Create app.py

app.py

@@ -0,0 +1,52 @@
+"""
+Created on Sun Oct 01 10:49:43 2023
+@author: Loges
+"""
+
+import streamlit as st
+# import sentencepiece
+# from transformers import pipeline, T5Tokenizer, T5ForConditionalGeneration
+
+# model=T5ForConditionalGeneration.from_pretrained("Logeswaransr/AI_Chaperone").to("cpu")
+# tokenizer=T5Tokenizer.from_pretrained("Logeswaransr/AI_Chaperone")
+
+# pipe=pipeline('text2text-generation', model=model, tokenizer=tokenizer)
+
+greetings=["Hello!","I am AI Chaperone. Your special virtual assistant for your needs.", "Feel free to ask me anything. I will do what I can."]
+
+st.set_page_config(page_title='AI Chaperone', layout='wide')
+
+if 'messages' not in st.session_state:
+    st.session_state.messages=[]
+
+    for gr in greetings:
+        st.session_state.messages.append({
+            'role':'assistant',
+            'content': gr})
+    
+
+st.subheader("AI Chaperone")
+
+for message in st.session_state.messages:
+    with st.chat_message(message['role']):
+        st.markdown(message['content'])
+
+if prompt:=st.chat_input("Enter your query"):
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    st.session_state.messages.append({
+        'role':'user',
+        'content': prompt})
+
+    # out=pipe(prompt)
+    # response=out[0]['generated_text']
+    
+    # response = f"Analysis: {response}"
+    
+    with st.chat_message("assistant"):
+        st.markdown(prompt)
+        
+    st.session_state.messages.append({
+        'role':'assistant',
+        'content': prompt})