Changed filename

app.py

@@ -19,13 +19,13 @@ st.markdown(
         unsafe_allow_html=True,
     )
 
-    st.write("#")
+st.write("#")
 
-    col = st.columns(2)
+col = st.columns(2)
 
-    col[0].image("images/turna-logo.png", width=100)
+col[0].image("images/turna-logo.png", width=100)
 
-    st.markdown(
+st.markdown(
         """
 
         <h3 style="text-align:right;">TURNA is a Turkish encoder-decoder language model.</h3>
@@ -37,14 +37,14 @@ st.markdown(
         unsafe_allow_html=True,
     )
 
-    #st.title('Turkish Language Generation')
-    #st.write('...with Turna')
-    input_text = st.text_area(label='Enter a text: ', height=100, 
-        value="Türkiye'nin başkeni neresidir?")
-    if st.button("Generate"):
-        with st.spinner('Generating...'):
-            output = query(input_text)
-            st.success(output)
+#st.title('Turkish Language Generation')
+#st.write('...with Turna')
+input_text = st.text_area(label='Enter a text: ', height=100, 
+    value="Türkiye'nin başkeni neresidir?")
+if st.button("Generate"):
+    with st.spinner('Generating...'):
+        output = query(input_text)
+        st.success(output)
 
 def query(payload):
     #{"inputs": payload, ""}

pages/{Summarization.py → 1_Text_Summarization.py}

@@ -2,6 +2,7 @@ import requests
 import streamlit as st
 import time 
 from transformers import pipeline
+import os
 
 st.set_page_config(page_title="Text Summarization", page_icon="📈")
 API_URL = "https://api-inference.huggingface.co/models/boun-tabi-LMG/turna_summarization_mlsum"
@@ -22,9 +23,9 @@ if st.button("Generate"):
         st.success(output)
 
 def query(payload):
-    #{"inputs": payload, ""}
+    data = {"inputs": payload, "parameters": {"length_penalty": 2.0, "no_repeat_ngram_size": 3}}
 	while True:
-		response = requests.post(API_URL, headers=headers, json=payload)
+		response = requests.post(API_URL, headers=headers, json=data)
 		if 'error' not in response.json():
 			output = response.json()[0]["generated_text"]
 			return output