Upload app.py

app.py

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+import streamlit as st
+
+# from langchain.llms import OpenAI
+from langchain.llms import HuggingFace
+
+## Function to return the response
+def load_answer(question):
+    # llm = OpenAI(model_name="gpt-3.5-turbo")
+    llm = HuggingFace(model_name="google/flan-t5-large")
+    answer = llm(question)
+    return answer
+
+## App UI starts here
+st.set_page_config(page_title="LangChain Demo", page_icon="🦜")
+st.header("🦜️🔗 LangChain Demo")
+
+## Gets the user input
+def get_text():
+    input_text = st.text_input("You: ", key="input")
+    return input_text
+
+user_input = get_text()
+response = load_answer(user_input)
+
+submit = st.button("Generate")
+
+## If generate button is clicked
+if submit:
+    st.subheader("Answer:")
+
+    st.write(response)