Upload 49 files

.secrets/secret.yaml

@@ -0,0 +1,17 @@
+credentials:
+  usernames:
+    jsmith:
+      email: admin@farz1.com
+      name: farz  yek
+      password: abc # To be replaced with hashed password
+    rbriggs:
+      email: rbriggs@gmail.com
+      name: Rebecca Briggs
+      password: def # To be replaced with hashed password
+cookie:
+  expiry_days: 30
+  key: random_signature_key # Must be string
+  name: random_cookie_name
+preauthorized:
+  emails:
+  - melsby@gmail.com

.streamlit/config.toml

@@ -1,4 +1,6 @@
 [theme]
 backgroundColor="#070e1c"
 secondaryBackgroundColor="#1c223f"
-textColor="#ffffff"
+textColor="#ffffff"
+[client]
+showSidebarNavigation = false

main.py

@@ -1,21 +1,10 @@
-import time
+from time import sleep
 import streamlit as st
-from config.quiz import Question
-from config.option import Option
-from config.valid_text import is_valid_input, levels
-from streamlit_option_menu import option_menu
 from arabic_support import support_arabic_text
 from pathlib import Path
-import json
-from PIL import Image
-from config.conf import *
+from navigation import make_sidebar
 
-st.set_page_config(
-        page_title="AI-Medical Questionnaire",
-        page_icon="💊",
-        layout="wide",
-        initial_sidebar_state="expanded",
-)
+support_arabic_text(all=True)
 
 # مسیر فایل فعلی
 current_file_path = Path(__file__).resolve()
@@ -23,11 +12,8 @@ current_file_path = Path(__file__).resolve()
 project_root = current_file_path.parents[0]
 # مسیرهای دایرکتوری‌ها
 assets_dir = project_root / "asset"
-database_dir = project_root / "data"
 styles_dir = project_root / "styles"
-
-# پشتیبانی از متن عربی در تمامی اجزاء
-support_arabic_text(all=True)
+pages = project_root / "pages"
 
 # خواندن فایل CSS
 css_file_path = styles_dir / "main.css"
@@ -36,134 +22,22 @@ with open(css_file_path, "r", encoding="utf-8") as file:
 
 # اعمال CSS
 st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
-# def go_to_level(selected):
-#     state.level = levels()
-support_arabic_text(all=True)
-state = st.session_state
-st.title("AI-Medical Questionnaire")
-side = st.sidebar
-
-if "messages" not in state:
-    state["messages"] = []
-    start = """ سلام من دستیار شما هستم. برای بررسی و تصمیم گیری وضعیت بیماران مرحله به مرحله بررسی وضعیت بیمار را با کمک من انجام دهید. برای پیشنهاد می کنم 
-    اختلالات حرکتی را بررسی کنید. آیا بیمار دارای چنین اختلالی است؟)"""
-    state.messages.append({"role": "assistant", "content": start})
-    # st.chat_message("user", avatar=str(assets_dir / "user.png")).markdown(
-    # state["messages"] = []
-if "result" not in state:
-    state.result = ""
-if "level" not in state:
-    state.level = "L01"
-    state.next = ""
-    state.previous = ""
-
-# مسیرهای فایل‌های JSON
-question_file = database_dir / "question_data.json"
-option_file = database_dir / "option_data.json"
-
-# ایجاد کلاس‌های سوالات و گزینه‌ها
-question_class = Question(question_file, option_file)
-option_class = Option(question_file, option_file)
-
-# بارگذاری داده‌ها
-question = question_class.load_question_data()
-options = option_class.load_option_data()
-question_text = question_class.get_question_text(state.level)
-
-with side:
-    img = Image.open(assets_dir / "logo.png")
-    st.image(
-            img,
-            width=250,
-            caption="جهت بازنشانی از دکمه ریست استفاده کنید",
-    )
-
-    if st.button("reset"):
-
-        del state["messages"]
-        st.rerun()
-
-def response_generator(resp):
-    yield f"checkpoint: {state.previous}"
-    yield "\n\n"
-    for word in resp.split():
-        character = ""
-        for char in word:
-            yield character + char
-            time.sleep(0.03)
-        yield " "
-        time.sleep(0.05)
-
 
