get_ipython().system('pip install clarifai')


get_ipython().system('pip install dspy-ai')



import dspy
from dspy.retrieve.clarifai_rm import ClarifaiRM 



MODEL_URL = "https://clarifai.com/meta/Llama-2/models/llama2-70b-chat" 
PAT = "CLARIFAI_PAT"
USER_ID = "YOUR_ID"
APP_ID = "YOUR_APP"




from langchain.text_splitter import CharacterTextSplitter
from langchain.document_loaders import TextLoader
from langchain.vectorstores import Clarifai as clarifaivectorstore

loader = TextLoader("YOUR_TEXT_FILE") #replace with your file path
documents = loader.load()
text_splitter = CharacterTextSplitter(chunk_size=1024, chunk_overlap=200)
docs = text_splitter.split_documents(documents)

clarifai_vector_db = clarifaivectorstore.from_documents(
    user_id=USER_ID,
    app_id=APP_ID,
    documents=docs,
    pat=PAT
)




llm=
dspy.Clarifai(model=MODEL_URL, api_key=PAT, n=2, inference_params={"max_tokens":100,'temperature':0.6})