Update app.py

app.py

@@ -18,50 +18,13 @@ def extract_text_from_url(url):
         return f"An error occurred: {e}"
 
 # Gradio interface
-with gr.Blocks() as app:
-    gr.Markdown("### Extract Text from Hugging Face Dataset")
-    gr.Markdown(
-        "Enter the URL of a Hugging Face dataset to extract and display the 'text' fields. "
-        "Example URL: https://datasets-server.huggingface.co/rows?dataset=pszemraj%2Fmidjourney-messages-cleaned&config=deduped&split=train&length=100&offset=0"
-    )
-    
-    with gr.Row():
-        dataset_url = gr.Textbox(
-            label="Dataset URL", 
-            placeholder="Enter the dataset URL",
-            lines=1
-        )
-    
-    extracted_texts = gr.Textbox(
-        label="Extracted Texts", 
-        lines=20, 
-        placeholder="Extracted texts will appear here",
-        interactive=False,
-        elem_id="extracted-texts"  # Add unique ID for JavaScript targeting
-    )
-    
-    with gr.Row():
-        extract_button = gr.Button("Extract Texts")
-        # Add custom HTML for copy functionality
-        copy_button_html = gr.HTML("""
-            <button id="copy-btn" style="padding: 10px; background-color: #007bff; color: white; border: none; cursor: pointer;">
-                Copy All
-            </button>
-            <script>
-                document.getElementById("copy-btn").addEventListener("click", function() {
-                    const text = document.getElementById("extracted-texts").value;
-                    navigator.clipboard.writeText(text).then(function() {
-                        alert("Texts copied to clipboard!");
-                    }).catch(function(err) {
-                        alert("Failed to copy text: " + err);
-                    });
-                });
-            </script>
-        """)
+interface = gr.Interface(
+    fn=extract_text_from_url,
+    inputs=gr.Textbox(label="Dataset URL", placeholder="Enter the dataset URL"),
+    outputs=gr.Textbox(label="Extracted Texts", lines=20, placeholder="Extracted texts will appear here"),
+    title="Extract Text from Hugging Face Dataset",
+    description="Enter the URL of a Hugging Face dataset to extract and display the 'text' fields. https://datasets-server.huggingface.co/rows?dataset=pszemraj%2Fmidjourney-messages-cleaned&config=deduped&split=train&length=100&offset=0"
+)
 
-    # Define the interaction for extracting text
-    extract_button.click(extract_text_from_url, inputs=dataset_url, outputs=extracted_texts)
-
-# Launch the app
 if __name__ == "__main__":
-    app.launch()
+    interface.launch()