from langchain_community.chat_message_histories import StreamlitChatMessageHistory import streamlit as st from langchain.prompts import ( ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder, ) from more_itertools import chunked from langserve import RemoteRunnable from transformers import AutoTokenizer, AutoModelForSeq2SeqLM import os from langchain import PromptTemplate from langchain import LLMChain from langchain_together import Together import re import pdfplumber # Set the API key with double quotes os.environ['TOGETHER_API_KEY'] = "5653bbfbaf1f7c1438206f18e5dfc2f5992b8f0b6aa9796b0131ea454648ccde" text = "" max_pages = 16 with pdfplumber.open("AI Engineer Test.pdf") as pdf: for i, page in enumerate(pdf.pages): if i >= max_pages: break text += page.extract_text() + "\n" def Bot(Questions): chat_template = """ Based on the provided context: {text} Please answer the following question: {Questions} Only provide answers that are directly related to the context. If the question is unrelated, respond with "I don't know". """ prompt = PromptTemplate( input_variables=['text', 'Questions'], template=chat_template ) llama3 = Together(model="meta-llama/Llama-3-70b-chat-hf", max_tokens=250) Generated_chat = LLMChain(llm=llama3, prompt=prompt) def ChatBot(Questions): greetings = ["hi", "hello", "hey", "greetings", "what's up", "howdy"] # Check if the input question is a greeting question_lower = Questions.lower().strip() if question_lower in greetings or any(question_lower.startswith(greeting) for greeting in greetings): return "Hello! How can I assist you with the document today?" else: response=Bot(Questions) return response.translate(str.maketrans('', '', '\n')) """ # --- Logo --- st.set_page_config( page_title="AI Engineer Test Chatbot", page_icon="Insight Therapy Solutions.png", layout="wide", ) st.sidebar.image("Insight Therapy Solutions.png", width=200) st.sidebar.title("Navigation") st.sidebar.write("Reclaim Your Mental Health") st.sidebar.markdown("[Visit us at](https://www.insighttherapysolutions.com/)") """ # Add some custom styling st.markdown( , unsafe_allow_html=True )