Update app.py

app.py

@@ -1,26 +1,25 @@
 import asyncio
 import nest_asyncio
 import json
-from dotenv import load_dotenv
 import streamlit as st
 from sentence_transformers import SentenceTransformer
 from scrapegraphai.graphs import SmartScraperMultiGraph
-import os
+from langchain_groq import ChatGroq
+
 import subprocess
 
 subprocess.run(["playwright", "install"])
 # Apply nest_asyncio to allow nested event loops
 nest_asyncio.apply()
 
-load_dotenv()
-GROQ_API_KEY = os.getenv('GROQ_API_KEY')
-
 # Load the sentence transformer model
 model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
 
 # Streamlit Application
 st.title("Course Scraper from Analytics Vidhya")
 
+# API Key Input
+api_key = st.text_input("Enter your API Key:", type="password")
 
 # Prompt Input
 user_prompt = st.text_input("Enter your prompt for scraping:")
@@ -29,7 +28,7 @@ user_prompt = st.text_input("Enter your prompt for scraping:")
 graph_config = {
     "llm": {
         "model": "groq/llama3-70b-8192",
-        "api_key": GROQ_API_KEY,
+        "api_key": api_key,
         "temperature": 1
     },
     "embeddings": {