Update app.py

app.py

@@ -1,13 +1,34 @@
 import streamlit as st
 from transformers import pipeline
 
-pipe = pipeline("sentiment-analysis")
+def load_summarizer():
+    whisper = pipeline('automatic-speech-recognition' , model ='openai/whisper-medium') #audio-to-text
+    summarize = pipeline("summarization", device=0)
+    senti = pipeline("sentiment-analysis",device=0)
+    nameentity = pipeline("ner",device=0)
+    translate = pipeline("translation", device=0)
+    return whisper, summarize, senti, nameentity, translate
+
+
+
+
+
+#pipe = pipeline("sentiment-analysis")
 text = st.text_area('Enter some Text!')
 
+
+summarizer = load_summarizer()
+st.title("Summarize Text")
+sentence = st.text_area('Please paste your article :', height=30)
+button = st.button("Click")
+
 if text:
     out=pipe(text)
     st.json(out)
     
     
+ 
+    
+