with input

app.py

@@ -1,29 +1,25 @@
 import streamlit as st
 from transformers import pipeline
 
-pipeline = pipeline(task="summarization", model="lidiya/bart-large-xsum-samsum")
+# Set up the summarization pipeline
+summarizer = pipeline(task="summarization", model="lidiya/bart-large-xsum-samsum")
 
-st.title("Résumé de conversation avec BART")
-txt = """Hannah: Hey, do you have Betty's number?
-Amanda: Lemme check
-Amanda: Sorry, can't find it.
-Amanda: Ask Larry
-Amanda: He called her last time we were at the park together
-Hannah: I don't know him well
-Amanda: Don't be shy, he's very nice
-Hannah: If you say so..
-Hannah: I'd rather you texted him
-Amanda: Just text him 🙂
-Hannah: Urgh.. Alright
-Hannah: Bye
-Amanda: Bye bye
-"""
+# Title for the Streamlit app
+st.title("Huggingface Summarizer App")
 
-col1, col2 = st.columns(2)
-summary = pipeline(txt)
+# Create a sidebar for input
+with st.sidebar:
+    st.header("Input")
+    input_text = st.text_area("Enter your text to be summarized:")
 
-col1.header("Texte original")
-col1.subheader(txt)
-
-col2.header("Texte résumé")
-col2.subheader(summary)
+# Create a button to start the summarization
+if st.button("Summarize"):
+    # If the input box isn't empty, process the input and generate a summary
+    if input_text:
+        summary = summarizer(input_text, max_length=256, min_length=0, do_sample=False)
+        st.subheader("Summary")
+        st.write(summary[0]["summary_text"])
+    else:
+        st.warning("Please enter some text to summarize.")
+else:
+    st.subheader("Summary will appear here...")