updated pom file

app.py

@@ -23,7 +23,7 @@ import pprint
 radioButtonList = ["E-commerce CSV (https://www.kaggle.com/datasets/mervemenekse/ecommerce-dataset)",
 "Upload my own CSV",
 "Upload my own PDF",
-"URL Chat with Google Alphabet's 2022 Q2 Earnings Report (https://tinyurl.com/sbdxyt3t)",
+"URL Chat with Google Alphabet's 2022 Q2 Earnings Report (https://tinyurl.com/f85wujsj)",
 "Enter my own URL"]
 genre = st.radio(
     "Choose dataset to finetune", radioButtonList, index=0
@@ -64,7 +64,7 @@ elif genre==radioButtonList[4]:
     pdfCSVURLText = "URL"
 
 isCustomURL = genre==radioButtonList[4]
-urlInput = st.text_input('Enter your own URL', '', placeholder="Type your URL here (e.g. https://tinyurl.com/sbdxyt3t)", disabled=not isCustomURL)
+urlInput = st.text_input('Enter your own URL', '', placeholder="Type your URL here (e.g. https://tinyurl.com/f85wujsj)", disabled=not isCustomURL)
 
 isCustomPDF = genre==radioButtonList[1] or genre==radioButtonList[2]
 uploaded_file = st.file_uploader(f"Upload your own {pdfCSVURLText} here", type=pdfCSVURLText.lower(), disabled=not isCustomPDF)
@@ -123,5 +123,15 @@ if st.button(chatWithPDFButton, disabled=not enableChatBox and not chatTextStr):
         st.write(answer)
 
     elif genre==radioButtonList[4]: # Custom URL
+        urls = [urlInput]
+        loader = [UnstructuredURLLoader(urls=urls)]
+        index = VectorstoreIndexCreator(
+                embedding=GooglePalmEmbeddings(),
+                text_splitter=CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)).from_loaders(loader)
+
+        chain = RetrievalQA.from_chain_type(llm=llm,
+                                    chain_type="stuff",
+                                    retriever=index.vectorstore.as_retriever(),
+                                    input_key="question")
         answer = chain.run(chatTextStr)
         st.write(answer)