Duplicate from ramdane/search_jurist2

.gitattributes

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README.md

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+---
+title: Search Jurist
+emoji: 📉
+colorFrom: blue
+colorTo: blue
+sdk: gradio
+sdk_version: 3.14.0
+app_file: app.py
+pinned: false
+duplicated_from: ramdane/search_jurist2
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+
+import pickle
+import os
+
+print(os.getcwd())
+fileobj=open("/home/user/app/embmmn7.obj","rb")
+corpus_embeddings,corpus=pickle.load(fileobj)
+fileobj.close()
+from sentence_transformers import SentenceTransformer, util
+import torch
+
+embedder = SentenceTransformer("ramdane/Juri")
+embedder.max_seq_length=510
+def showr(queries,number):
+    query_embedding = embedder.encode(queries, convert_to_tensor=True)
+    hits = util.semantic_search(query_embedding, corpus_embeddings, top_k=10)
+    hits = hits[0]      #Get the hits for the first query
+    if(hits[number]['score']>0.05):
+        return corpus[hits[number]['corpus_id'] ]
+    else:
+        return "لم نتمكن من ايجاد النتيجة اما لعدم وجود الاجتهاد او لعدم كتابة جملة بحث مناسبة " 
+import gradio as gr
+
+def greet(search_for,number):
+    return showr(search_for,int(number))
+
+iface = gr.Interface(fn=greet, inputs=[gr.Textbox(label="ادخل كلمات البحث"),gr.Number(label="الترتيب")], outputs=gr.TextArea(label="الاجتهاد"))
+iface.launch()

embmmn7.obj

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+version https://git-lfs.github.com/spec/v1
+oid sha256:29e8a4a7b7fc9ce25e5a145c095075d953c6295cc918fad99026b494b0ac0c99
+size 29260308

requirements.txt

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+transformers
+torch
+sentence_transformers