Upload 8 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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
+files/Vorsorge[[:space:]]und[[:space:]]Verhalten[[:space:]]bei[[:space:]]Unwetter[[:space:]]-[[:space:]]Was[[:space:]]tun[[:space:]]bei[[:space:]]Unwetter_[[:space:]]-[[:space:]]BBK.pdf filter=lfs diff=lfs merge=lfs -text

files/Vorsorge und Verhalten bei Unwetter - Was tun bei Unwetter_ - BBK.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76356872fafaa2ae3d092837fd41e363a4adde4e66a572ce900e88f2c0ebf868
+size 1447154

landing.py

@@ -0,0 +1,28 @@
+import streamlit as st
+from transformers import pipeline
+import datetime
+import pandas as pd
+from pathlib import Path
+
+st.set_page_config(
+    page_title="Startseite",
+    layout="wide",
+    initial_sidebar_state="expanded",
+)
+
+st.sidebar.markdown("# Startseite")
+
+
+# HEADER
+header = st.title("Dateiupload für Behörden und Organisationen mit Sicherheitsaufgaben")
+
+
+
+   
+
+
+
+
+
+
+

pages/about.py

@@ -0,0 +1,14 @@
+import streamlit as st
+from transformers import pipeline
+import datetime
+import pandas as pd
+from pathlib import Path
+
+st.set_page_config(
+    page_title="Impressum",
+    layout="wide",
+    initial_sidebar_state="expanded",
+)
+
+st.markdown("# Impressum")
+st.sidebar.markdown("# Impressum")

pages/bot.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from transformers import pipeline
+import datetime
+import pandas as pd
+from pathlib import Path   
+# to-do import upload
+
+
+st.markdown("# Chatbot")
+st.sidebar.markdown("# Chatbot")
+
+uploaded_file = '' # PLACEHOLDER
+
+# Display file content
+file_content = uploaded_file.read()
+st.write("Dateiinhalt:")
+st.code(file_content)
+
+# User input for question
+user_question = st.text_input("Stellen Sie eine Frage zum hochgeladenen PDF:")
+
+
+    # Perform Hugging Face task (e.g., question answering)
+if user_question:
+    question_answering = pipeline(
+        "question-answering",
+        model="deepset/gelectra-base-germanquad-distilled",
+        tokenizer="deepset/gelectra-base-germanquad-distilled"
+    )
+
+    # Get answer to the user's question
+    answer = question_answering(question=user_question, context=file_content)
+
+    # Display the answer to the user's question
+    st.write(f"Antwort auf die Frage '{user_question}': {answer['answer']}")
+    st.write("Confidence Score:", answer['score'])

pages/table.py

@@ -0,0 +1,88 @@
+import streamlit as st
+from transformers import pipeline
+from datetime import datetime
+import pandas as pd
+from pathlib import Path
+import csv
+import os
+
+st.set_page_config(
+    page_title="Hochgeladene Dokumente",
+    layout="wide",
+    initial_sidebar_state="expanded",
+)
+
+make_button_smaller = """
+        <style>
+        .stbutton {
+            width: 20px;
+            height: 19px;
+            }
+        </style>
+        """
+st.markdown(make_button_smaller, unsafe_allow_html=True)
+st.markdown("# Hochgeladene Dokumente")
+st.sidebar.markdown("# Hochgeladene Dokumente")
+
+field_names = ['Index', 'Titel', 'Hochladezeitpunkt']
+
+FILES = []
+
+def newIndex():
+    lastIndex = len(FILES)
+    newIndex = lastIndex + 1
+    return newIndex
+
+def generate_files():
+    folder = 'C:/Users/keckm/Documents/GitHub/Streamlit/files'
+    files = os.listdir(folder)
+    for file in files:
+        file_path = Path(folder, file)
+        index = newIndex()
+        title = file
+        upload_time = os.path.getctime(Path(folder, file))
+        upload_time = datetime.fromtimestamp(upload_time).strftime("%d.%m.%Y - %H:%M:%S")
+        if os.path.isfile(file_path):
+            file_info = {
+                "Index": index,
+                "Titel": title,
+                "Hochladezeitpunkt": upload_time
+            }
+            FILES.append(file_info)
+    return FILES
+
+def delete_entry(key):
+    folder = 'C:/Users/keckm/Documents/GitHub/Streamlit/files'
+    file = FILES[key]['Titel']
+    os.remove(Path(folder, file))
+    FILES.pop(key)
+    generate_files()
+
+
+def display_table():
+        hide_table_row_index = """ 
+            <style>
+            thead tr th:first-child {display:none}
+            tbody th {display:none}
+            </style>
+            """
+        
+
+# Inject CSS with Markdown
+        st.markdown(hide_table_row_index, unsafe_allow_html=True)
+
+# Display a static table
+col1, col2 = st.columns([5, 1])
+with col1:
+    table1 = pd.DataFrame.from_dict(generate_files())
+    st.table(table1.style.format(subset=['Titel']))
+with col2:
+    key = 0
+    for entry in FILES:
+        st.button('Löschen', on_click = delete_entry(key), key = key, use_container_width = True)
+        key = key + 1
+
+display_table()
+
+
+

pages/upload.py

@@ -0,0 +1,32 @@
+import streamlit as st
+from pathlib import Path
+from pages.table import generate_files
+
+st.set_page_config(
+    page_title="Dokumentenupload",
+    layout="wide",
+    initial_sidebar_state="expanded",
+)
+
+st.markdown("# Dokumentenupload")
+st.sidebar.markdown("# Dokumentenupload")
+
+UPLOAD_FOLDER = 'C:/Users/keckm/Documents/GitHub/Streamlit/files' # Ordner für Dateiablage
+
+def save_file(uploaded_file):
+    save_folder = UPLOAD_FOLDER
+    save_path = Path(save_folder, uploaded_file.name)
+    with open(save_path, mode = 'wb') as w:
+        w.write(uploaded_file.getvalue())
+    if save_path.exists():
+        st.success(f'Dokument {uploaded_file.name} wurde erfolgreich auf den Server hochgeladen.')
+
+# file uploader
+with st.form('upload_form'):
+    uploaded_file = st.file_uploader("Wählen Sie eine Datei aus.", type = [ ".pdf"])
+    submit = st.form_submit_button(label='Hochladen')
+
+if uploaded_file:
+    filename = uploaded_file.name
+    save_file(uploaded_file)
+    generate_files()