-for messages in state.messages:
-
-    if messages["role"] == "assistant":
-        avatar = str(assets_dir / "robot_icon.png")
-    elif messages["role"] == "user":
-        avatar = str(assets_dir / "user.png")
-    else:
-        avatar = None  # Default
-
-    with st.chat_message(messages["role"], avatar=avatar):
-        st.markdown(messages["content"])
-
-
-prompt = st.chat_input("""نوشتن پیام""")
-
-if prompt:
-    answer = prompt
-    answer = get_response(answer)
-    if answer == "L99":
-        state.result = "L99"
-
-        feedback = option_class.get_feedback("نتیجه", state.result)
-        st.switch_page("pages/result.py")
-    st.chat_message("user", avatar=str(assets_dir / "user.png")).markdown(prompt)
-    state.messages.append({"role": "user", "content": prompt})
-
-    if answer == "بله" or answer == "خیر":
-
-        next_level = option_class.get_next_level(answer, state.level)
-        feedback = option_class.get_feedback(answer, state.level)
-
-        if next_level != "L98" and next_level != "L99":
-            my_bar = st.progress(0, text=feedback)
-            for percent_complete in range(100):
-                time.sleep(0.01)
-                my_bar.progress(percent_complete + 1, text=feedback)
-            time.sleep(1)
-            my_bar.empty()
-            state.previous = state.level
-            state.level = next_level
-
-            resp = question_class.get_question_text(state.level)[0]
-            with st.chat_message("assistant"):
-                response = st.write_stream(response_generator(resp))
-                state.messages.append({"role": "assistant", "content": response})
-
-        elif next_level == "L98":
-            state.previous = state.level
-            state.level = next_level
+state = st.session_state
 
-            state.result = feedback
-            st.switch_page("pages/result.py")
-        elif next_level == "L99":
-            state.result = feedback
-            st.switch_page("pages/result.py")
+make_sidebar()
+st.title("Welcome to AI-Medical Questionnaire")
 
-    elif answer[0] == "L":
+st.write("Please log in to continue (username `admin`, password `admin`).")
 
-        feedback = "تغییر بخش مورد بررسی, تا چند لحظه دیگر"
-        state.previous = state.level
-        next_level = answer
-        state.level = next_level
-        resp = question_class.get_question_text(state.level)[0]
-        with st.chat_message("assistant"):
-            response = st.write_stream(response_generator(resp))
-            state.messages.append({"role": "assistant", "content": response})
+username = st.text_input("Username")
+password = st.text_input("Password", type="password")
 
+if st.button("Log in", type="primary"):
+    if username == "admin" and password == "admin":
+        state.logged_in = True
+        st.success("Logged in successfully!")
+        # sleep(0.5)
+        st.switch_page(str(pages / "1_app.py"))
     else:
-        with st.chat_message("assistant"):
-            answer = unknown()
-            response = st.write_stream(response_generator(answer))
-            state.messages.append({"role": "assistant", "content": response})
+        st.error("Incorrect username or password")

navigation.py

@@ -0,0 +1,71 @@
+import streamlit as st
+from time import sleep
+from streamlit.runtime.scriptrunner import get_script_run_ctx
+from streamlit.source_util import get_pages
+from pathlib import Path
+from arabic_support import support_arabic_text
+# مسیر فایل فعلی
+current_file_path = Path(__file__).resolve()
+# مسیر ریشه پروژه (دو سطح بالاتر از فایل فعلی)
+project_root = current_file_path.parents[0]
+# مسیرهای دایرکتوری‌ها
+assets_dir = project_root / "asset"
+
+styles_dir = project_root / "styles"
+support_arabic_text(all=True)
+
+# خواندن فایل CSS
+css_file_path = styles_dir / "main.css"
+
+
+
+state = st.session_state
+def get_current_page_name():
+    ctx = get_script_run_ctx()
+    if ctx is None:
+        raise RuntimeError("Couldn't get script context")
+
+    pages = get_pages("")
+
+    return pages[ctx.page_script_hash]["page_name"]
+
+
+def make_sidebar():
+    support_arabic_text(all=True)
+    with open(css_file_path, "r", encoding="utf-8") as file:
+        css_code = file.read()
+
+    # اعمال CSS
+    st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+    with st.sidebar:
+
+        st.title("💊 AI-Medical Questionnaire")
+        st.write("")
+        st.write("")
+
+        if state.get("logged_in", False):
+            st.page_link("pages/1_app.py", label="دستیار هوشمند", icon="💊")
+            st.page_link("pages/2_result.py", label="نتیجه بررسی", icon="💉")
+            st.page_link("pages/3_data_entry.py", label="فرم ورود اطلاعات پایگاه داده", icon="✅")
+            st.page_link("pages/4_About_us.py", label="درباره سازندگان", icon="🕵️")
+            st.page_link("pages/5_print_data.py", label="دریافت گزارش بررسی انجام گرفته", icon="📈")
+            st.page_link("pages/6_upload_to_db.py", label="ورود اطلاعات به پایگاه داده", icon="📝")
+
+            st.write("")
+            st.write("")
+
+            if st.button("Log out"):
+                logout()
+
+        elif get_current_page_name() != "main":
+            # If anyone tries to access a secret page without being logged in,
+            # redirect them to the login page
+            st.switch_page("main.py")
+
+
+
+def logout():
+    state.logged_in = False
+    st.info("Logged out successfully!")
+    sleep(0.5)
+    st.switch_page("main.py")

pages/1_app.py

@@ -0,0 +1,169 @@
+import time
+import streamlit as st
+from config.quiz import Question
+from config.option import Option
+from config.valid_text import is_valid_input, levels
+from arabic_support import support_arabic_text
+from pathlib import Path
+import json
+from PIL import Image
+from config.conf import *
+from navigation import make_sidebar
+
+
+
+
+# st.set_page_config(
+#         page_title="AI-Medical Questionnaire",
+#         page_icon="💊",
+#         layout="wide",
+#         initial_sidebar_state="expanded",
+# )
+
+# مسیر فایل فعلی
+current_file_path = Path(__file__).resolve()
+# مسیر ریشه پروژه (دو سطح بالاتر از فایل فعلی)
+project_root = current_file_path.parents[1]
+# مسیرهای دایرکتوری‌ها
+assets_dir = project_root / "asset"
+database_dir = project_root / "data"
+styles_dir = project_root / "styles"
+
+# خواندن فایل CSS
+css_file_path = styles_dir / "main.css"
+with open(css_file_path, "r", encoding="utf-8") as file:
+    css_code = file.read()
+
+# اعمال CSS
+st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+# def go_to_level(selected):
+#     state.level = levels()
+support_arabic_text(all=True)
+state = st.session_state
+st.title("AI-Medical Questionnaire")
+side = st.sidebar
+make_sidebar()
+if "messages" not in state:
+    state["messages"] = []
+    start = """ سلام من دستیار شما هستم. برای بررسی و تصمیم گیری وضعیت بیماران مرحله به مرحله بررسی وضعیت بیمار را با کمک من انجام دهید. برای پیشنهاد می کنم 
+    اختلالات حرکتی را بررسی کنید. آیا بیمار دارای چنین اختلالی است؟)"""
+    state.messages.append({"role": "assistant", "content": start})
+    # st.chat_message("user", avatar=str(assets_dir / "user.png")).markdown(
+    # state["messages"] = []
+if "result" not in state:
+    state.result = ""
+if "level" not in state:
+    state.level = "L01"
+    state.next = ""
+    state.previous = ""
+
+# مسیرهای فایل‌های JSON
+question_file = database_dir / "question_data.json"
+option_file = database_dir / "option_data.json"
+
+# ایجاد کلاس‌های سوالات و گزینه‌ها
+question_class = Question(question_file, option_file)
+option_class = Option(question_file, option_file)
+
+# بارگذاری داده‌ها
+question = question_class.load_question_data()
+options = option_class.load_option_data()
+question_text = question_class.get_question_text(state.level)
+
+with side:
+    img = Image.open(assets_dir / "logo.png")
+    st.image(
+            img,
+            width=250,
+            caption="جهت بازنشانی از دکمه ریست استفاده کنید",
+    )
+
+    if st.button("reset"):
+
+        del state["messages"]
+        st.rerun()
+
+def response_generator(resp):
+    yield f"checkpoint: {state.previous}"
+    yield "\n\n"
+    for word in resp.split():
+        character = ""
+        for char in word:
+            yield character + char
+            time.sleep(0.03)
+        yield " "
+        time.sleep(0.05)
+
+
+for messages in state.messages:
+
+    if messages["role"] == "assistant":
+        avatar = str(assets_dir / "robot_icon.png")
+    elif messages["role"] == "user":
+        avatar = str(assets_dir / "user.png")
+    else:
+        avatar = None  # Default
+
+    with st.chat_message(messages["role"], avatar=avatar):
+        st.markdown(messages["content"])
+
+
+prompt = st.chat_input("""نوشتن پیام""")
+
+if prompt:
+    answer = prompt
+    answer = get_response(answer)
+    if answer == "L99":
+        state.result = "L99"
+
+        feedback = option_class.get_feedback("نتیجه", state.result)
+        st.switch_page("pages/result.py")
+    st.chat_message("user", avatar=str(assets_dir / "user.png")).markdown(prompt)
+    state.messages.append({"role": "user", "content": prompt})
+
+    if answer == "بله" or answer == "خیر":
+
+        next_level = option_class.get_next_level(answer, state.level)
+        feedback = option_class.get_feedback(answer, state.level)
+
+        if next_level != "L98" and next_level != "L99":
+            my_bar = st.progress(0, text=feedback)
+            for percent_complete in range(100):
+                time.sleep(0.01)
+                my_bar.progress(percent_complete + 1, text=feedback)
+            time.sleep(1)
+            my_bar.empty()
+            state.previous = state.level
+            state.level = next_level
+
+            resp = question_class.get_question_text(state.level)[0]
+            with st.chat_message("assistant"):
+                response = st.write_stream(response_generator(resp))
+                state.messages.append({"role": "assistant", "content": response})
+
+        elif next_level == "L98":
+            state.previous = state.level
+            state.level = next_level
+
+            state.result = feedback
+            st.switch_page("pages/result.py")
+        elif next_level == "L99":
+            state.result = feedback
+            st.switch_page("pages/result.py")
+
+    elif answer[0] == "L":
+
+        feedback = "تغییر بخش مورد بررسی, تا چند لحظه دیگر"
+        state.previous = state.level
+        next_level = answer
+        state.level = next_level
+        resp = question_class.get_question_text(state.level)[0]
+        with st.chat_message("assistant"):
+            response = st.write_stream(response_generator(resp))
+            state.messages.append({"role": "assistant", "content": response})
+
+    else:
+        with st.chat_message("assistant"):
+            answer = unknown()
+            response = st.write_stream(response_generator(answer))
+            state.messages.append({"role": "assistant", "content": response})

