Create app.py

app.py

@@ -0,0 +1,44 @@
+import csv
+import gradio as gr
+from duckduckgo_search import DDGS
+
+def search_duckduckgo(query: str, max_results: int = 100):
+    results = []
+    with DDGS() as ddgs:
+        for r in ddgs.text(query, max_results=max_results):
+            results.append(r['href'])
+    return results
+
+def save_urls_to_csv(urls, filename="duckduckgo_search_urls.csv"):
+    with open(filename, mode='w', newline='', encoding='utf-8') as file:
+        writer = csv.writer(file)
+        writer.writerow(["URL"])
+        for url in urls:
+            writer.writerow([url])
+    return filename
+
+def search_and_save(query, max_results):
+    urls = search_duckduckgo(query, max_results)
+    csv_file = save_urls_to_csv(urls)
+    return urls, csv_file
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🔍 DuckDuckGo Search Interface")
+    with gr.Row():
+        query_input = gr.Textbox(label="Search Query", placeholder="Enter your search query here")
+        max_results_input = gr.Slider(minimum=1, maximum=100, value=10, step=1, label="Max Results")
+    search_button = gr.Button("Search")
+    results_output = gr.Dataframe(headers=["URL"], label="Search Results")
+    download_output = gr.File(label="Download CSV")
+
+    def on_search_click(query, max_results):
+        urls, csv_file = search_and_save(query, max_results)
+        return [urls], csv_file
+
+    search_button.click(
+        fn=on_search_click,
+        inputs=[query_input, max_results_input],
+        outputs=[results_output, download_output]
+    )
+
+demo.launch()