Update app.py

app.py

@@ -1,114 +1,55 @@
 import streamlit as st
-import os
+from dotenv import load_dotenv
 import pickle
-from streamlit_extras.add_vertical_space import add_vertical_space
 from huggingface_hub import Repository
 from PyPDF2 import PdfReader
+from streamlit_extras.add_vertical_space import add_vertical_space
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.embeddings.openai import OpenAIEmbeddings
 from langchain.vectorstores import FAISS
 from langchain.llms import OpenAI
 from langchain.chains.question_answering import load_qa_chain
 from langchain.callbacks import get_openai_callback
+import os
 
 # Step 1: Clone the Dataset Repository
 repo = Repository(
     local_dir="Private_Book",  # Local directory to clone the repository
     repo_type="dataset",  # Specify that this is a dataset repository
+    
     clone_from="Anne31415/Private_Book",  # Replace with your repository URL
-    token=os.getenv("HUB_TOKEN")  # Use the secret token to authenticate
+    
+    token=os.environ["HUB_TOKEN"]  # Use the secret token to authenticate
 )
 repo.git_pull()  # Pull the latest changes (if any)
 
 # Step 2: Load the PDF File
 pdf_file_path = "Private_Book/KOMBI_all2.pdf"  # Replace with your PDF file path
 
-def cloud_button(label, key=None):
-    button_id = f"cloud-button-{key or label}"
-    cloud_button_html = f"""
-    <div class="cloud" id="{button_id}">
-        <div class="circle small"></div>
-        <div class="circle medium"></div>
-        <div class="circle large"></div>
-        <div class="rectangle">{label}</div>
-        <div class="circle medium"></div>
-        <div class="circle small"></div>
-    </div>
-    <style>
-        .cloud {{
-            position: relative;
-            display: inline-block;
-            cursor: pointer;
-            user-select: none;
-        }}
-        .rectangle {{
-            width: 120px;
-            height: 60px;
-            background-color: white;
-            border-radius: 30px;
-            position: absolute;
-            top: 20px;
-            left: 10px;
-            display: flex;
-            align-items: center;
-            justify-content: center;
-            font-size: 16px;
-            font-weight: bold;
-            transition: background-color 0.4s;
-        }}
-        .circle {{
-            position: absolute;
-            background-color: white;
-        }}
-        .circle.small {{
-            width: 40px;
-            height: 40px;
-            border-radius: 20px;
-            top: 10px;
-            left: 50px;
-        }}
-        .circle.medium {{
-            width: 60px;
-            height: 60px;
-            border-radius: 30px;
-        }}
-        .circle.large {{
-            width: 80px;
-            height: 80px;
-            border-radius: 40px;
-            top: -10px;
-            left: 40px;
-        }}
-        .cloud:hover .rectangle {{
-            background-color: #008CBA;
-            color: white;
-        }}
-    </style>
-    <script>
-        document.getElementById("{button_id}").onclick = function() {{
-            google.script.run.withSuccessHandler(function(e) {{
-                document.getElementById("{button_id}").innerText = e;
-            }}).getCloudButtonValue("{label}");
-        }};
-    </script>
-    """
-    return cloud_button_html
-
-def spaced_cloud_button(label):
-    button_id = f"cloud-button-{label}"
-    cloud_button_html = f"""
-    <div style="padding: 10px 10px 10px 0;">
-    """
-    cloud_button_html += cloud_button(label)
-    cloud_button_html += """
-    </div>
-    """
-    st.markdown(cloud_button_html, unsafe_allow_html=True)
-    if st.session_state.get(button_id, False):
-        return True
-    return False
 
+
+with st.sidebar:
+    st.title('BinDoc GmbH')
+    st.markdown("Experience revolutionary interaction with BinDocs Chat App, leveraging state-of-the-art AI technology.")
+    
+    add_vertical_space(1)  # Adjust as per the desired spacing
+    
+    st.markdown("""
+    Hello! I’m here to assist you with:<br><br>
+    📘 **Glossary Inquiries:**<br>
+    I can clarify terms like "DiGA", "AOP", or "BfArM", providing clear and concise explanations to help you understand our content better.<br><br>
+    🆘 **Help Page Navigation:**<br>
+    Ask me if you forgot your password or want to know more about topics related to the platform.<br><br>
+    📰 **Latest Whitepapers Insights:**<br>
+    Curious about our recent publications? Feel free to ask about our latest whitepapers!<br><br>
+    """, unsafe_allow_html=True)
     
+    add_vertical_space(1)  # Adjust as per the desired spacing
+
+    st.write('Made with ❤️ by BinDoc GmbH')
+
+    api_key = os.getenv("OPENAI_API_KEY")
+    # Retrieve the API key from st.secrets
 
 
 def load_pdf(file_path):
@@ -137,34 +78,20 @@ def load_pdf(file_path):
 
     return VectorStore
 
+# Load the PDF file when the app starts
+if "pdf_data" not in st.session_state:
+    st.session_state.pdf_data = load_pdf(pdf_file_path)
+
+
+
 def load_chatbot():
     return load_qa_chain(llm=OpenAI(), chain_type="stuff")
 
