Update app.py

app.py

@@ -183,19 +183,19 @@ def file_Upload():
         
         print("All chunk List END ***********************\n\n")
         
-        #embeddings = OpenAIEmbeddings()
+        embeddings = OpenAIEmbeddings()
         #from langchain.embeddings.sentence_transformer import SentenceTransformerEmbeddings
         #embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
-        from langchain.embeddings import HuggingFaceEmbeddings
-
-        model_name = "sentence-transformers/all-MiniLM-L6-v2"
-        model_kwargs = {'device': 'cpu'}
-        encode_kwargs = {'normalize_embeddings': False}
-        embeddings = HuggingFaceEmbeddings(
-            model_name=model_name,
-            model_kwargs=model_kwargs,
-            encode_kwargs=encode_kwargs
-        )
+        # from langchain.embeddings import HuggingFaceEmbeddings
+
+        # model_name = "sentence-transformers/all-MiniLM-L6-v2"
+        # model_kwargs = {'device': 'cpu'}
+        # encode_kwargs = {'normalize_embeddings': False}
+        # embeddings = HuggingFaceEmbeddings(
+        #     model_name=model_name,
+        #     model_kwargs=model_kwargs,
+        #     encode_kwargs=encode_kwargs
+        # )
         global vectordb
         #vectordb = Chroma.from_documents(texts,embeddings)
         vectordb=Chroma.from_documents(documents=texts, embedding=embeddings, collection_metadata={"hnsw:space": "cosine"})