Added the STS task

apps/sts.py

@@ -0,0 +1,51 @@
+import requests
+import streamlit as st
+import time 
+from transformers import pipeline
+import os
+from .utils import query
+
+HF_AUTH_TOKEN = os.getenv('HF_AUTH_TOKEN')
+headers = {"Authorization": f"Bearer {HF_AUTH_TOKEN}"}
+
+def write():
+
+	st.markdown("# Semantic Textual Similarity")
+	st.sidebar.header("Semantic Textual Similarity")
+	st.write(
+		"""Here, you can measure semantic textual similarity using the fine-tuned TURNA STS models. """
+	)
+
+	# Sidebar
+
+	# Taken from https://huggingface.co/spaces/flax-community/spanish-gpt2/blob/main/app.py
+	st.sidebar.subheader("Configurable parameters")
+
+	model_name = st.sidebar.selectbox(
+		"Model Selector",
+		options=[
+			"turna_semantic_similarity_stsb_tr",
+			"turna_semantic_similarity_stsb_tr_NLU",
+			"turna_semantic_similarity_stsb_tr_NLG",
+			"turna_semantic_similarity_stsb_tr_S2S"
+		],
+		index=0,
+	)
+	"""max_new_tokens = st.sidebar.number_input(
+		"Maximum length",
+		min_value=0,
+		max_value=20,
+		value=20,
+		help="The maximum length of the sequence to be generated.",
+	)"""
+	
+	first_text = st.text_area(label='First sentence: ', height=50, 
+			value="Turnayı gözünden vurduk.")
+	second_text = st.text_area(label='Second sentence: ', height=50, 
+			value="Çok iyi kazandık.")
+	url = ("https://api-inference.huggingface.co/models/boun-tabi-LMG/" + model_name.lower())
+	params = {"max_new_tokens": 10 }
+	if st.button("Generate"):
+		with st.spinner('Generating...'):
+			output = query(f"ilk cümle: {first_text} ikinci cümle: {second_text}", url, params)
+			st.success(output)