Upload 2 files
Browse files- app1.py +78 -0
- requirements.txt +6 -0
app1.py
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#this is one is using FALCON-7B
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from langchain import HuggingFaceHub, LLMChain, PromptTemplate
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from langchain.memory import ConversationBufferWindowMemory
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.chat_models import ChatOpenAI
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from langchain.chains import ConversationalRetrievalChain
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from langchain.document_loaders.csv_loader import CSVLoader
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from langchain.vectorstores import FAISS
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import tempfile
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from streamlit_chat import message
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import streamlit as st
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import os
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import sys
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import pandas as pd
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def conversational_chat(query):
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result = chain({"question": query,
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"chat_history": st.session_state['history']})
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st.session_state['history'].append((query, result["answer"]))
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return result["answer"]
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user_api_key = st.sidebar.text_input(
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label="#### Your HuggingFace API key π",
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placeholder="Paste your HuggingGace API key, sk-",
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type="password")
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if user_api_key is not None and user_api_key.strip() != "":
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huggingfacehub_api_token = os.environ[user_api_key]
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#setting up the LLM
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repo_id = "tiiuae/falcon-7b-instruct"
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chain = ConversationalRetrievalChain.from_llm(
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llm = HuggingFaceHub(huggingfacehub_api_token=huggingfacehub_api_token,
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repo_id=repo_id,
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model_kwargs={"temperature":0.6, "max_new_tokens":2000}))
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if 'history' not in st.session_state:
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st.session_state['history'] = []
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if 'generated' not in st.session_state:
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st.session_state['generated'] = ["Hello ! Ask me anything about " + " π€"]
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if 'past' not in st.session_state:
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st.session_state['past'] = ["Hey ! π"]
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#container for the chat history
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response_container = st.container()
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#container for the user's text input
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container = st.container()
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with container:
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with st.form(key='my_form', clear_on_submit=True):
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user_input = st.text_input("Query:", placeholder="Talk about your csv data here (:", key='input')
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submit_button = st.form_submit_button(label='Send')
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if submit_button and user_input:
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output = conversational_chat(user_input)
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st.session_state['past'].append(user_input)
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st.session_state['generated'].append(output)
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if st.session_state['generated']:
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with response_container:
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for i in range(len(st.session_state['generated'])):
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message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="big-smile")
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message(st.session_state["generated"][i], key=str(i), avatar_style="thumbs")
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else:
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st.text("Please enter your OpenAI API key above.")
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requirements.txt
ADDED
@@ -0,0 +1,6 @@
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langchain
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streamlit
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openai
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tiktoken
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faiss-cpu
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streamlit_chat
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