-def display_chat_history(chat_history):
-    for chat in chat_history:
-        background_color = "#FFA07A" if chat[2] == "new" else "#acf" if chat[0] == "User" else "#caf"
-        st.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
+# Load the chatbot when the app starts
+if "chatbot_instance" not in st.session_state:
+    st.session_state.chatbot_instance = load_chatbot()
 
 def main():
-    with st.sidebar:
-        st.title('BinDoc GmbH')
-        st.markdown("Experience revolutionary interaction with BinDocs Chat App, leveraging state-of-the-art AI technology.")
-        
-        add_vertical_space(1)  # Adjust as per the desired spacing
-        
-        st.markdown("""
-        Hello! I’m here to assist you with:<br><br>
-        📘 **Glossary Inquiries:**<br>
-        I can clarify terms like "DiGA", "AOP", or "BfArM", providing clear and concise explanations to help you understand our content better.<br><br>
-        🆘 **Help Page Navigation:**<br>
-        Ask me if you forgot your password or want to know more about topics related to the platform.<br><br>
-        📰 **Latest Whitepapers Insights:**<br>
-        Curious about our recent publications? Feel free to ask about our latest whitepapers!<br><br>
-        """, unsafe_allow_html=True)
-        
-        add_vertical_space(1)  # Adjust as per the desired spacing
-        st.write('Made with ❤️ by BinDoc GmbH')
-        api_key = os.getenv("OPENAI_API_KEY")
 
     hide_streamlit_style = """
             <style>
@@ -174,8 +101,11 @@ def main():
             """
     st.markdown(hide_streamlit_style, unsafe_allow_html=True)
 
+
     # Main content
     st.title("Welcome to BinDocs ChatBot! 🤖")
+    
+    # Directly specifying the path to the PDF file
     pdf_path = pdf_file_path
     if not os.path.exists(pdf_path):
         st.error("File not found. Please check the file path.")
@@ -195,33 +125,63 @@ def main():
     if pdf_path is not None:
         query = st.text_input("Ask questions about your PDF file (in any preferred language):")
 
-
-        if spaced_cloud_button("Was genau ist ein Belegarzt?"):
+        if st.button("Was genau ist ein Belegarzt?"):
             query = "Was genau ist ein Belegarzt?"
-
-        if spaced_cloud_button("Test, test test ?"):
-            query = "Was genau ist ein Test test test ?"    
-
-        
-
+        if st.button("Wofür wird die Alpha-ID verwendet?"):
+            query = "Wofür wird die Alpha-ID verwendet?"
+        if st.button("Was sind die Vorteile des ambulanten operierens?"):
+            query = "Was sind die Vorteile des ambulanten operierens?"
+        if st.button("Was kann ich mit dem Prognose-Analyse Toll machen?"):
+            query = "Was kann ich mit dem Prognose-Analyse Toll machen?"
+        if st.button("Was sagt mir die Farbe der Balken der Bevölkerungsentwicklung?"):
+            query = "Was sagt mir die Farbe der Balken der Bevölkerungsentwicklung?"
+        if st.button("Ich habe mein Meta Password vergessen, wie kann ich es zurücksetzen?"):
+            query = ("Ich habe mein Meta Password vergessen, wie kann ich es zurücksetzen?")
+
+            
         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]):
             st.session_state['chat_history'].append(("User", query, "new"))
+
             loading_message = st.empty()
             loading_message.text('Bot is thinking...')
+
+            # Use the chatbot and PDF data from the session state
+            docs = st.session_state.pdf_data.similarity_search(query=query, k=3)
+            with get_openai_callback() as cb:
+                response = st.session_state.chatbot_instance.run(input_documents=docs, question=query)
+
+
             VectorStore = load_pdf(pdf_path)
             chain = load_chatbot()
             docs = VectorStore.similarity_search(query=query, k=3)
-            response = chain.run(input_documents=docs, question=query)
+            with get_openai_callback() as cb:
+                response = chain.run(input_documents=docs, question=query)
+
             st.session_state['chat_history'].append(("Bot", response, "new"))
+
+            # Display new messages at the bottom
             new_messages = st.session_state['chat_history'][-2:]
             for chat in new_messages:
                 background_color = "#FFA07A" if chat[2] == "new" else "#acf" if chat[0] == "User" else "#caf"
                 new_messages_placeholder.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
+
+            # Scroll to the latest response using JavaScript
             st.write("<script>document.getElementById('response').scrollIntoView();</script>", unsafe_allow_html=True)
+
             loading_message.empty()
+
+            # Clear the input field by setting the query variable to an empty string
             query = ""
+
+        # Mark all messages as old after displaying
         st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]
 
-if __name__ == "__main__":
-    main()
 
+
+def display_chat_history(chat_history):
+    for chat in chat_history:
+        background_color = "#FFA07A" if chat[2] == "new" else "#acf" if chat[0] == "User" else "#caf"
+        st.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
+
+if __name__ == "__main__":
+    main()