Update app.py

app.py

@@ -130,6 +130,8 @@ def get_vectorstore(text_chunks):
     """
     MODEL_NAME = "WhereIsAI/UAE-Large-V1"
     MODEL_NAME = "sentence-transformers/all-MiniLM-L6-v2"
+    MODEL_NAME = "avsolatorio/GIST-Embedding-v0"
+    
     hf_embeddings = HuggingFaceEmbeddings(model_name=MODEL_NAME)
     vectorstore = Chroma.from_documents(text_chunks, hf_embeddings, persist_directory="db")
     return vectorstore
@@ -145,13 +147,12 @@ def get_conversation_chain(vectorstore:FAISS) -> ConversationalRetrievalChain:
     #    #repo_id="TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF"
     #    model_kwargs={"temperature": 0.5, "max_length": 2096},#1048
     #)
-    #llm = HuggingFaceHub(
-    #    repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1",
-    #    model_kwargs={"temperature": 0.5, "max_new_tokens": 1024, "max_length": 1048, "top_k": 3, "trust_remote_code": True, "torch_dtype": "auto"},
-    #)
+    llm = HuggingFaceHub(
+        repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1",
+        model_kwargs={"temperature": 0.5, "max_new_tokens": 1024, "max_length": 1048, "top_k": 3, "trust_remote_code": True, "torch_dtype": "auto"},
+    )
     
-    llm = GPT4All("https://huggingface.co/TheBloke/Orca-2-13B-SFT_v5-GGUF/blob/main/orca-2-13b-sft_v5.Q6_K.gguf")
-    # llm = ChatOpenAI(temperature=0, model="gpt-3.5-turbo-0613")
+ 
 
 
     memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)