Upload app.py

app.py

@@ -1,21 +1,20 @@
 from langchain import HuggingFaceHub
-from langchain.schema import AIMessage
+
 from dotenv import load_dotenv
+
 import streamlit as st
 
-# Load environment variables
+# variable d'environement
 load_dotenv()
 
-# Initialize HuggingFace model outside the app
+#  HuggingFace model 
 llm_huggingface = HuggingFaceHub(repo_id="google/flan-t5-large", model_kwargs={"temperature": 0.0, "max_length": 64})
 
 # Streamlit app 
 st.set_page_config(page_title="Chatbot")
 st.header('Langchain Application')
 
-# Remove the session_state initialization as it's not being used in this example
-
-# Function to load HuggingFace model and get response
+# Function to get responsr
 def get_huggingface_response(question):
     response = llm_huggingface(question) 
     return response
@@ -26,10 +25,9 @@ user_input = st.text_input("Input: ", key="input")
 # Streamlit button
 submit = st.button('Generate')
 
-# Check if button is clicked
+
 if submit: 
-    # Call function to get response
+   
     response = get_huggingface_response(user_input)
-    # Display response
     st.subheader("The response is ")
     st.write(response)