Upload with huggingface_hub

.gitattributes

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README.md

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 ---
-title: Imdb Search
-emoji: ⚡
-colorFrom: indigo
-colorTo: purple
+title: IMDB search
+emoji: 🐠
+colorFrom: blue
+colorTo: blue
 sdk: gradio
-sdk_version: 3.18.0
+sdk_version: 3.12.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from datasets import load_dataset
+from pyserini.search.lucene import LuceneSearcher
+
+searcher = LuceneSearcher("index")
+ds = load_dataset("imdb", split="train")
+
+def search(query):
+    hits = searcher.search(query, k=10)
+    results = ds.select([int(hit.docid) for hit in hits])
+    return results['text']
+
+
+if __name__ == "__main__":
+    demo = gr.Blocks()
+
+    with demo:
+        with gr.Row():
+            gr.Markdown(value="""# <p style="text-align: center;"> IMDB search </p>""")
+        with gr.Row():
+            query = gr.Textbox(lines=1, max_lines=1, placeholder="Search…", label="Query")
+        with gr.Row():
+            submit_btn = gr.Button("🔍")
+        with gr.Column():
+            c1 = gr.HTML(label="Results")
+            c2 = gr.HTML(label="Results")
+            c3 = gr.HTML(label="Results")
+            c4 = gr.HTML(label="Results")
+            c5 = gr.HTML(label="Results")
+            c6 = gr.HTML(label="Results")
+            c7 = gr.HTML(label="Results")
+            c8 = gr.HTML(label="Results")
+            c9 = gr.HTML(label="Results")
+            c10 = gr.HTML(label="Results")
+        query.submit(fn=search, inputs=[query], outputs=[c1, c2, c3, c4, c5, c6, c7, c8, c9, c10])
+        submit_btn.click(search, inputs=[query], outputs=[c1, c2, c3, c4, c5, c6, c7, c8, c9, c10])
+
+    demo.launch(enable_queue=True, debug=True)

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