pages/2_result.py

@@ -0,0 +1,74 @@
+import datetime
+import time
+from config.print_data import ConversationProcessor
+import streamlit as st
+from arabic_support import support_arabic_text
+from pathlib import Path
+from PIL import Image
+from datetime import date
+from navigation import make_sidebar
+
+
+
+
+# st.set_page_config(
+#     page_title="Result",
+#     page_icon="✅",
+#     layout="wide",
+#     initial_sidebar_state="expanded",
+# )
+support_arabic_text(all=True)
+time.sleep(.5)
+
+
+
+state = st.session_state
+current_file_path = Path(__file__).resolve()
+project_root = current_file_path.parents[1]
+assets_dir = project_root / "asset"
+database_dir = project_root / "data"
+styles_dir = project_root / "styles"
+with open(styles_dir / "main.css", "r") as file:
+    css_code = file.read()
+
+st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+
+
+side = st.sidebar
+
+make_sidebar()
+
+
+with side:
+    img = Image.open(assets_dir / "us.png")
+    st.image(img, width=250, caption="بررسی های صورت گرفته را میتوانید در این بخش دریافت نمایید")
+
+
+def main():
+
+    st.title('بررسی نتایج و گزارش وضعیت')
+    if "result" not in state:
+        st.write("شما بررسی را آغاز نکرده‌اید. به صفحه اصلی بازگردید.")
+        st.stop()
+    st.markdown(state["result"])
+    processor = ConversationProcessor(state)
+
+    if st.button('ذخیره گزارش'):
+        output_file = f"{date.today()}_report.txt"
+        processor.save_conversation_to_text(output_file)
+
+        with open(output_file, 'r', encoding='utf-8') as f:
+            report_text = f.read()
+
+        st.text_area("گزارش", report_text, height=300)
+
+        st.download_button(
+            label="دانلود فایل متنی",
+            data=report_text,
+            file_name=output_file,
+            mime="text/plain"
+        )
+
+
+if __name__ == "__main__":
+    main()

pages/3_data_entry.py

@@ -0,0 +1,151 @@
+from config.process_text import DataManager
+import pandas as pd
+import streamlit as st
+from arabic_support import support_arabic_text
+from pathlib import Path
+from PIL import Image
+from navigation import make_sidebar
+import streamlit as st
+
+# st.set_page_config(
+#     page_title="Data Entry",
+#     page_icon="📈",
+#     layout="wide",
+#     initial_sidebar_state="expanded",
+# )
+
+# پشتیبانی از متن عربی در تمامی اجزاء
+support_arabic_text(all=True)
+
+# مسیر فایل فعلی
+current_file_path = Path(__file__).resolve()
+# مسیر ریشه پروژه (یک سطح بالاتر از فایل فعلی)
+project_root = current_file_path.parents[1]
+# مسیرهای دایرکتوری‌ها
+assets_dir = project_root / "asset"
+database_dir = project_root / "data"
+styles_dir = project_root / "styles"
+
+# خواندن CSS از فایل
+with open(styles_dir / "main.css", "r") as file:
+    css_code = file.read()
+
+# اعمال CSS
+st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+
+side = st.sidebar
+state = st.session_state
+
+make_sidebar()
+if "message" not in state:
+    state["message"] = "No changes"
+
+
+with side:
+    img = Image.open(assets_dir / "robot.png")
+    st.image(img, width=250, caption="Enter Data to DB")
+
+messageboard = st.empty()
+
+group_dict = {
+    "Movement Disorders": "L01",
+    "Chorea in Face, neck, upper limbs, Trunk, lower limbs, and generalized": "L02",
+    "Eye movement disorders and neurological symptoms": "L03",
+    "Neurometabolic Diseases": "L04",
+    "Hyperhomocysteinemia": "L06",
+    "Psychiatric manifestations": "L05",
+    "Spinal cord involvement": "L07",
+    "Intracellular Cobalamin Metabolism": "L08",
+    "Lysosomal acid lipase deficiency": "L09",
+    "Di-hydro Lipoamide Dehydrogenase Deficiency": "L10",
+    "hypophosphatemia": "L11",
+    "Non hepatic hyperammonemic encephalopathy complications following bariatric surgery": "L12",
+    "upper limb tremor": "L13",
+    "mitochondrial diseases": "L14",
+}
+
+
+def _clear_cache():
+    for key in st.session_state.keys():
+        del st.session_state[key]
+
+
+def save_to_db():
+    return edited_df.to_csv(database_dir / "database.csv", index=False)
+
+
+def _add_db_callback():
+    datamanager = DataManager()
+    if (
+        state.options != ""
+        and state.level != ""
+        and state.question_text != ""
+        and state.feedback != ""
+    ):
+        try:
+            group_id = datamanager.get_id(state.group_key)
+            datamanager.save_to_database(
+                state.level,
+                state.question_text,
+                group_id,
+                state.options,
+                state.feedback,
+            )
+            state["message"] = "saved!"
+        except IndexError as e:
+            st.error(e)
+
+
+st.title("answer")
+with st.form("answer_form", clear_on_submit=False):
+    col1, col2, col3 = st.columns([4, 1, 1])
+    with col1:
+        st.selectbox(
+            label="Group name", options=group_dict.keys(), key="group_key"
+        )  # Corrected the key parameter
+
+    with col2:
+        st.text_input(
+            label="Question id",
+            placeholder="Question id",
+            value=None,
+            key="level",
+        )
+    with col3:
+        st.text_input(
+            label="next",
+            placeholder="next",
+            value=None,
+            key="next",
+        )
+    st.text_area(
+        label="Question text",
+        value=None,
+        placeholder="Question text",
+        key="question_text",
+    )
+    st.text_input(
+        label="Option text", value=None, placeholder="Option text", key="option"
+    )
+    st.text_input(
+        label="action text", value=None, placeholder="action text", key="feedback"
+    )
+
+    submitted = st.form_submit_button(
+        "submitted",
+        on_click=_add_db_callback,
+    )
+
+if submitted:
+    messageboard.info(state.message)
+
+with st.expander("show data"):
+    df_db = pd.read_csv(database_dir / "database.csv")
+    edited_df = st.data_editor(
+        df_db,
+        num_rows="dynamic",
+        use_container_width=True,
+        hide_index=True,
+        on_change=save_to_db,
+    )
+    clear = st.button("Clear Cash", on_click=_clear_cache)

pages/4_About_us.py

@@ -0,0 +1,50 @@
+import json
+from pathlib import Path
+from PIL import Image
+import pandas as pd
+import streamlit as st
+from arabic_support import support_arabic_text
+from config.handling import *
+from navigation import make_sidebar
+import streamlit as st
+
+
+# st.set_page_config(
+#     page_title="About-us",
+#     page_icon="💊",
+#     layout="wide",
+#     initial_sidebar_state="expanded",
+# )
+
+# Support Arabic text alignment in all components
+support_arabic_text(all=True)
+
+
+current_file_path = Path(__file__).resolve()
+project_root = current_file_path.parents[1]
+assets_dir = project_root / "asset"
+database_dir = project_root / "data"
+styles_dir = project_root / "styles"
+
+
+
+# Reading CSS from file
+with open(styles_dir / "main.css", "r") as file:
+    css_code = file.read()
+
+# Applying CSS
+st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+
+side = st.sidebar
+make_sidebar()
+with side:
+    img = Image.open(assets_dir/"us.png")
+    st.image(img, width=250, caption="درباره ما")
+with st.container():
+    st.title('درباره ما:')
+    banner = Image.open(assets_dir/"whoweare.jpg")
+    col1, col2 = st.columns([5, 3])
+    with col1:
+        st.image(banner)
+    with col2:
+        st.text_area("سازندگان:")

