Update app.py
Browse files
app.py
CHANGED
@@ -1,5 +1,28 @@
|
|
1 |
-
|
2 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
from langchain_community.embeddings import HuggingFaceEmbeddings
|
4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
gr.load("models/HuggingFaceH4/zephyr-7b-beta").launch()
|
|
|
1 |
+
from langchain.document_loaders import PyPDFLoader
|
2 |
+
loader = PyPDFLoader("Test/blob/main/Footcare.pdf")
|
3 |
+
pages = loader.load()
|
4 |
+
|
5 |
+
|
6 |
+
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
7 |
+
splitter = RecursiveCharacterTextSplitter(chunk_size=512, chunk_overlap=30)
|
8 |
+
docs = splitter.split_documents(pages)
|
9 |
+
|
10 |
+
|
11 |
from langchain_community.embeddings import HuggingFaceEmbeddings
|
12 |
+
embedding_model = HuggingFaceEmbedding(model_name="all-MiniLM-L6-v2")
|
13 |
+
embeddings = model.encode(docs)
|
14 |
+
|
15 |
+
|
16 |
+
from langchain.vectorstores import Chroma
|
17 |
+
persist_directory = 'docs/chroma/'
|
18 |
+
vectordb = Chroma.from_documents(
|
19 |
+
documents=docs,
|
20 |
+
embedding=embedding,
|
21 |
+
persist_directory=persist_directory
|
22 |
+
)
|
23 |
+
|
24 |
+
|
25 |
+
retriever = vectordb.as_retriever()
|
26 |
+
import gradio as gr
|
27 |
+
import gradio as gr
|
28 |
gr.load("models/HuggingFaceH4/zephyr-7b-beta").launch()
|