testing

app.py

@@ -1,15 +1,18 @@
 import streamlit as st
 from transformers import AutoProcessor, SeamlessM4TModel
 
-st.title("Ed's Awkward Hot Dog? Or Not!!!!!?")
+st.title("Ed's new Hot Dog? Or Not!!!!!?")
 
 processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-large")
 
 model = SeamlessM4TModel.from_pretrained("facebook/hf-seamless-m4t-large")
 
+if "texttotranslate" not in st.session_state:
+    st.session_state.texttotranslate = ""
+
 def submit():
 	st.write('method')
-	mytitle  =  st.session_state.title
+	mytitle  =  st.session_state.texttotranslate
 	text_inputs = processor(text = mytitle, src_lang="eng", return_tensors="pt")
 	output_tokens = model.generate(**text_inputs, tgt_lang="fra", generate_speech=False)
 	translated_text_from_text = processor.decode(output_tokens[0].tolist()[0], skip_special_tokens=True)