Update app.py
Browse files
app.py
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@@ -1,4 +1,44 @@
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import streamlit as st
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warnings.filterwarnings("ignore", category=DeprecationWarning, module="langchain_community")
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@@ -348,13 +388,4 @@ def handle_user_input(user_input):
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ai_response, error_message = get_ai_response(user_input)
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st.write(f"{ai_response}")
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# Streamlit app layout
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st.title("🦜🔗 Reminder AI")
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with st.form("reminder_form"):
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user_input = st.text_area("Enter your request:")
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submit_button = st.form_submit_button("Submit")
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if submit_button and user_input:
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handle_user_input(user_input)
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import streamlit as st
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.pydantic_v1 import BaseModel, Field
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from typing import List, Optional
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from langchain_core.prompts import ChatPromptTemplate
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import warnings
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import json
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from langchain_chroma import Chroma
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from langchain_text_splitters import RecursiveCharacterTextSplitter
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from langchain_core.prompts import ChatPromptTemplate
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from langchain_core.output_parsers import StrOutputParser
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from langchain_core.runnables import RunnablePassthrough
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from langchain_core.documents import Document
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import os
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from datetime import datetime
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from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
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from langchain_core.runnables import RunnableParallel
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from langchain_groq import ChatGroq
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from langchain_community.chat_message_histories import SQLChatMessageHistory
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from langchain_core.runnables import ConfigurableFieldSpec
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from langchain_core.messages import HumanMessage
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from langchain_core.runnables.history import RunnableWithMessageHistory
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from langchain_core.documents import Document
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from langchain_core.runnables import RunnablePassthrough
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from langchain_huggingface import HuggingFaceEmbeddings
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from langchain_community.utilities import SQLDatabase
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import pytz
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import sqlite3
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import tqdm
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# Streamlit app layout
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st.title("🦜🔗 Reminder AI")
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with st.form("reminder_form"):
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user_input = st.text_area("Enter your request:")
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submit_button = st.form_submit_button("Submit")
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if submit_button and user_input:
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handle_user_input(user_input)
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warnings.filterwarnings("ignore", category=DeprecationWarning, module="langchain_community")
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ai_response, error_message = get_ai_response(user_input)
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st.write(f"{ai_response}")
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