Update app.py

app.py

@@ -1,15 +1,15 @@
 import requests
 from bs4 import BeautifulSoup
-import openai
 import gradio as gr
 import os
+from openai import OpenAI
 
-# Set OpenAI API Key (store in Hugging Face secrets or set manually)
-openai.api_key = os.getenv("OPENAI_API_KEY")
+# Initialize OpenAI client with secure API key handling
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 def scrape_and_summarize(url):
     """
-    Scrapes the given website URL and summarizes its content using GPT-4o mini.
+    Scrapes the given website URL and summarizes its content using GPT-4o-mini.
     """
     try:
         # Fetch website content
@@ -25,19 +25,25 @@ def scrape_and_summarize(url):
         if not text_content:
             return "No readable content found on this page."
 
-        # Limit text to 4000 characters for summarization
+        # Limit text to 4000 characters for better summarization
         text_content = text_content[:4000]
 
-        # Call OpenAI GPT-4o mini for summarization
-        response = openai.chat.completions.create(
+        # Call OpenAI GPT-4o-mini for summarization
+        response = client.chat.completions.create(
             model="gpt-4o-mini",
             messages=[
                 {"role": "system", "content": "You are a helpful assistant that summarizes webpage content."},
                 {"role": "user", "content": f"Summarize the following webpage content:\n\n{text_content}"}
-            ]
+            ],
+            response_format={"type": "text"},
+            temperature=1,
+            max_completion_tokens=2048,
+            top_p=1,
+            frequency_penalty=0,
+            presence_penalty=0
         )
 
-        summary = response["choices"][0].message.content
+        summary = response.choices[0].message.content  # Extract response content
         return summary
 
     except requests.exceptions.RequestException as e:
@@ -59,3 +65,4 @@ with gr.Blocks() as demo:
 # Launch Gradio App
 if __name__ == "__main__":
     demo.launch()
+