pages/5_print_data.py

@@ -0,0 +1,72 @@
+import datetime
+import streamlit as st
+from config.print_data import ConversationProcessor
+from arabic_support import support_arabic_text
+from pathlib import Path
+from PIL import Image
+from datetime import date
+from navigation import make_sidebar
+import streamlit as st
+
+
+# st.set_page_config(
+#     page_title="Data Handling",
+#     page_icon="📈",
+#     layout="wide",
+#     initial_sidebar_state="expanded",
+# )
+
+support_arabic_text(all=True)
+
+current_file_path = Path(__file__).resolve()
+project_root = current_file_path.parents[1]
+assets_dir = project_root / "asset"
+database_dir = project_root / "data"
+styles_dir = project_root / "styles"
+
+with open(styles_dir / "main.css", "r") as file:
+    css_code = file.read()
+
+st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+side = st.sidebar
+
+state = st.session_state
+
+if "messages" not in state:
+    state["messages"] = []
+    start = """ سلام من دستیار شما هستم. برای بررسی و تصمیم گیری وضعیت بیماران مرحله به مرحله بررسی وضعیت بیمار را با کمک من انجام دهید. برای پیشنهاد می کنم 
+    اختلالات حرکتی را بررسی کنید. آیا بیمار دارای چنین اختلالی است؟)"""
+
+make_sidebar()
+# Sidebar menu
+with side:
+    # Display image
+    img = Image.open(assets_dir / "us.png")
+    st.image(img, width=250, caption="بررسی های صورت گرفته را میتوانید در این بخش دریافت نمایید")
+
+
+def main():
+
+    st.title('بررسی نتایج و گزارش وضعیت')
+
+    processor = ConversationProcessor(state)
+
+    if st.button('ذخیره گزارش'):
+        output_file = f"{date.today()}_report.txt"
+        processor.save_conversation_to_text(output_file)
+
+        with open(output_file, 'r', encoding='utf-8') as file:
+            report_text = file.read()
+
+        st.text_area("گزارش", report_text, height=300)
+
+        st.download_button(
+            label="دانلود فایل متنی",
+            data=report_text,
+            file_name=output_file,
+            mime="text/plain"
+        )
+
+
+if __name__ == "__main__":
+    main()

pages/6_upload_to_db.py

@@ -0,0 +1,55 @@
+import json
+# from pathlib import Path
+from PIL import Image
+import pandas as pd
+from arabic_support import support_arabic_text
+import config.handling
+from config.handling import *
+from navigation import make_sidebar
+import streamlit as st
+
+
+#
+# st.set_page_config(
+#     page_title="Upload Data",
+#     page_icon="📝",
+#     layout="wide",
+#     initial_sidebar_state="expanded",
+# )
+support_arabic_text(all=True)
+
+
+current_file_path = Path(__file__).resolve()
+project_root = current_file_path.parents[1]
+assets_dir = project_root / "asset"
+database_dir = project_root / "data"
+styles_dir = project_root / "styles"
+
+with open(styles_dir / "main.css", "r") as file:
+    css_code = file.read()
+
+st.markdown(f"<style>{css_code}</style>", unsafe_allow_html=True)
+side = st.sidebar
+
+make_sidebar()
+with side:
+
+    img = Image.open(assets_dir / "robot.png")
+
+    st.image(img, width=250, caption="بارگذاری داده ها")
+
+st.title("بارگذاری در پایگاه داده")
+uploaded_file = st.file_uploader(
+    "Choose a XLSX file", type=["xlsx"], accept_multiple_files=False
+)
+if uploaded_file is not None:
+    df = pd.read_excel(uploaded_file)
+    df = config.handling.data_cleaning(df)
+
+    df2 = data_cleaning(df)
+    quiz = quiz_maker(df2)
+    option = option_maker(df2)
+    df2.to_csv(database_dir / "data5.csv", index=False)
+    # st.write("filename:", uploaded_file.name)
+    df2 = pd.read_csv(database_dir / "data5.csv")
+    st.data_editor(df2)