA_FILENAME = "untitled.csv"
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+ DATA_FILE = os.path.join("data", DATA_FILENAME)
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+ HF_TOKEN = "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"
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+
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+ def pull_read():
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+
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+ repo = Repository(
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+ local_dir="data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
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+ )
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+
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+ with open(DATA_FILE) as csvfile:
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+ df = pd.read_csv(csvfile)
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+ df = pd.DataFrame(df)
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+
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+ return repo, df
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+
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+ def make_new_data(sinif_kodu,ogrenci_no,ders_kodu,notu,yanlislar):
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+ yeni_satir = {"sinif_kodu": sinif_kodu,
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+ "ogrenci_no": ogrenci_no,
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+ "ders_kodu": ders_kodu,
26
+ "notu": notu,
27
+ "yanlis_sorulari": yanlislar}
28
+ new_data = pd.DataFrame([yeni_satir])
29
+ return new_data
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+
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+ def update(new_data, ex_df):
32
+ updated_df = pd.concat([ex_df, new_data])
33
+ return updated_df
34
+
35
+ def save_and_push(dataFrame,repo):
36
+ dataFrame.to_csv("data/untitled.csv",index=False)
37
+ commit_url = repo.push_to_hub()
38
+ return commit_url
39
+
40
+ """repo, repo_df = pull_read()
41
+ new_data = make_new_data(12,151718,56,80,"2,3,5")
42
+ updated_df = update(new_data,repo_df)
43
+ save_and_push(updated_df,repo)"""
requirements.txt ADDED
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1
+ streamlit == 1.11.0
2
+ pandas == 1.4.3
3
+ huggingface_hub