Create app.py

app.py

@@ -0,0 +1,35 @@
+from transformers import pipeline
+import pandas as pd
+
+qa_pipeline = pipeline("question-answering", model='deepset/roberta-base-squad2')
+
+def chatbot(question):
+    with open(r"ayurdata.txt", "r", encoding="utf-8") as file:
+        context = file.read()
+    answer = qa_pipeline(question=question, context=context)
+    return answer
+
+def prints(questions):
+    response = chatbot(questions)
+    return response['answer']
+
+import streamlit as st
+st.title("AyurEasy AI Bot")
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+    st.session_state.messages.append({
+        'role':'assistant',
+        'content':"Hi! I'm your AI Bot"
+    })
+for message in st.session_state.messages:
+  with st.chat_message(message["role"]):
+    st.markdown(message["content"])
+prompt = st.chat_input("What is up?")
+if prompt:
+  with st.chat_message("user"):
+    st.markdown(prompt)
+  st.session_state.messages.append({"role":"user","content":prompt})
+  response = f"ChatBot: {prints(prompt)}"
+  with st.chat_message("assistant"):
+    st.markdown(response)
+  st.session_state.messages.append({"role":"assistant","content":response})