Spaces:
Runtime error
Runtime error
Commit
·
dc3eee7
1
Parent(s):
3e7232c
Update app.py
Browse files
app.py
CHANGED
|
@@ -14,30 +14,26 @@ from langchain.memory import ConversationBufferMemory
|
|
| 14 |
from langchain.prompts import PromptTemplate
|
| 15 |
|
| 16 |
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
| 17 |
-
from langchain.document_loaders import RecursiveUrlLoader
|
| 18 |
from langchain.chains import RetrievalQA
|
| 19 |
|
| 20 |
os.environ["HUGGINGFACEHUB_API_TOKEN"] = "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"
|
| 21 |
embedding = HuggingFaceHubEmbeddings()
|
| 22 |
|
| 23 |
url = "https://www.whiteslide.co.za/team/"
|
| 24 |
-
loader = RecursiveUrlLoader(url=url, max_depth=1)
|
|
|
|
| 25 |
loaders = []
|
| 26 |
|
|
|
|
| 27 |
loaders.append(loader)
|
| 28 |
|
| 29 |
docs = []
|
| 30 |
for l in loaders:
|
| 31 |
docs.extend(l.load())
|
| 32 |
-
text_splitter = RecursiveCharacterTextSplitter(chunk_size=
|
| 33 |
docs = text_splitter.split_documents(docs)
|
| 34 |
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
# text_splitter=RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
|
| 39 |
-
# all_splits = text_splitter.split_documents(data)
|
| 40 |
-
|
| 41 |
vectorstore = Chroma.from_documents(documents=docs, embedding=embedding)
|
| 42 |
|
| 43 |
|
|
|
|
| 14 |
from langchain.prompts import PromptTemplate
|
| 15 |
|
| 16 |
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
| 17 |
+
from langchain.document_loaders import RecursiveUrlLoader, WebBaseLoader
|
| 18 |
from langchain.chains import RetrievalQA
|
| 19 |
|
| 20 |
os.environ["HUGGINGFACEHUB_API_TOKEN"] = "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"
|
| 21 |
embedding = HuggingFaceHubEmbeddings()
|
| 22 |
|
| 23 |
url = "https://www.whiteslide.co.za/team/"
|
| 24 |
+
# loader = RecursiveUrlLoader(url=url, max_depth=1)
|
| 25 |
+
loader = WebBaseLoader(url)
|
| 26 |
loaders = []
|
| 27 |
|
| 28 |
+
|
| 29 |
loaders.append(loader)
|
| 30 |
|
| 31 |
docs = []
|
| 32 |
for l in loaders:
|
| 33 |
docs.extend(l.load())
|
| 34 |
+
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=0)
|
| 35 |
docs = text_splitter.split_documents(docs)
|
| 36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
vectorstore = Chroma.from_documents(documents=docs, embedding=embedding)
|
| 38 |
|
| 39 |
|