text gen concept

app.py

@@ -1,9 +1,18 @@
 import streamlit as st
 from transformers import pipeline
+from transformers import AutoTokenizer
+from transformers import AutoModelForCausalLM
 
-pipe = pipeline('sentiment-analysis')
+
+
+#pipe = pipeline('sentiment-analysis')
+
+pipe = pipeline("text-generation", model="openchat/openchat_3.5")
 text = st.text_area('enter some text!')
 
 if text:
     out = pipe(text)
-    st.json(out)
+    st.json(out)
+
+#Reference
+#GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi<|end_of_turn|>GPT4 Correct User: How are you today?<|end_of_turn|>GPT4 Correct Assistant: