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import gradio as gr | |
from langchain.embeddings.openai import OpenAIEmbeddings | |
from langchain.chat_models import ChatOpenAI | |
from langchain.chains import ConversationalRetrievalChain | |
from langchain.vectorstores import FAISS | |
from langchain.document_loaders.csv_loader import CSVLoader | |
def conversational_chat(query, lang_model_key, file_upload): | |
global chain, session_history | |
if file_upload is not None: | |
# Loading the CSV file | |
loader = CSVLoader(file_path=file_upload, encoding="utf-8") | |
data = loader.load() | |
# Initializing embeddings and vectors | |
embeddings = OpenAIEmbeddings(openai_api_key=lang_model_key) | |
vectors = FAISS.from_documents(data, embeddings) | |
# Creating the ConversationalRetrievalChain | |
chain = ConversationalRetrievalChain.from_llm(llm=ChatOpenAI(temperature=0.0, model_name='gpt-4', openai_api_key=lang_model_key), | |
retriever=vectors.as_retriever()) | |
session_history = [] | |
result = chain({"question": query, "chat_history": session_history}) | |
session_history.append((query, result["answer"])) | |
return result["answer"] | |
iface = gr.Interface(fn=conversational_chat, | |
inputs=[gr.Textbox(label="Query", lines=7), | |
gr.Textbox(label="Your OpenAI API key:", type="password"), | |
gr.File(label="Upload your CSV file:", type="binary")], | |
outputs="text", | |
title="Conversational CSV Chat: Please upload your file and set your API Key in order to use the functionalities", | |
) | |
iface.launch() |