Added temp, top_k, top_p

apps/home.py

@@ -76,12 +76,30 @@ def write():
 		value=3,
 		help="If set to int > 0, all ngrams of that size can only occur once.",
 	)
+	temp = st.sidebar.slider(
+		"Temperature",
+		value=1.0,
+		min_value=0.1,
+		max_value=100.0,
+		help="The value used to module the next token probabilities.",
+	)
+	top_k = st.sidebar.number_input(
+		"Top k",
+		value=10,
+		help="The number of highest probability vocabulary tokens to keep for top-k-filtering.",
+	)
+	top_p = st.sidebar.number_input(
+		"Top p",
+		value=0.95,
+		help=" If set to float < 1, only the most probable tokens with probabilities that add up to top_p or higher are kept for generation.",
+	)
 
 	input_text = st.text_area(label='Enter a text: ', height=100, 
 		value="Türkiye'nin başkenti neresidir?")
 	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 }
+			"do_sample":do_sample, "num_beams":num_beams, "repetition_penalty":repetition_penalty,
+			 "top_p"=top_p, "top_k"=top_k, "temperature"=temp}
 	if st.button("Generate"):
 		with st.spinner('Generating...'):
 			output = query(input_text, url, params)