Delete app.py

app.py

@@ -1,190 +0,0 @@
-from langchain.document_loaders import PyPDFLoader, DirectoryLoader
-from langchain.text_splitter import RecursiveCharacterTextSplitter 
-from langchain.embeddings.openai import OpenAIEmbeddings
-from langchain.llms import OpenAI
-from langchain.vectorstores import FAISS
-from langchain import PromptTemplate
-import streamlit as st
-import os
-from langchain.chains import RetrievalQA
-import time
-from datetime import datetime
-import pytz
-import streamlit as st
-from PyPDF2 import PdfReader
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-import os
-from langchain_google_genai import GoogleGenerativeAIEmbeddings
-import google.generativeai as genai
-from langchain.vectorstores import FAISS
-from langchain_google_genai import ChatGoogleGenerativeAI
-from langchain.chains.question_answering import load_qa_chain
-from langchain.prompts import PromptTemplate
-
-os.environ["GOOGLE_API_KEY"] = "AIzaSyB9O6fAGbU0ptk5VirtkTrLfmMCmaZqFCA"
-
-# Move this image display up
-st.markdown(
-    '<div class = "center"> <img src = "https://solukraft.com/Home/Black%20BG%20PNG.png" style = "width : 200px;" alt = "Center Aligned Image"> </div>',
-    unsafe_allow_html=True,
-)
-
-st.markdown(
-    """ <style>
-    body {
-        background-size: cover;
-    }
-    .css-fg4pbf {
-        background:rgba(255,255,255,0.8) !important;
-    }
-    .css-18ni7ap {
-        background:none !important;
-    }
-    a.css-eczf16.e1nzilvr3 {
-        display: none;
-    }
-    .block-container {
-        padding: 2rem 0 10rem 0;
-    }
-    button[kind="primary"] {
-        position: fixed;
-        bottom: 8rem;
-    }
-    
-    button[kind="secondary"] {
-        position: fixed;
-        bottom: 8rem;
-        transform: translateX(630px)
-    }
-    h1#private-bot-using-gpt-3-5 {
-        padding-top: 0;
-    }
-    .font {
-        font-size:22px ;
-        font-family: 'Segoe UI';
-        color:#B7D313;
-        font-weight:400;
-        text-align:center;
-    }
-    h1 {
-        font-size:30px ;
-        font-family: 'Segoe UI';
-        color:#002C84;
-        font-weight:bold;
-        text-align:center;
-    }
-    .center {
-        display: flex;
-        justify-content : center ;
-    }
-    </style> """,
-    unsafe_allow_html=True,
-)
-
-def get_conversational_chain():
-
-    prompt_template = """
-    Answer the question as detailed as possible from the provided context, make sure to provide all the details
-    Context:\n {context}?\n
-    Question: \n{question}\n
-
-    Answer:
-    """
-
-    model = ChatGoogleGenerativeAI(model="gemini-pro",
-                             temperature=0.3)
-    embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
-    
-    new_db = FAISS.load_local("faiss_index", embeddings)
-    prompt = PromptTemplate(template = prompt_template, input_variables = ["context", "question"])
-    qa_chain = RetrievalQA.from_chain_type(llm=model,
-                                        chain_type='stuff',
-                                        retriever=new_db.as_retriever(search_kwargs={'k': 2}),
-                                        return_source_documents=True,
-                                        chain_type_kwargs={'prompt': prompt}
-                                        )
-    return qa_chain
-
-
-
-def user_input(user_question):
-    chain = get_conversational_chain()
-    response = chain.invoke(user_question)
-    return response
-
-
-st.title("SoluKraft PharmaGPT")
-
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-
-
-# Display chat messages from history on app rerun
-for message in st.session_state.messages:
-    with st.chat_message(message["role"]):
-        st.markdown(message["content"])
-        st.markdown(f"<div style='text-align: right'>{message['timestamp']}</div>", unsafe_allow_html=True)
-        
-
-if prompt := st.chat_input("send a message"):
-    # Display user message in chat message container
-    utc_now = datetime.utcnow()
-    # Convert UTC time to IST
-    ist_timezone = pytz.timezone('Asia/Kolkata')
-    current_time = utc_now.astimezone(ist_timezone).strftime("%Y-%m-%d %H:%M:%S")
-    with st.chat_message("user"):
-        st.markdown(prompt)
-        st.markdown(f"<div style='text-align: right'>{current_time}</div>", unsafe_allow_html=True,)
-    
-    # Add user message to chat history with timestamp
-    st.session_state.messages.append({"role": "user", "content": prompt, "timestamp": current_time})
-    
-    start_time = time.time()
-    response = user_input(prompt)
-    end_time = time.time()
-    utc_now = datetime.utcnow()
-    # Convert UTC time to IST
-    ist_timezone = pytz.timezone('Asia/Kolkata')
-    current_time = utc_now.astimezone(ist_timezone).strftime("%Y-%m-%d %H:%M:%S")
-    execution_time = end_time - start_time
-    #st.write(f"Execution time: {execution_time:.4f} seconds")
-
-    # Display assistant response in chat message container
-    with st.chat_message("assistant"):
-        st.markdown(response['result'])
-        st.markdown(f"<div style='text-align: right'>{current_time}</div>", unsafe_allow_html=True,)
-        st.session_state.messages.append({"role": "assistant", "content": response['result'], "timestamp": current_time})
-
-if len(st.session_state.messages) != 0:
-    if st.button("Clear", type="primary"):
-        st.session_state.messages = []
-        
-    if st.button("Regenerate", type="secondary"):
-        prompt = st.session_state.messages[0]['content']
-        utc_now = datetime.utcnow()
-
-        # Convert UTC time to IST
-        ist_timezone = pytz.timezone('Asia/Kolkata')
-        current_time = utc_now.astimezone(ist_timezone).strftime("%Y-%m-%d %H:%M:%S")
-        with st.chat_message("user"):
-            st.markdown(prompt)
-            st.markdown(f"<div style='text-align: right'>{current_time}</div>", unsafe_allow_html=True,)
-        # Add user message to chat history with timestamp
-        st.session_state.messages.append({"role": "user", "content": prompt, "timestamp": current_time})
-        start_time = time.time()
-        response = user_input(prompt)	
-        end_time = time.time()
-        execution_time = end_time - start_time
-        st.write(f"Execution time: {execution_time:.4f} seconds")
-        with st.chat_message("assistant"):
-            st.markdown(response['result'])
-            utc_now = datetime.utcnow()
-
-            # Convert UTC time to IST
-            ist_timezone = pytz.timezone('Asia/Kolkata')
-            current_time = utc_now.astimezone(ist_timezone).strftime("%Y-%m-%d %H:%M:%S")
-            st.markdown(f"<div style='text-align: right'>{current_time}</div>", unsafe_allow_html=True,)
-
-            # Add assistant response to chat history with timestamp
-            st.session_state.messages.append({"role": "assistant", "content": response['result'], "timestamp": current_time,"metadata":response['source_documents']})
-