Update app.py

app.py

@@ -1,27 +1,17 @@
 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
-)
-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, color=None, overlap=30):
     button_id = f"cloud-button-{key or label}"
@@ -99,11 +89,43 @@ def cloud_button(label, key=None, color=None, overlap=30):
 
 
 
-# Example usage with a specified overlap value
-cloud_button("Short Text", color="1", overlap=30)
-cloud_button("This is a longer piece of text", color="2", overlap=30)
-cloud_button("This is an even longer piece of text to test the cloud button", color="3", overlap=30)
 
+# 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.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
+
+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):
@@ -132,58 +154,37 @@ def load_pdf(file_path):
 
     return VectorStore
 
+
+
 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)
-
 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>
-        #MainMenu {visibility: hidden;}
-        footer {visibility: hidden;}
-        </style>
-    """
+            <style>
+            #MainMenu {visibility: hidden;}
+            footer {visibility: hidden;}
+            </style>
+            """
     st.markdown(hide_streamlit_style, unsafe_allow_html=True)
 
+
     # Main content
     st.title("Welcome to BinDocs ChatBot! 🤖")
-
-
-
-
-    pdf_path = "path_to_your_pdf_file.pdf"  # Update this to the path of your PDF file
+    
+    # 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.")
         return
 
     if "chat_history" not in st.session_state:
         st.session_state['chat_history'] = []
+        
+    if "button_clicked" not in st.session_state:
+        st.session_state['button_clicked'] = None
+
 
     display_chat_history(st.session_state['chat_history'])
 
@@ -195,24 +196,57 @@ def main():
 
     if pdf_path is not None:
         query = st.text_input("Ask questions about your PDF file (in any preferred language):")
+
+        cloud_button("Was genau ist ein Belegarzt?", key="button1", color="1")
+        cloud_button("Wofür wird die Alpha-ID verwendet?", key="button2", color="2")
+        cloud_button("Was sind die Vorteile des ambulanten operierens?", key="button3", color="3")
+        cloud_button("Was kann ich mit dem Prognose-Analyse Toll machen?", key="button4", color="4")
+        cloud_button("Was sagt mir die Farbe der Balken der Bevölkerungsentwicklung?", key="button5", color="5")
+        cloud_button("Ich habe mein Meta Password vergessen, wie kann ich es zurücksetzen?", key="button6", color="6")
+
+            # Handle button clicks
+        if st.session_state['button_clicked']:
+            query = st.session_state['button_clicked']
+            st.session_state['button_clicked'] = None
         
+            
         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...')
+
             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']]
 
+
+
+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()