Update app.py

app.py

@@ -1,14 +1,14 @@
-import torch
-from transformers import pipeline
-import gradio as gr
-import streamlit as st
-from transformers import Speech2TextProcessor, Speech2TextForConditionalGeneration
+#import torch
+#from transformers import pipeline
+#import gradio as gr
+#import streamlit as st
+# from transformers import Speech2TextProcessor, Speech2TextForConditionalGeneration
 # from gradio.mix import Parallel, Series
 
 
-desc = "Summarize your text! (audio transcription available soon)"
-
-
+#desc = "Summarize your text! (audio transcription available soon)"
+import streamlit as st
+from transformers import pipeline
 
 pipe = pipeline('sentiment-analysis')
 text = st.text_area('enter some text!')
@@ -16,9 +16,11 @@ text = st.text_area('enter some text!')
 if text:
   out = pipe(text)
   st.json(out)
-qa_model = 'huggingface/SamuelMiller/qa_squad'
-my_model = 'huggingface/SamuelMiller/lil_sumsum'
-better_model = 'huggingface/google/pegasus-large'
+  
+
+#qa_model = 'huggingface/SamuelMiller/qa_squad'
+#my_model = 'huggingface/SamuelMiller/lil_sumsum'
+#better_model = 'huggingface/google/pegasus-large'
 
 #def summarize(text):
   #summ = gr.Interface.load(qa_model)