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Update app.py
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app.py
CHANGED
@@ -12,50 +12,6 @@ from langchain.chains.question_answering import load_qa_chain
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from langchain.callbacks import get_openai_callback
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import os
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def cloud_button(label, key):
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button_id = f"button_{key}"
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button_html = f"""
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<style>
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#{button_id} {{
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display: inline-flex;
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align-items: center;
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justify-content: center;
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padding: 8px 15px;
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font-size: 14px;
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cursor: pointer;
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text-align: center;
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text-decoration: none;
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outline: none;
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color: #fff;
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background-color: #add8e6;
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border: none;
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border-radius: 20px;
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box-shadow: 0 5px 10px rgba(0,0,0,0.1);
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margin: 5px;
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}}
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#{button_id}:hover {{
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background-color: #9fced1;
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}}
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#{button_id}:active {{
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background-color: #87b6a7;
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box-shadow: 0 2px 5px rgba(0,0,0,0.1);
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transform: translateY(2px);
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}}
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</style>
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<button id="{button_id}" class="cloud-button">{label}</button>
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<script>
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document.getElementById("{button_id}").onclick = function() {{
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window.parent.postMessage({{
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'setSessionState': {{ '{key}': true }}
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}}, "*");
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}};
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</script>
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"""
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st.markdown(button_html, unsafe_allow_html=True)
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return st.session_state.get(key, False)
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# Step 1: Clone the Dataset Repository
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repo = Repository(
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local_dir="Private_Book", # Local directory to clone the repository
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@@ -76,9 +32,7 @@ with st.sidebar:
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add_vertical_space(1) # Adjust as per the desired spacing
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st.markdown("""
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Hello! I’m here to assist you with:<br><br>
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📘 **Glossary Inquiries:**<br>
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I can clarify terms like "DiGA", "AOP", or "BfArM", providing clear and concise explanations to help you understand our content better.<br><br>
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@@ -128,57 +82,70 @@ def load_chatbot():
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return load_qa_chain(llm=OpenAI(), chain_type="stuff")
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def main():
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hide_streamlit_style = """
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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# Main content
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st.title("Welcome to BinDocs ChatBot! 🤖")
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#
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pdf_path = pdf_file_path
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if not os.path.exists(pdf_path):
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st.error("File not found. Please check the file path.")
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return
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# Initialize chat history in session state
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if "chat_history" not in st.session_state:
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st.session_state['chat_history'] = []
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# Display previous chat messages
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display_chat_history(st.session_state['chat_history'])
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# Spacer
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st.write("<!-- Start Spacer -->", unsafe_allow_html=True)
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st.write("<div style='flex: 1;'></div>", unsafe_allow_html=True)
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st.write("<!-- End Spacer -->", unsafe_allow_html=True)
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new_messages_placeholder = st.empty()
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if pdf_path is not None:
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# User input for questions
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query = st.text_input("Ask questions about your PDF file (in any preferred language):")
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if st.button("Was genau ist ein Belegarzt?", key="button1"):
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st.session_state['belegarzt_button'] = True
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if st.button("Wofür wird die Alpha-ID verwendet?", key="button2"):
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query = "Wofür wird die Alpha-ID verwendet?"
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if st.button("Was sind die Vorteile des ambulanten operierens?", key="button3"):
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query = "Was sind die Vorteile des ambulanten operierens?"
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if st.session_state.get('belegarzt_button'):
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query = "Was genau ist ein Belegarzt?"
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# Processing the query
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if query:
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loading_message = st.empty()
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loading_message.text('Bot is thinking...')
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@@ -204,8 +171,9 @@ def main():
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# Clear the input field by setting the query variable to an empty string
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query = ""
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def display_chat_history(chat_history):
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from langchain.callbacks import get_openai_callback
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import os
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# Step 1: Clone the Dataset Repository
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repo = Repository(
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local_dir="Private_Book", # Local directory to clone the repository
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add_vertical_space(1) # Adjust as per the desired spacing
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st.markdown("""
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Hello! I’m here to assist you with:<br><br>
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📘 **Glossary Inquiries:**<br>
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I can clarify terms like "DiGA", "AOP", or "BfArM", providing clear and concise explanations to help you understand our content better.<br><br>
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return load_qa_chain(llm=OpenAI(), chain_type="stuff")
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def main():
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hide_streamlit_style = """
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<style>
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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# Main content
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st.title("Welcome to BinDocs ChatBot! 🤖")
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# Directly specifying the path to the PDF file
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pdf_path = pdf_file_path
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if not os.path.exists(pdf_path):
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st.error("File not found. Please check the file path.")
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return
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if "chat_history" not in st.session_state:
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st.session_state['chat_history'] = []
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display_chat_history(st.session_state['chat_history'])
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st.write("<!-- Start Spacer -->", unsafe_allow_html=True)
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st.write("<div style='flex: 1;'></div>", unsafe_allow_html=True)
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st.write("<!-- End Spacer -->", unsafe_allow_html=True)
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new_messages_placeholder = st.empty()
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# Add cloud-like button styles
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cloud_button_style = """
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<style>
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.stButton > button {
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border: none;
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padding: 10px 20px;
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border-radius: 25px;
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font-size: 16px;
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transition-duration: 0.4s;
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cursor: pointer;
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background-color: white;
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color: black;
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border: 2px solid #008CBA;
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}
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.stButton > button:hover {
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background-color: #008CBA;
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color: white;
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}
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</style>
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"""
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st.markdown(cloud_button_style, unsafe_allow_html=True)
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if pdf_path is not None:
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query = st.text_input("Ask questions about your PDF file (in any preferred language):")
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if st.button("Was genau ist ein Belegarzt?"):
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query = "Was genau ist ein Belegarzt?"
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if st.button("Wofür wird die Alpha-ID verwendet?"):
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query = "Wofür wird die Alpha-ID verwendet?"
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if st.button("Ask") or (not st.session_state['chat_history'] and query) or (st.session_state['chat_history'] and query != st.session_state['chat_history'][-1][1]):
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st.session_state['chat_history'].append(("User", query, "new"))
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loading_message = st.empty()
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loading_message.text('Bot is thinking...')
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# Clear the input field by setting the query variable to an empty string
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query = ""
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# Mark all messages as old after displaying
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st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]
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def display_chat_history(chat_history):
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