updated files display

app.py

@@ -22,6 +22,7 @@ import streamlit_authenticator as stauth
 import pickle
 
 from streamlit_modal import Modal
+import numpy as np
 
 
 
@@ -39,10 +40,11 @@ DISABLE_FILE_UPLOAD = bool(os.getenv("DISABLE_FILE_UPLOAD"))
 def show_documents_list(retrieved_documents):
     data = []
     for i, document in enumerate(retrieved_documents):
-        data.append([document.id, document.meta['name']])
-    df = pd.DataFrame(data, columns=['Document ID', 'Uploaded Document Name'])
-    df.drop_duplicates(subset=['Document ID'], inplace=True)
-    return df[['Uploaded Document Name']]
+        data.append([document.meta['name']])
+    df = pd.DataFrame(data, columns=['Uploaded Document Name'])
+    df.drop_duplicates(subset=['Uploaded Document Name'], inplace=True)
+    df.index = np.arange(1, len(df) + 1)
+    return df
 
 # Define a function to handle file uploads
 def upload_files():
@@ -153,8 +155,8 @@ try:
 
         set_initial_state()
 
-        modal = Modal("Upload Files", key="demo-modal")
-        open_modal = st.sidebar.button("Upload Files")
+        modal = Modal("Manage Files", key="demo-modal")
+        open_modal = st.sidebar.button("Manage Files", use_container_width=True)
         if open_modal:
             modal.open()
 
@@ -177,7 +179,7 @@ try:
            # upload_container.button('Upload Files', on_click=upload_document, args=())
 
         # Button to reset the documents in DocumentStore
-        st.sidebar.button("Reset documents", on_click=reset_documents, args=())
+        st.sidebar.button("Reset documents", on_click=reset_documents, args=(), use_container_width=True)
 
         if "question" not in st.session_state:
             st.session_state.question = ""

utils/config.py

@@ -8,7 +8,7 @@ parser = argparse.ArgumentParser(description='This app lists animals')
 
 document_store_choices = ('inmemory', 'weaviate', 'milvus', 'opensearch')
 parser.add_argument('--store', choices=document_store_choices, default='inmemory', help='DocumentStore selection (default: %(default)s)')
-parser.add_argument('--name', default="My Search App")
+parser.add_argument('--name', default="Document Insights: Extractive & Generative Methods")
 
 model_configs = {
     'EMBEDDING_MODEL': os.getenv("EMBEDDING_MODEL", "sentence-transformers/all-MiniLM-L12-v2"),