Upload 2 files

app.py

@@ -0,0 +1,46 @@
+from langchain_groq import ChatGroq
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+import streamlit as st
+
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
+
+## Langsmith Tracking
+os.environ['LANGCHAIN_API_KEY'] = os.getenv('LANGCHAIN_API_KEY')
+os.environ['LANGCHAIN_TRACING_V2'] = 'true'
+os.environ['LANGCHAIN_PROJECT'] = "Simple Q&A Chatbot With OpenAI"
+os.environ['GROQ_API_KEY'] = os.getenv('GROQ_API_KEY')
+
+## Prompt Template
+propmt = ChatPromptTemplate(
+    [
+        ("system", "You are an helpful AI assistant. Please answer to the questions to the best of your ability."),
+        ("human","question:{question}"),
+    ]
+)
+
+
+def get_response(question, model):
+    model = ChatGroq(model=model)
+    output_parser = StrOutputParser()
+    chain = propmt|model|output_parser
+    response = chain.invoke({"question": question})
+    return response
+
+
+st.title("Simple Q&A Chatbot With GROQ")
+
+model = st.selectbox("Select a model", ["llama-3.1-8b-instant","gemma2-9b-it","llama-3.1-405b-reasoning"])
+st.write("This is a simple Q&A chatbot that uses GROQ to answer questions. Ask any question and the chatbot will try to answer it.")
+input_question = st.text_input("Ask a question")
+
+if input_question:
+    response = get_response(input_question, model)
+    st.write(response)
+else:
+    st.write("Please ask a question")
+
+

requirements.txt

@@ -0,0 +1,6 @@
+langchain_groq
+langchain
+python-dotenv
+langchain_community
+langchain_core
+streamlit