Update app.py

app.py

@@ -17,11 +17,12 @@ token=""
 repo_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
 emb = "sentence-transformers/all-mpnet-base-v2"
 hf = HuggingFaceEmbeddings(model_name=emb)
-db = Chroma()
+#db = Chroma()
 #db.persist()
 # Load the document, split it into chunks, embed each chunk and load it into the vector store.
 #raw_documents = TextLoader('state_of_the_union.txt').load()
 def embed_fn(inp):
+    db=Chroma()
     text_splitter = CharacterTextSplitter(chunk_size=200, chunk_overlap=10)
     documents = text_splitter.split_text(inp)
     out_emb= hf.embed_documents(documents)
@@ -58,6 +59,7 @@ def read_pdf(pdf_path):
         text = f'{text}\n{page.extract_text()}'
     return text
 def run_llm(input_text,history):
+    db=Chroma()
     MAX_TOKENS=20000
     try:
         qur= hf.embed_query(input_text)