Update app.py

app.py

@@ -58,26 +58,45 @@ def read_file_content(file):
 
 @cl.on_chat_start
 async def on_chat_start():
-    files = await cl.AskFileMessage(
-        content="Please upload PDF or TXT files to begin!",
-        accept=["application/pdf", "text/plain"],
-        max_files=5,
-        max_size_mb=20,
+    # First, ask if the user wants to upload files or paste text
+    choice = await cl.AskUserMessage(
+        content="Would you like to upload files or paste text?",
+        choices=["Upload Files", "Paste Text"]
     ).send()
 
-    if not files:
-        await cl.Message(content="No files were uploaded. Please try again.").send()
-        return
+    documents = []
 
-    msg = cl.Message(content="Processing files...")
-    await msg.send()
+    if choice == "Upload Files":
+        files = await cl.AskFileMessage(
+            content="Please upload PDF or TXT files to begin!",
+            accept=["application/pdf", "text/plain"],
+            max_files=5,
+            max_size_mb=20,
+        ).send()
+
+        if not files:
+            await cl.Message(content="No files were uploaded. Please try again.").send()
+            return
 
-    try:
-        documents = []
         for file in files:
             text = read_file_content(file)
             documents.append(Document(text=text, metadata={"filename": file.name}))
 
+    elif choice == "Paste Text":
+        pasted_text = await cl.AskUserMessage(
+            content="Please paste your document text here:"
+        ).send()
+
+        if not pasted_text:
+            await cl.Message(content="No text was pasted. Please try again.").send()
+            return
+
+        documents.append(Document(text=pasted_text, metadata={"source": "pasted_text"}))
+
+    msg = cl.Message(content="Processing input...")
+    await msg.send()
+
+    try:
         # Create index
         index = VectorStoreIndex.from_documents(
             documents, service_context=service_context