update app.py

Changing the Interface of the web Remove the Data Web source.

app.py

@@ -11,8 +11,6 @@ from dotenv import load_dotenv
 
 load_dotenv()
 
-
-
 # Creating custom template to guide LLM model
 custom_template = """Given the following conversation and a follow-up question, rephrase the follow-up question to be a standalone question, in its original language.
 Chat History:
@@ -69,19 +67,16 @@ def get_conversationchain(vectorstore):
 
     def conversation_chain(inputs):
         question = inputs['question']
-        # Extract text content from Document objects
         documents = vectorstore.similarity_search(question, k=5)
 
-        # If no similar documents are found or similarity is too low
         if not documents:
             answer = "Sorry, I couldn't find relevant information in the document. Please ask a question related to the document."
             memory.save_context({"user_input": question}, {"answer": answer})
             return {"chat_history": memory.chat_memory.messages, "answer": answer}
 
-        context = "\n".join([doc.page_content for doc in documents])  # Extract `page_content` from each Document
+        context = "\n".join([doc.page_content for doc in documents])
         answer, score = qa_function(question, context)
 
-        # Define a threshold for confidence (e.g., 0.5)
         if score < 0.5:
             answer = "Sorry, I couldn't find relevant information in the document. Please ask a question related to the document."
 
@@ -127,51 +122,34 @@ def main():
     preview_folders = {subject: os.path.join(preview_folder, subject.replace(' ', '_')) for subject in subjects}
     selected_subject = st.sidebar.selectbox("Select a Subject:", subjects)
 
-    st.sidebar.info(f"You have selected: {selected_subject}")  # Display selected subject
-
-    # Option to upload documents or use preloaded subject data
-    use_preloaded = st.sidebar.radio("Select Data Source:", ("Use Preloaded Notes", "Upload Your Documents"))
-
-    if use_preloaded == "Use Preloaded Notes":
-        # Load preview content
-        preview_folder_path = preview_folders[selected_subject]
-        if os.path.exists(preview_folder_path):
-            preview_text = get_text_files_content(preview_folder_path)
-            st.subheader("Preview of Notes")
-            st.text_area("Preview Content:", preview_text, height=300, disabled=True)
-        else:
-            st.error(f"No preview available for {selected_subject}.")
-
-        # Process data folder for question answering
-        subject_folder_path = subject_folders[selected_subject]
-        if os.path.exists(subject_folder_path):
-            raw_text = get_text_files_content(subject_folder_path)
-            if raw_text:
-                text_chunks = get_chunks(raw_text)
-                vectorstore = get_vectorstore(text_chunks)
-                st.session_state.conversation = get_conversationchain(vectorstore)
-            else:
-                st.error("Could not load the content for question answering.")
+    st.sidebar.info(f"You have selected: {selected_subject}")
+
+    # Load preview content
+    preview_folder_path = preview_folders[selected_subject]
+    if os.path.exists(preview_folder_path):
+        preview_text = get_text_files_content(preview_folder_path)
+        st.subheader("Preview of Notes")
+        st.text_area("Preview Content:", preview_text, height=300, disabled=True)
+    else:
+        st.error(f"No preview available for {selected_subject}.")
+
+    # Process data folder for question answering
+    subject_folder_path = subject_folders[selected_subject]
+    if os.path.exists(subject_folder_path):
+        raw_text = get_text_files_content(subject_folder_path)
+        if raw_text:
+            text_chunks = get_chunks(raw_text)
+            vectorstore = get_vectorstore(text_chunks)
+            st.session_state.conversation = get_conversationchain(vectorstore)
         else:
-            st.error(f"No data available for {selected_subject}.")
-
-    else:  # Upload documents option
-        docs = st.sidebar.file_uploader("Upload your text files here:", accept_multiple_files=True, type=['txt'])
-        if docs:
-            st.sidebar.info(f"Uploaded {len(docs)} file(s).")
-            if st.sidebar.button("Process"):
-                with st.spinner("Processing uploaded documents..."):
-                    raw_text = "".join([doc.read().decode('utf-8') for doc in docs])
-                    st.subheader("Uploaded Notes Preview")
-                    st.text_area("Preview Content:", raw_text, height=300, disabled=True)
-                    text_chunks = get_chunks(raw_text)
-                    vectorstore = get_vectorstore(text_chunks)
-                    st.session_state.conversation = get_conversationchain(vectorstore)
+            st.error("Could not load the content for question answering.")
+    else:
+        st.error(f"No data available for {selected_subject}.")
 
     # Chat interface
     question = st.text_input("Ask a question about your selected subject:")
     if question and st.session_state.conversation:
-        st.write(f"**Subject:** {selected_subject}")  # Display subject before chat
+        st.write(f"**Subject:** {selected_subject}")
         handle_question(question)
     elif question:
         st.warning("Please process a document before asking a question.")