diff --git a/web_scrapping_ai_agent/local_ai_scrapper.py b/web_scrapping_ai_agent/local_ai_scrapper.py
new file mode 100644
index 0000000..38ca154
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+++ b/web_scrapping_ai_agent/local_ai_scrapper.py
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+# Import the required libraries
+import streamlit as st
+from scrapegraphai.graphs import SmartScraperGraph
+
+# Set up the Streamlit app
+st.title("Web Scrapping AI Agent 🕵️‍♂️")
+st.caption("This app allows you to scrape a website using OpenAI API")
+
+# Set up the configuration for the SmartScraperGraph
+graph_config = {
+    "llm": {
+        "model": "ollama/llama3",
+        "temperature": 0,
+        "format": "json",  # Ollama needs the format to be specified explicitly
+        "base_url": "http://localhost:11434",  # set Ollama URL
+    },
+    "embeddings": {
+        "model": "ollama/nomic-embed-text",
+        "base_url": "http://localhost:11434",  # set Ollama URL
+    },
+    "verbose": True,
+}
+# Get the URL of the website to scrape
+url = st.text_input("Enter the URL of the website you want to scrape")
+# Get the user prompt
+user_prompt = st.text_input("What you want the AI agent to scrae from the website?")
+
+# Create a SmartScraperGraph object
+smart_scraper_graph = SmartScraperGraph(
+    prompt=user_prompt,
+    source=url,
+    config=graph_config
+)
+# Scrape the website
+if st.button("Scrape"):
+    result = smart_scraper_graph.run()
+    st.write(result)
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