Update 'Supportgpt/app.py'

This commit is contained in:
2024-01-08 04:57:52 +00:00
parent c5d5ea9a24
commit 7a6ec54ac4
+3 -3
View File
@@ -22,7 +22,7 @@ app = Flask(__name__)
from langchain.llms import CTransformers from langchain.llms import CTransformers
llm = CTransformers(model=r"C:\Aiproject\mainmodel\llama-2-7b-chat.ggmlv3.q8_0.bin",model_type="llama",temperature=0.1,gpu_layers=50,do_sample=True) llm = CTransformers(model=r"TheBloke/Llama-2-7B-Chat-GGML",model_type="llama",temperature=0.1,gpu_layers=50,do_sample=True)
# llm = CTransformers( # llm = CTransformers(
# model = r"C:\Aiproject\mistral\Mistral-7B-v0.1", # model = r"C:\Aiproject\mistral\Mistral-7B-v0.1",
@@ -60,10 +60,10 @@ llm = CTransformers(model=r"C:\Aiproject\mainmodel\llama-2-7b-chat.ggmlv3.q8_0.b
# Initialize instructor embeddings using the Hugging Face model # Initialize instructor embeddings using the Hugging Face model
instructor_embeddings = HuggingFaceInstructEmbeddings(model_name=r"C:\Aiproject\SupportGpt\model") instructor_embeddings = HuggingFaceInstructEmbeddings(model_name=r"sentence-transformers/all-MiniLM-L6-v2")
# Load the data from CSV # Load the data from CSV
loader = CSVLoader(file_path=r"C:\Aiproject\codebasics_faqs.csv", encoding='iso-8859-1', source_column="Question") loader = CSVLoader(file_path=r"./supportqa.csv", encoding='iso-8859-1', source_column="Question")
data = loader.load() data = loader.load()
text_splitter=RecursiveCharacterTextSplitter(chunk_size=500,chunk_overlap=50) text_splitter=RecursiveCharacterTextSplitter(chunk_size=500,chunk_overlap=50)
texts=text_splitter.split_documents(data) texts=text_splitter.split_documents(data)