Create app.py

app.py

@@ -0,0 +1,34 @@
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain_groq import ChatGroq
+
+import streamlit as st
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+os.environ["GROQ_API_KEY"] = os.getenv("GROQ_API_KEY")
+os.environ["LANGCHAIN_API_KEY"] = os.getenv("LANGCHAIN_API_KEY")
+os.environ["LANGCHAIN_TRACING_V2"] = "true"
+os.environ["LANGCHAIN_PROJECT"] = "sarcastic_bot"
+
+# build a LLM chain
+promptTemplate = ChatPromptTemplate.from_messages(
+    [
+        ("system", "Reply with {way} to all the questions"),
+        ("user", "Question:{question}"),
+    ]
+)
+
+model = ChatGroq(model="mixtral-8x7b-32768")
+parser = StrOutputParser()
+
+chain = promptTemplate|model|parser
+
+#create streamlit
+st.title("Sarcastic GROQ")
+input_text = st.text_input("Ask you question mate!")
+
+if input_text:
+    st.write(chain.invoke({"way": "sarcasm", "question": input_text}))