Upload app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+
+def summarize_text(input_text):
+  summarize=pipeline("summarization", model="Falconsai/text_summarization")
+  summary= summarize(input_text,max_length=1000,min_length=128,do_sample=False)
+  return summary[0]['summary_text']
+#summary_text=summarize_text(text)
+def translate_urdu(english_summary):
+  translator = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ur")
+  urdu_text=translator(english_summary)
+  urdu_summary=urdu_text[0]['translation_text']
+  return urdu_text[0]['translation_text']
+
+def main():
+  
+  st.title(" Text Summarization and Translation")
+  input_text= st.text_area("Enter text to summarize:","")
+  if st.button("Summarize"):
+    if input_text:
+      st.write("English Summary:")
+      english_summary=summarize_text(input_text)
+      st.write(english_summary)
+      if st.button("Translate English to Urdu"):
+        urdu_translation=translate_urdu(english_summary)
+        st.write("Urdu Translation")
+        st.write(urdu_translation)
+        st.write("English summary text")
+        st.write(english_summary)
+if __name__=="__main__":
+  main()