app.py

# Import necessary libraries
import os
import streamlit as st
import pandas as pd
from groq import Groq
from PIL import Image
from io import BytesIO
import requests
from streamlit_lottie import st_lottie  # Import streamlit-lottie

# Setup environment variables (set your API keys here)
os.environ["GROQ_API_KEY"] = "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"

# Initialize Groq client
client = Groq(api_key=os.environ.get("GROQ_API_KEY"))

# Load dataset once using caching
@st.cache_data
def load_data():
    # Load the CSV file only once
    data = pd.read_csv('movie_dataset.csv')  # Change the path here
    return data


# Load Groq model for chat completion
def get_groq_completion(query, model="gemma2-9b-it"):
    chat_completion = client.chat.completions.create(
        messages=[
            {
                "role": "user",
                "content": query,
            }
        ],
        model=model,
    )
    return chat_completion.choices[0].message.content

# Function to load Lottie animations
def load_lottie_url(url: str):
    r = requests.get(url)
    if r.status_code != 200:
        return None
    return r.json()

# Define Streamlit app
def main():
    # Page Configuration
    st.set_page_config(page_title="Movie RAG Chatbot", page_icon="🎥", layout="wide", initial_sidebar_state="expanded")

    # Apply CSS styling for dark theme and animations
    st.markdown("""
        <style>
            body {background-color: #1f1f1f; color: #f5f5f5;}
            .stButton>button {background-color: #f5a623; color: white;}
            .stTextInput>div>div>input {background-color: #333; color: #f5f5f5;}
            h1 {color: #f5a623; text-align: center;}
        </style>
    """, unsafe_allow_html=True)

    st.title("🎬 Movie RAG Chatbot")

    # Load the dataset only once
    data = load_data()
    st.write("### Dataset Overview", data.head())

    # Load Lottie animation
    lottie_animation_url = "https://assets5.lottiefiles.com/packages/lf20_OZ6W7g.json"  # Replace with your desired Lottie URL
    lottie_json = load_lottie_url(lottie_animation_url)
    if lottie_json:
        st_lottie(lottie_json, speed=1, width=None, height=None, key="loading")

    # Query input
    user_query = st.text_input("Ask about movies or actors:", placeholder="e.g., Tell me about sci-fi movies.")

    if st.button("Get Response"):
        # Fetch info from RAG model
        groq_response = get_groq_completion(user_query)

        st.write("### Chatbot Response")
        st.markdown(f"Groq Model: {groq_response}")

# Run the main app
if __name__ == "__main__":
    main()