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Update app.py
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app.py
CHANGED
@@ -1,24 +1,26 @@
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import gradio as gr
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import os
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import query_index
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import datasets
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import sentence_transformers
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model = sentence_transformers.SentenceTransformer(
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"dangvantuan/sentence-camembert-large", device="cpu")
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_, retrieved_examples = dataset.get_nearest_examples(
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"embeddings",
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query_embedding,
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k=k,
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for text, start, end, title, url in zip(
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retrieved_examples["text"],
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retrieved_examples["start"],
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@@ -28,16 +30,25 @@ def query(text, k=5):
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):
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start = start
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end = end
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iface = gr.Interface(
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)
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import logging
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import gradio as gr
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import datasets
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import sentence_transformers
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logging.disable(logging.CRITICAL)
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model = sentence_transformers.SentenceTransformer(
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"dangvantuan/sentence-camembert-large", device="cuda"
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)
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dataset = datasets.load_dataset("json", data_files=["./data/dataset.json"], split="train")
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dataset.load_faiss_index("embeddings", "index.faiss")
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def search(query: str, k: int):
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query_embedding = model.encode(query)
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_, retrieved_examples = dataset.get_nearest_examples(
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"embeddings",
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query_embedding,
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k=k,
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)
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results = []
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for text, start, end, title, url in zip(
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retrieved_examples["text"],
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retrieved_examples["start"],
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):
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start = start
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end = end
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result = {
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"title": title,
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"transcript": f"[{str(start)+' ====> '+str(end)}] {text}",
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"link": url
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}
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results.append(result)
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return results
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iface = gr.Interface(
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fn=search,
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inputs=["text", "number"],
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outputs=gr.outputs.JSON(),
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title="Search Dataset",
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description="Search a dataset using Camembert and Faiss.",
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example=[
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"Enter a query to search for.",
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5
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]
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)
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if __name__ == "__main__":
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iface.launch()
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