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_questions
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: 24px !important;

        color: black !important;

    }

    </style>

    """,
    unsafe_allow_html=True
)

# # 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)

# Initialize session state
if "recent_questions" not in st.session_state:
    st.session_state.recent_questions = load_recent_questions()

if "last_question" not in st.session_state:
    st.session_state.last_question = None

if "response_time" not in st.session_state:
    st.session_state.response_time = None

if "retrieved_documents" not in st.session_state:
    st.session_state.retrieved_documents = None

if "response" not in st.session_state:
    st.session_state.response = None

if st.session_state.recent_questions:
    recent_qns = list(reversed(st.session_state.recent_questions))

    print(recent_qns)

    # Display Recent Questions
    st.sidebar.title("Overall RMSE")
    rmse_values = [q["metrics"]["rmse"] for q in recent_qns if "metrics" in q and "rmse" in q["metrics"]]
    average_rmse = sum(rmse_values) / len(rmse_values) if rmse_values else 0
    st.sidebar.write(f"📊 **Average RMSE:** {average_rmse:.4f}")

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

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

    # Plot graph
    if any(response_time):
        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")
        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.title("No recent questions")

# 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()

if st.button("Submit"):
    if question:
        st.session_state.last_question = question

        start_time = time.time()
        st.session_state.metrics = {}
        st.session_state.response = ""
        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

        # Check if question already exists
        existing_questions = [q["question"] for q in st.session_state.recent_questions]
        
        if question not in existing_questions:
            new_entry = {
                    "question": question,
                    "metrics": st.session_state.metrics
                }
            st.session_state.recent_questions.append(new_entry)
            save_recent_questions(st.session_state.recent_questions)
    else:
        st.error("Please enter a question before submitting.")
    
# 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("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)
        for q in st.session_state.recent_questions:
            if q["question"] == st.session_state.last_question:
                q["metrics"] = {"metrics": st.session_state.metrics}

        # Save updated data to file
        save_recent_questions(st.session_state.recent_questions)

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

st.experimental_rerun()