testing

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from transformers import AutoProcessor, SeamlessM4TModel
 
-st.title("Ed's new Hot Dog? Or Not!!!!!?")
+st.title("Ed's working Hot Dog? Or Not!!!!!?")
 
 processor = AutoProcessor.from_pretrained("facebook/hf-seamless-m4t-large")
 
@@ -19,18 +19,17 @@ def submit():
 	st.write(translated_text_from_text)
 
 
-title = "my dog is fat"
-title = st.text_input('hello', "fat cats", on_change=submit)
+st.text_input('hello', "fat cats", on_change=submit)
 
 
 
-text_inputs = processor(text = title, src_lang="eng", return_tensors="pt")
+#text_inputs = processor(text = title, src_lang="eng", return_tensors="pt")
 
 # from text
-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)
+#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)
 
-st.write(translated_text_from_text)
+#st.write(translated_text_from_text)
 st.write("fool me")