Added config params to Turna

apps/home.py

@@ -5,8 +5,6 @@ from transformers import pipeline
 import os
 from .utils import query
 
-API_URL = "https://api-inference.huggingface.co/models/boun-tabi-LMG/TURNA"
-
 def write():
     st.markdown(
             """
@@ -35,9 +33,56 @@ def write():
 
     #st.title('Turkish Language Generation')
     #st.write('...with Turna')
-    input_text = st.text_area(label='Enter a text: ', height=100, 
+
+    # Sidebar
+
+	# Taken from https://huggingface.co/spaces/flax-community/spanish-gpt2/blob/main/app.py
+	st.sidebar.subheader("Configurable parameters")
+
+	max_new_tokens = st.sidebar.number_input(
+		"Maximum length",
+		min_value=0,
+		max_value=512,
+		value=128,
+		help="The maximum length of the sequence to be generated.",
+	)
+	length_penalty = st.sidebar.number_input(
+		"Length penalty",
+		value=1.0,
+		help=" length_penalty > 0.0 promotes longer sequences, while length_penalty < 0.0 encourages shorter sequences. ",
+	)
+	do_sample = st.sidebar.selectbox(
+		"Sampling?",
+		(True, False),
+		help="Whether or not to use sampling; use greedy decoding otherwise.",
+	)
+	num_beams = st.sidebar.number_input(
+		"Number of beams",
+		min_value=1,
+		max_value=10,
+		value=3,
+		help="The number of beams to use for beam search.",
+	)
+	repetition_penalty = st.sidebar.number_input(
+		"Repetition Penalty",
+		min_value=0.0,
+		value=3.0,
+		step=0.1,
+		help="The parameter for repetition penalty. 1.0 means no penalty",
+	)
+	no_repeat_ngram_size = st.sidebar.number_input(
+		"No Repeat N-Gram Size",
+		min_value=0,
+		value=3,
+		help="If set to int > 0, all ngrams of that size can only occur once.",
+	)
+
+	input_text = st.text_area(label='Enter a text: ', height=100, 
         value="Türkiye'nin başkenti neresidir?")
-    if st.button("Generate"):
-        with st.spinner('Generating...'):
-            output = query(input_text, API_URL)
-            st.success(output)
+    url = "https://api-inference.huggingface.co/models/boun-tabi-LMG/TURNA"
+	params = {"length_penalty": length_penalty, "no_repeat_ngram_size": no_repeat_ngram_size, "max_new_tokens": max_new_tokens,
+            "do_sample":do_sample, "num_beams":num_beams, "repetition_penalty":repetition_penalty }
+	if st.button("Generate"):
+		with st.spinner('Generating...'):
+			output = query(input_text, url, params)
+			st.success(output)