added streamlit app

app.py

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+import streamlit as st
+from langchain_pinecone import PineconeVectorStore
+from langchain.memory import ConversationBufferMemory
+from langchain.embeddings import SentenceTransformerEmbeddings
+from typing import List
+import torch
+from langchain_core.vectorstores import VectorStoreRetriever
+from langchain_community.llms import Together
+from langchain.chains.question_answering import load_qa_chain
+from pinecone import Pinecone, ServerlessSpec
+import os
+
+pinecone_api_key = os.getenv('pinecone_api_key')
+together_api_key = os.getenv('together_api_key')
+
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+if device == 'cuda':
+    print(torch.cuda.get_device_name(0))
+
+index_name = 'lex-index'
+embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
+pinecone = PineconeVectorStore(index_name=index_name, embedding=embeddings,pinecone_api_key = pinecone_api_key, text_key='title')
+
+st.title("🦜🔗 Lex Fridman Podcast QnA")
+
+st.markdown("This app  was developed by [Viren Dhanwani](https://github.com/virendhanwani) "
+"by creating a Vector Database of transcripts of Lex Fridman Podcast using the [dataset](https://huggingface.co/datasets/jamescalam/lex-transcripts/viewer/default/train?row=30)  "
+"and by implementing the Langhcain QA chain")
+
+def generate_response(input_text):
+    llm = Together(
+        model="mistralai/Mistral-7B-Instruct-v0.2",
+        temperature=0.7,
+        max_tokens=500,
+        top_k=50,
+        together_api_key= together_api_key
+    )
+    chain = load_qa_chain(llm, chain_type='stuff')
+    docs = pinecone.similarity_search(input_text, k=3)
+    response = chain.run(input_documents=docs, question=input_text)
+    return response
+
+
+with st.container():
+    messages = st.container(height=500)
+    messages.chat_message("assistant").write('How may i help you ?')
+    if prompt := st.chat_input("Say something"):
+        messages.chat_message("user").write(prompt)
+        messages.chat_message("assistant").write(generate_response(prompt))

requirements.txt

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+langchain==0.1.12
+langchain-community==0.0.28
+langchain-pinecone==0.0.3
+langchain-together==0.0.2.post1
+langchain-core==0.1.32
+pinecone-client==3.1.0
+sentence-transformers==2.3.1