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Update requirements.txt
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app.py
Verified signatureimport streamlit as st from sentence_transformers import SentenceTransformer # تحميل الموديل @st.cache_resource def load_model(): model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2') return model # واجهة الاستخدام st.title("All-MiniLM-L6-v2 Demo") model = load_model() text_input = st.text_area("اكتب الجملة اللي عايز تحسب لها embeddings:") if st.button("احسب الـ Embedding"): if text_input: embedding = model.encode(text_input) st.write("الـ Embedding vector:") st.write(embedding) st.write(f"الحجم: {len(embedding)}") else: st.warning("من فضلك اكتب جملة أول!")48d69cd -
requirements.txt
Verified signaturetransformers torch sentence-transformers2c3e3b0 -
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