Fixed indentation error

apps/summarization.py

@@ -19,54 +19,54 @@ def write():
 
 	# Sidebar
 
-    # Taken from https://huggingface.co/spaces/flax-community/spanish-gpt2/blob/main/app.py
-    st.sidebar.subheader("Configurable parameters")
+	# 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_summarization_mlsum",
-            "turna_summarization_tr_news",
-        ],
-        index=0,
-    )
-    max_new_tokens = st.sidebar.number_input(
-        "Maximum length",
-        min_value=0,
-        max_value=128,
-        value=128,
-        help="The maximum length of the sequence to be generated.",
-    )
-    length_penalty = st.sidebar.number_input(
-        "Length penalty",
-        value=2.0,
-        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.",
-    )
+	model_name = st.sidebar.selectbox(
+		"Model Selector",
+		options=[
+			"turna_summarization_mlsum",
+			"turna_summarization_tr_news",
+		],
+		index=0,
+	)
+	max_new_tokens = st.sidebar.number_input(
+		"Maximum length",
+		min_value=0,
+		max_value=128,
+		value=128,
+		help="The maximum length of the sequence to be generated.",
+	)
+	length_penalty = st.sidebar.number_input(
+		"Length penalty",
+		value=2.0,
+		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=200, 
 			value="Kalp krizi geçirenlerin yaklaşık üçte birinin kısa bir süre önce grip atlattığı düşünülüyor. Peki grip virüsü ne yapıyor da kalp krizine yol açıyor? Karpuz şöyle açıkladı: Grip virüsü kanın yapışkanlığını veya pıhtılaşmasını artırıyor.")