Discussion on "Building an Interactive Chatbot with Langchain, ChatGPT, Pinecone, and Streamlit"

Pradip Nichite · 2023-05-21T15:34:02.138Z

Introduction In the era of digital communication, chatbots have emerged as a powerful tool for businesses, organizations, and users alike. From handling customer service inquiries to providing interactive experiences, these AI-powered platforms are t...

hello, its nice to see your chatbot video on youtube

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Pradip Nichite

ValueError: variable history should be a list of base messages.

Can you please help with it?

ValueError: variable history should be a list of base messages, got

I get this error when I try to run the code . Anyone else getting this error ? How do I resolve it ?

I got same error, working on it, if i find a solution share with you :)

conversation_summary = ConversationChain( llm=llm, memory=ConversationBufferWindowMemory(k=10, return_messages=True), prompt=prompt_template, verbose=True )

update this line, it resolved my issue.

i am also using ai chat for developing apk games. it works effectively

I am getting the below error when main.py file

KeyError: 'st.session_state has no key "responses". Did you forget to initialize it?

Can anyone please help me rectify this?

Did you resolve this issue Parna Mishra

Amazing work! Hope to integrate into real-time customised products.

is it possible using faiss instead of pinecone?

With regards to the pinecone db: will openai get and store your data or will it be private?

How to connect indexing.py file with main.py in streamlit. I am getting an error, can you please help me.

i run the indexing.py file with the terminal and the pinecone write in the file

When I Run indexing.py file with the terminal This is Code indexing.py

from langchain.document_loaders import DirectoryLoader from langchain.text_splitter import RecursiveCharacterTextSplitter import os

directory = '/data/SwiftProgrammingLanguage.pdf'

def load_docs(directory): loader = DirectoryLoader(directory) documents = loader.load() return documents

documents = load_docs(directory) len(documents)

def split_docs(documents,chunk_size=500,chunk_overlap=20): text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap) docs = text_splitter.split_documents(documents) return docs

docs = split_docs(documents) print(len(docs))

**when I run python3 indexing.py Getting error

python3 indexing.py

/Users/sarit.bahuguna/ai_chatbot/data/SwiftProgrammingLanguage.pdf

[nltk_data] Error loading punkt: <urlopen error [Errno 60] Operation

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Building an Interactive Chatbot with Langchain, ChatGPT, Pinecone, and Streamlit

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