Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -142,14 +142,14 @@ def retrieve_gradio(knowledge_base: str, query: str, topk: int):
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similarities_np = similarities.cpu().numpy()
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print(f"topk_doc_ids_np: {topk_doc_ids_np}, topk_values_np: {topk_values_np}")
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-
images_topk = [Image.open(os.path.join(target_cache_dir, f"{index2img_filename[idx]}
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with open(os.path.join(target_cache_dir, f"q-{query_md5}.json"), 'w') as f:
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f.write(json.dumps(
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{
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"knowledge_base": knowledge_base,
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"query": query,
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-
"retrived_docs": [os.path.join(target_cache_dir, f"{index2img_filename[idx]}
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}, indent=4, ensure_ascii=False
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))
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similarities_np = similarities.cpu().numpy()
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print(f"topk_doc_ids_np: {topk_doc_ids_np}, topk_values_np: {topk_values_np}")
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+
images_topk = [Image.open(os.path.join(target_cache_dir, f"{index2img_filename[idx]}")) for idx in topk_doc_ids_np]
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with open(os.path.join(target_cache_dir, f"q-{query_md5}.json"), 'w') as f:
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f.write(json.dumps(
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{
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"knowledge_base": knowledge_base,
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"query": query,
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+
"retrived_docs": [os.path.join(target_cache_dir, f"{index2img_filename[idx]}") for idx in topk_doc_ids_np]
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}, indent=4, ensure_ascii=False
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))
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