Create app.py

app.py

@@ -0,0 +1,94 @@
+import requests
+from bs4 import BeautifulSoup
+import streamlit as st
+from urllib.parse import quote
+
+@st.cache_resource
+def display_glossary_entity(k):
+    search_urls = {
+        "🚀🌌ArXiv": lambda k: f"/?q={quote(k)}",
+        "🃏Analyst": lambda k: f"/?q={quote(k)}-{quote(PromptPrefix)}",
+        "📚PyCoder": lambda k: f"/?q={quote(k)}-{quote(PromptPrefix2)}",
+        "🔬JSCoder": lambda k: f"/?q={quote(k)}-{quote(PromptPrefix3)}",
+        "📖Wiki": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
+        "🔍Google": lambda k: f"https://www.google.com/search?q={quote(k)}",
+        "🔎Bing": lambda k: f"https://www.bing.com/search?q={quote(k)}",
+        "🎥YouTube": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
+        "🐦Twitter": lambda k: f"https://twitter.com/search?q={quote(k)}",
+    }
+    links_md = ' '.join([f"[{emoji}]({url(k)})" for emoji, url in search_urls.items()])
+    st.markdown(f"**{k}** <small>{links_md}</small>", unsafe_allow_html=True)
+
+def perform_search(search_query, search_engine):
+    if search_engine == "Google":
+        url = f"https://www.google.com/search?q={search_query}"
+        response = requests.get(url)
+        soup = BeautifulSoup(response.text, "html.parser")
+        search_results = soup.select(".yuRUbf a")
+    elif search_engine == "Bing":
+        url = f"https://www.bing.com/search?q={search_query}"
+        response = requests.get(url)
+        soup = BeautifulSoup(response.text, "html.parser")
+        search_results = soup.select(".b_algo h2 a")
+    elif search_engine == "Wikipedia":
+        url = f"https://en.wikipedia.org/w/index.php?search={search_query}"
+        response = requests.get(url)
+        soup = BeautifulSoup(response.text, "html.parser")
+        search_results = soup.select(".mw-search-result-heading a")
+    elif search_engine == "Twitter":
+        url = f"https://twitter.com/search?q={search_query}"
+        response = requests.get(url)
+        soup = BeautifulSoup(response.text, "html.parser")
+        search_results = soup.select(".css-4rbku5")
+    
+    results = []
+    for result in search_results:
+        title = result.text
+        link = result["href"]
+        if search_engine == "Twitter":
+            link = f"https://twitter.com{link}"
+        results.append({"title": title, "link": link})
+    
+    return results
+
+def main():
+    st.set_page_config(page_title="Web Search App", page_icon=":mag:", layout="wide")
+    
+    st.title("Web Search App")
+    st.write("Search Google, Bing, Wikipedia, and Twitter simultaneously!")
+    
+    search_query = st.text_input("Enter your search query")
+    display_glossary_entity(search_query)
+    
+    col1, col2, col3, col4 = st.columns(4)
+    
+    with col1:
+        st.header("Google Search Results")
+        if st.button("Search Google"):
+            google_results = perform_search(search_query, "Google")
+            for result in google_results:
+                st.write(f"[{result['title']}]({result['link']})")
+    
+    with col2:
+        st.header("Bing Search Results")
+        if st.button("Search Bing"):
+            bing_results = perform_search(search_query, "Bing")
+            for result in bing_results:
+                st.write(f"[{result['title']}]({result['link']})")
+    
+    with col3:
+        st.header("Wikipedia Search Results")
+        if st.button("Search Wikipedia"):
+            wikipedia_results = perform_search(search_query, "Wikipedia")
+            for result in wikipedia_results:
+                st.write(f"[{result['title']}]({result['link']})")
+    
+    with col4:
+        st.header("Twitter Search Results")
+        if st.button("Search Twitter"):
+            twitter_results = perform_search(search_query, "Twitter")
+            for result in twitter_results:
+                st.write(f"[{result['title']}]({result['link']})")
+
+if __name__ == "__main__":
+    main()