Add sentences and similarity function

app.py

@@ -2,15 +2,20 @@ from sentence_transformers import SentenceTransformer, SimilarityFunction
 
 import streamlit as st
 
-st.
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+model_name = "nomic-ai/nomic-embed-text-v2-moe"
+with st.form("embedding"):
+    sentence1 = st.text_inupt("Sentence 1:","Hello!")
+    sentence2 = st.text_inupt("Sentence 2:","¡Hola!")
+    sim_fun = st.selectbox('Similarity Function', ['COSINE', 'DOT_PRODUCT', 'EUCLIDEAN', 'MANHATTAN'])
+    calculate = st.form_submit_button('Calculate')
 
-model = SentenceTransformer(model_name, trust_remote_code=True)
-embeddings = model.encode(sentences, prompt_name="passage")
+if calculate:
+    model = SentenceTransformer(model_name, trust_remote_code=True)
+    sentences = [sentence1, sentence2]
+    embeddings = model.encode(sentences, prompt_name="passage")
 
-similarity_fn_enum = getattr(SimilarityFunction, similarity_fn.upper())
-model.similarity_fn_name = similarity_fn_enum
+    similarity_fn_enum = getattr(SimilarityFunction, sim_fun)
+    model.similarity_fn_name = similarity_fn_enum
 
-similarities = model.similarity(embeddings[0], embeddings[1])
-print(f"similarity: {similarities}")
+    similarities = model.similarity(embeddings[0], embeddings[1])
+    print(f"similarity: {similarities}")