Update app.py

app.py

@@ -20,17 +20,22 @@ with st.sidebar:
 
     st.markdown("**BinDocs Chat App**.")
 
+        
     st.markdown("Harnessing the power of a Large Language Model and AI technology,")
+       
+
+
     st.markdown("this innovative platform redefines PDF engagement,")
 
     st.markdown("enabling dynamic conversations that bridge the gap between")
     st.markdown("human and machine intelligence.")
 
+    
+    
     add_vertical_space(3)  # Add more vertical space between text blocks
     st.write('Made with ❤️ by Anne')
 
-openai_api_key = st.text_input("Enter your OpenAI API key:")
-pdf_path = None  # Initialize pdf_path as None
+load_dotenv()
 
 def load_pdf(file_path):
     pdf_reader = PdfReader(file_path)
@@ -45,7 +50,7 @@ def load_pdf(file_path):
     )
     chunks = text_splitter.split_text(text=text)
 
-    store_name, _ = os.path.splitext(os.path.basename(file_path))
+    store_name = file_path.name[:-4]
 
     if os.path.exists(f"{store_name}.pkl"):
         with open(f"{store_name}.pkl", "rb") as f:
@@ -58,71 +63,58 @@ def load_pdf(file_path):
 
     return VectorStore
 
-
-def load_chatbot(openai_api_key):
-    openai_config = {
-        "api_key": openai_api_key
-    }
-    return load_qa_chain(llm=OpenAI(config=openai_config), chain_type="stuff")
-
+def load_chatbot():
+    return load_qa_chain(llm=OpenAI(), chain_type="stuff")
 
 def main():
     st.title("BinDocs Chat App")
 
-
-    uploaded_pdf = st.file_uploader("Upload a PDF file:", type=["pdf"])
-
-    if uploaded_pdf is not None:
-        pdf_path = uploaded_pdf
-
+    pdf = st.file_uploader("Upload your PDF", type="pdf")
 
     if "chat_history" not in st.session_state:
         st.session_state['chat_history'] = []
 
+    if "current_input" not in st.session_state:
+        st.session_state['current_input'] = ""
+
+    if "processing_input" not in st.session_state:
+        st.session_state['processing_input'] = ""
+
     display_chat_history(st.session_state['chat_history'])
 
     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)
 
-    new_messages_placeholder = st.empty()
+    if pdf is not None:
+        query = st.text_input("Ask questions about your PDF file (in any preferred language):", value=st.session_state['current_input'])
 
-    if pdf_path is not None:
-        query = st.text_input("Ask questions about your PDF file (in any preferred language):")
+        if query != st.session_state['current_input']:
+            st.session_state['current_input'] = query
 
-        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"))
+        if st.button("Ask"):
+            st.session_state['processing_input'] = st.session_state['current_input']
+            st.session_state['chat_history'].append(("User", st.session_state['processing_input'], "new"))
 
             loading_message = st.empty()
             loading_message.text('Bot is thinking...')
 
-            VectorStore = load_pdf(pdf_path)
+            VectorStore = load_pdf(pdf)
             chain = load_chatbot()
-            docs = VectorStore.similarity_search(query=query, k=3)
+            docs = VectorStore.similarity_search(query=st.session_state['processing_input'], k=3)
             with get_openai_callback() as cb:
-                response = chain.run(input_documents=docs, question=query)
-
-            st.session_state['chat_history'].append(("Bot", response, "new"))
+                response = chain.run(input_documents=docs, question=st.session_state['processing_input'])
 
-            # 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
+            # Display the bot's response immediately using JavaScript
+            st.write(f"<div id='response' style='background-color: #caf; padding: 10px; border-radius: 10px; margin: 10px;'>Bot: {response}</div>", unsafe_allow_html=True)
             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"
@@ -130,4 +122,3 @@ def display_chat_history(chat_history):
 
 if __name__ == "__main__":
     main()
-