m

app.py

@@ -1,18 +1,13 @@
 import streamlit as st
-from langchain_groq import ChatGroq
-from dotenv import load_dotenv
-import os
-load_dotenv()
-GROQ_API_KEY= os.getenv('GROQ_API_KEY')
-
-llm = ChatGroq(api_key=GROQ_API_KEY, model="llama-3.1-8b-instant")
+from transformers import pipeline 
 
+pipe = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis",device=1)
 # Streamlit UI
-st.title("Groq AI Chatbot")
+st.title("Sentiment analyzer")
 st.write("Enter your message below:")
 
 user_input = st.text_input("You:", "")
 
 if st.button("Submit") and user_input:
-    response = llm.invoke(user_input).content
+    response = pipe(user_input)[0]
     st.text_area("Groq AI:", response, height=200)

requirements.txt

@@ -1,5 +1,6 @@
 streamlit 
 requests 
-langchain_groq
-langchain 
+ 
 python-dotenv
+transformers
+torch