env config

.env-sample

@@ -0,0 +1 @@
+HUGGINGFACEHUB_API_TOKEN=""

app.py

@@ -2,12 +2,10 @@ import streamlit as st
 from langchain import HuggingFaceHub
 
 
-def get_answer(question,model):
+def get_answer(question,model_name="google/flan-t5-small"):
+    model=HuggingFaceHub(repo_id=model_name)
     return model(question)
 
-def get_model():
-    model=HuggingFaceHub("google/flan-t5-small")
-    return model
 
 st.set_page_config(
     page_title="Simple Q&A App",
@@ -19,12 +17,11 @@ st.header("Do It!!!!. Ask the Question.....")
 
 question=st.text_input("Question:")
 
-model=get_model()
 
 submit=st.button("Submit")
 
 if submit:
     with st.spinner("In progress..."):
-        response=model(question)
-
+        response=get_answer(question)
+    st.subheader("Response")
     st.text_area(f"{response}")

requirements.txt

@@ -1,2 +1,3 @@
 streamlit
-langchain
+langchain
+huggingface-hub