Update app.py

app.py

@@ -3,57 +3,37 @@ import requests
 import streamlit as st
 import openai
 
-# -----------------------------
 # Load secrets
-# -----------------------------
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 SERPAPI_API_KEY = os.environ.get("SERPAPI_API_KEY")
 
 if not OPENAI_API_KEY or not SERPAPI_API_KEY:
-    st.error(
-        "❌ Missing API keys! Add OPENAI_API_KEY and SERPAPI_API_KEY in Settings → Secrets."
-    )
+    st.error("❌ Missing API keys! Add OPENAI_API_KEY and SERPAPI_API_KEY in Settings → Secrets.")
     st.stop()
 
 openai.api_key = OPENAI_API_KEY
 
-# -----------------------------
-# Fetch AI news using SerpAPI REST
-# -----------------------------
+# Fetch AI news from SerpAPI
 def fetch_ai_news(query="latest AI news"):
     url = "https://serpapi.com/search.json"
-    params = {
-        "q": query,
-        "engine": "google",
-        "api_key": SERPAPI_API_KEY,
-        "num": 5
-    }
-    response = requests.get(url, params=params).json()
-    news_list = [
-        {"title": r.get("title", ""), "snippet": r.get("snippet", ""), "link": r.get("link", "")}
-        for r in response.get("organic_results", [])
-    ]
-    return news_list
+    params = {"q": query, "engine": "google", "api_key": SERPAPI_API_KEY, "num": 5}
+    resp = requests.get(url, params=params).json()
+    return [{"title": r.get("title",""), "snippet": r.get("snippet",""), "link": r.get("link","")}
+            for r in resp.get("organic_results", [])]
 
-# -----------------------------
-# Summarize news using OpenAI 1.x API
-# -----------------------------
+# Summarize using old OpenAI API
 def summarize_news(news_items):
     combined_text = "\n\n".join([f"{n['title']} - {n['snippet']}" for n in news_items])
     prompt = f"Summarize the following latest AI news into 5 concise bullet points:\n\n{combined_text}"
 
-    response = openai.chat.completions.create(
+    response = openai.ChatCompletion.create(
         model="gpt-4o-mini",
         messages=[{"role": "user", "content": prompt}],
     )
-    return response.choices[0].message.content
+    return response.choices[0].message["content"]
 
-# -----------------------------
 # Streamlit UI
-# -----------------------------
-st.set_page_config(page_title="AI News Summarizer", page_icon="🧠", layout="centered")
-
-st.title("🧠 AI News Summarizer Agent")
+st.title("🧠 AI News Summarizer")
 query = st.text_input("Enter topic", "latest AI news")
 
 if st.button("Fetch & Summarize"):
@@ -66,7 +46,6 @@ if st.button("Fetch & Summarize"):
             st.markdown(f"**{n['title']}**")
             st.markdown(n['snippet'])
             st.markdown(f"[Read more]({n['link']})\n---")
-
         st.subheader("🧩 AI Summary")
         summary = summarize_news(news)
         st.success(summary)