Update app.py

app.py

@@ -0,0 +1,32 @@
+import nest_asyncio
+nest_asyncio.apply()
+
+articles = ["https://www.fantasypros.com/2023/11/rival-fantasy-nfl-week-10/",
+            "https://www.fantasypros.com/2023/11/5-stats-to-know-before-setting-your-fantasy-lineup-week-10/",
+            "https://www.fantasypros.com/2023/11/nfl-week-10-sleeper-picks-player-predictions-2023/",
+            "https://www.fantasypros.com/2023/11/nfl-dfs-week-10-stacking-advice-picks-2023-fantasy-football/",
+            "https://www.fantasypros.com/2023/11/players-to-buy-low-sell-high-trade-advice-2023-fantasy-football/"]
+
+# Scrapes the blogs above
+loader = AsyncChromiumLoader(articles)
+docs = loader.load()
+
+# Converts HTML to plain text 
+html2text = Html2TextTransformer()
+docs_transformed = html2text.transform_documents(docs)
+
+# Chunk text
+text_splitter = CharacterTextSplitter(chunk_size=100, 
+                                      chunk_overlap=0)
+chunked_documents = text_splitter.split_documents(docs_transformed)
+
+# Load chunked documents into the FAISS index
+db = FAISS.from_documents(chunked_documents, 
+                          HuggingFaceEmbeddings(model_name='sentence-transformers/all-mpnet-base-v2'))
+
+
+# Connect query to FAISS index using a retriever
+retriever = db.as_retriever(
+    search_type="similarity",
+    search_kwargs={'k': 4}
+)