requirements.txt

gradio
requests
beautifulsoup4
pandas

app.py

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+import gradio as gr
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+
+
+def scrape_site(url):
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text, "html.parser")
+    titles = [h.text.strip() for h in soup.find_all("h2")]
+    return titles
+
+
+def clean_data(data):
+    df = pd.DataFrame(data, columns=["title"])
+    df["title"] = df["title"].str.lower().str.strip()
+    df = df.drop_duplicates()
+    return df["title"].tolist()
+
+
+def chatbot(message, history):
+
+    if message.startswith("scrape"):
+        url = message.replace("scrape ", "")
+        data = scrape_site(url)
+        clean = clean_data(data)
+        return "\n".join(clean[:10])
+
+    return "Tape: scrape URL"
+
+
+demo = gr.ChatInterface(fn=chatbot)
+demo.launch()