Merge branch 'main' into custom-llm

application/app.py

@@ -5,6 +5,7 @@ import datetime
 from flask import Flask, request, render_template
 # os.environ["LANGCHAIN_HANDLER"] = "langchain"
 import faiss
+
 from langchain import FAISS
 from langchain import OpenAI, VectorDBQA, HuggingFaceHub, Cohere
 from langchain.chains.question_answering import load_qa_chain
@@ -77,6 +78,7 @@ def api_answer():
     c_prompt = PromptTemplate(input_variables=["summaries", "question"], template=template)
     # create a chain with the prompt template and the store
 
+
     #llm = ManifestWrapper(client=manifest, llm_kwargs={"temperature": 0.001, "max_tokens": 2048})
     llm = OpenAI(openai_api_key=api_key, temperature=0)
     #llm = HuggingFaceHub(repo_id="bigscience/bloom", huggingfacehub_api_token=api_key)