Update app.py

app.py

@@ -28,7 +28,8 @@ text_generation_pipeline = pipeline(
 llm = HuggingFacePipeline(pipeline=text_generation_pipeline)
 
 # Load and process documents
-loader = TextLoader("https://en.wikipedia.org/wiki/Cheetah")
+#loader = TextLoader("https://en.wikipedia.org/wiki/Cheetah")
+loader = TextLoader("https://en.wikipedia.org/wiki/Artificial_neuron")
 documents = loader.load()
 text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
 texts = text_splitter.split_documents(documents)
@@ -60,7 +61,8 @@ qa_chain = RetrievalQA.from_chain_type(
 )
 
 # Example query
-query = "How fast cheetah can run?"
+#query = "How fast cheetah can run?"
+query = "What is an artifical neuron?"
 result = qa_chain({"query": query})
 
 print("Question:", query)