Adding application file

app.py

@@ -0,0 +1,47 @@
+# https://huggingface.co/blog/streamlit-spaces
+# https://huggingface.co/docs/hub/en/spaces-sdks-streamlit
+
+import streamlit as st
+from transformers import pipeline
+from string import punctuation
+import pandas as pd
+
+# Load the pipeline with your specific model
+model_pipeline = pipeline(task="text-classification", model="bdsl/HanmunRoBERTa")
+
+# Streamlit app layout
+title = "HanmunRoBERTa Century Classifier"
+st.title(title)
+st.set_page_config(layout=layout, page_title=title, page_icon="📚")
+
+# Checkbox to remove punctuation
+remove_punct = st.checkbox(label="Remove punctuation", value=True)
+
+# Text area for user input
+input_str = st.text_area("Input text", height=275)
+
+
+# Remove punctuation if checkbox is selected
+if remove_punct and input_text:
+	# Specify the characters to remove
+	characters_to_remove = "○□()〔〕:\"。·, ?ㆍ" + punctuation
+    translating = str.maketrans('', '', characters_to_remove)
+    input_str = input_str.translate(translating)
+
+# Display the input text after processing
+st.write("Processed input:", input_str)
+
+# Predict and display the classification scores if input is provided
+if st.button("Classify"):
+    if input_str:
+        predictions = model_pipeline(input_str)
+        
+        # Prepare the data for plotting
+        labels = [prediction['label'] for prediction in predictions]
+        scores = [prediction['score'] for prediction in predictions]
+        data = pd.DataFrame({"Label": labels, "Score": scores})
+        
+        # Displaying predictions as a bar chart
+        st.bar_chart(data.set_index('Label'))
+    else:
+        st.write("Please enter some text to classify.")