app.py

import streamlit as st
from generator import generate_response_from_document
from retrieval import retrieve_documents_hybrid,find_query_dataset
from evaluation import calculate_metrics
from data_processing import load_recent_questions, save_recent_question
import time
import matplotlib.pyplot as plt

# Page Title
st.title("RAG7 - Real World RAG System")

st.markdown(
    """

    <style>

    .stTextArea textarea {

        background-color: white !important;

        font-size: 20px !important;

        color: black !important;

    }

    </style>

    """,
    unsafe_allow_html=True
)

# global retrieved_documents
# retrieved_documents = []

# global response 
# response = ""

# global time_taken_for_response
# time_taken_for_response = 'N/A'

# @st.cache_data
# def load_data():
#     load_data_from_faiss()

# data_status = load_data()

# Question Section
st.subheader("Hi, What do you want to know today?")
question = st.text_area("Enter your question:", placeholder="Type your question here...", height=100)
question = question.strip()

# # Submit Button
# if st.button("Submit"):
#     start_time = time.time()
#     retrieved_documents = retrieve_documents_hybrid(question, 10)  
#     response = generate_response_from_document(question, retrieved_documents)
#     end_time = time.time()
#     time_taken_for_response = end_time-start_time
# else:
#     response = ""

# # Response Section
# st.subheader("Response")
# st.text_area("Generated Response:", value=response, height=150, disabled=True)

# # Metrics Section
# st.subheader("Metrics")

# col1, col2 = st.columns([1, 3])  # Creating two columns for button and metrics display

# with col1:
#     if st.button("Calculate Metrics"):
#         metrics = calculate_metrics(question, response, retrieved_documents, time_taken_for_response)
#     else:
#         metrics = ""

# with col2:
#     st.text_area("Metrics:", value=metrics, height=100, disabled=True)

if "retrieved_documents" not in st.session_state:
    st.session_state.retrieved_documents = []
if "response" not in st.session_state:
    st.session_state.response = ""
if "time_taken_for_response" not in st.session_state:
    st.session_state.time_taken_for_response = "N/A"
if "metrics" not in st.session_state:
    st.session_state.metrics = {}
if "query_dataset" not in st.session_state:
    st.session_state.query_dataset = ''

recent_questions = load_recent_questions()

# for visualization

# response_time = [q["response_time"] for q in recent_data["questions"]]
# labels = [f"Q{i+1}" for i in range(len(response_time))]  # Labels for X-axis

# fig, ax = plt.subplots()
# ax.set_xlabel("Recent Questions")
# ax.set_ylabel("Time Taken for Response")
# ax.legend()
# st.sidebar.pyplot(fig)
if recent_questions and "questions" in recent_questions and recent_questions["questions"]:
    recent_qns = list(reversed(recent_questions["questions"]))
    st.sidebar.title("Analytics")

    # Extract response times and labels
    response_time = [q["response_time"] for q in recent_qns]
    labels = [f"Q{i+1}" for i in range(len(response_time))]

    # Plot graph
    fig, ax = plt.subplots()
    ax.plot(labels, response_time, marker="o", linestyle="-", color="skyblue")
    ax.set_xlabel("Recent Questions")
    ax.set_ylabel("Time Taken for Response (seconds)")
    ax.set_title("Response Time Analysis")

    # Display the plot in the sidebar
    st.sidebar.pyplot(fig)

    st.sidebar.markdown("---")

    # Display Recent Questions
    st.sidebar.title("Recent Questions")
    for q in recent_qns:  # Show latest first
        st.sidebar.write(f"🔹 {q['question']}")
else:
    st.sidebar.write("No recent questions")
 # Separator

# Streamlit Sidebar for Recent Questions


# Submit Button
# if st.button("Submit"):
#     start_time = time.time()
#     st.session_state.retrieved_documents = retrieve_documents_hybrid(question, 10)  
#     st.session_state.response = generate_response_from_document(question, st.session_state.retrieved_documents)
#     end_time = time.time()
#     st.session_state.time_taken_for_response = end_time - start_time

if st.button("Submit"):
    start_time = time.time()
    st.session_state.metrics = {}
    st.session_state.query_dataset =  find_query_dataset(question)
    st.session_state.retrieved_documents = retrieve_documents_hybrid(question, st.session_state.query_dataset, 10)  
    st.session_state.response = generate_response_from_document(question, st.session_state.retrieved_documents)
    end_time = time.time()
    st.session_state.time_taken_for_response = end_time - start_time
    save_recent_question(question, st.session_state.time_taken_for_response)

# Display stored response
st.subheader("Response")
st.text_area("Generated Response:", value=st.session_state.response, height=150, disabled=True)

col1, col2 = st.columns([1, 3])  # Creating two columns for button and metrics display

# # Calculate Metrics Button
# with col1:
#     if st.button("Calculate Metrics"):
#         metrics = calculate_metrics(question, st.session_state.response, st.session_state.retrieved_documents, st.session_state.time_taken_for_response)
#     else:
#         metrics = {}

# with col2:
#     #st.text_area("Metrics:", value=metrics, height=100, disabled=True)
#     st.json(metrics)


# Calculate Metrics Button
with col1:
    if st.button("Show Metrics"):     
        st.session_state.metrics = calculate_metrics(question, st.session_state.query_dataset, st.session_state.response, st.session_state.retrieved_documents, st.session_state.time_taken_for_response)
    else:
        metrics_ = {}

with col2:
    #st.text_area("Metrics:", value=metrics, height=100, disabled=True)
    st.json(st.session_state.metrics)