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app.py

@@ -1,14 +1,13 @@
 
 import gradio as gr
 from smolagents import load_tool
-import torch  # Add explicit torch import
-
-# Ensure CUDA is available
-device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # Load the tool
 web_analyzer = load_tool("MHamdan/web-analyzer", trust_remote_code=True)
 
+def analyze_content(url, mode):
+    return web_analyzer(url, mode)
+
 def create_interface():
     with gr.Blocks(title="AI Web Analyzer") as iface:
         gr.Markdown("# 🤖 AI-Powered Web Content Analyzer")
@@ -39,7 +38,7 @@ def create_interface():
                     lines=15
                 )
 
-        # Example data using artificial-intelligence-news.com       
+        # Example data       
         examples = [
             ["https://www.artificialintelligence-news.com/2024/02/14/openai-anthropic-google-white-house-red-teaming/", "analyze"],
             ["https://www.artificialintelligence-news.com/2024/02/13/ai-21-labs-wordtune-chatgpt-plugin/", "summarize"],
@@ -51,12 +50,12 @@ def create_interface():
             examples=examples,
             inputs=[url_input, mode],
             outputs=output,
-            label="Try these examples:",
+            fn=analyze_content,
             cache_examples=True
         )
         
         submit_btn.click(
-            fn=web_analyzer,
+            fn=analyze_content,
             inputs=[url_input, mode],
             outputs=output
         )