Update app.py

app.py

@@ -12,18 +12,27 @@ 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.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
+
+
 # Add this function to handle button clicks
 def on_button_click(query):
     st.session_state['button_clicked'] = query
 
 
 
-def display_chat_history(chat_history):
-    for sender, msg, _ in chat_history:
-        background_color = "#FFA07A" if sender == "User" else "#caf"
-        st.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{sender}: {msg}</div>", unsafe_allow_html=True)
-
-
 
 
 def cloud_button(label, query, key=None, color=None, overlap=30):
@@ -96,19 +105,13 @@ def cloud_button(label, query, key=None, color=None, overlap=30):
     """
     st.markdown(cloud_button_html, unsafe_allow_html=True)
 
-# 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
+def display_chat_history(chat_history):
+    for sender, msg, _ in chat_history:
+        background_color = "#FFA07A" if sender == "User" else "#caf"
+        st.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{sender}: {msg}</div>", unsafe_allow_html=True)
+
+
 
 with st.sidebar:
     st.title('BinDoc GmbH')
@@ -167,17 +170,15 @@ def load_chatbot():
 
 def main():
     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! 🤖")
 
-    # 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.")
@@ -186,35 +187,37 @@ def main():
     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'])
-    display_chat_history(st.session_state['chat_history'])
 
-    query = st.text_input("Ask questions about your PDF file (in any preferred language):")
-
-    # Define your cloud buttons with associated queries
-    cloud_buttons = [
-        ("Was genau ist ein Belegarzt?", "Was genau ist ein Belegarzt?"),
-        ("Wofür wird die Alpha-ID verwendet?", "Wofür wird die Alpha-ID verwendet?"),
-        # Add more buttons as needed
-    ]
-
-    # Create cloud buttons
-    button_clicked = False
-    for label, button_query in cloud_buttons:
-        if st.button(label):
-            st.session_state['chat_history'].append(("User", button_query, "new"))
-            query = button_query
-            button_clicked = True
-
-    if st.button("Ask") or button_clicked:
-        if query:
+    st.write("<!-- Start Spacer -->", unsafe_allow_html=True)
+    st.write("<div style='flex: 1;'></div>", unsafe_allow_html=True)
+    st.write("<!-- End Spacer -->", unsafe_allow_html=True)
+
+    if pdf_path is not None:
+        query = st.text_input("Ask questions about your PDF file (in any preferred language):")
+
+        cloud_buttons = [
+            ("Was genau ist ein Belegarzt?", "Was genau ist ein Belegarzt?", "1"),
+            ("Wofür wird die Alpha-ID verwendet?", "Wofür wird die Alpha-ID verwendet?", "2"),
+            # Add more buttons as needed
+        ]
+
+        for label, query, color in cloud_buttons:
+            cloud_button(label, query, color=color)
+
+        if st.session_state['button_clicked']:
+            query = st.session_state['button_clicked']['query']
+            st.session_state['chat_history'].append(("User", query, "new"))
+            st.session_state['button_clicked'] = None
+            
+        if st.button("Ask") or (query and query != st.session_state.get('last_query')):
             st.session_state['chat_history'].append(("User", query, "new"))
+            st.session_state['last_query'] = query
+
+        if st.session_state['chat_history']:
             loading_message = st.empty()
             loading_message.text('Bot is thinking...')
 
@@ -225,10 +228,17 @@ def main():
                 response = chain.run(input_documents=docs, question=query)
 
             st.session_state['chat_history'].append(("Bot", response, "new"))
+
+            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"
+                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)
+
+            st.write("<script>document.getElementById('response').scrollIntoView();</script>", unsafe_allow_html=True)
+
             loading_message.empty()
-            query = ""
 
-    st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]
+        st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]
 
 if __name__ == "__main__":
-    main()
+    main()