Create app.py

app.py

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+from langchain_openai import ChatOpenAI
+from langchain.chains import LLMChain
+from promtps import coding_hints_prompt_template
+from langchain.memory.buffer import ConversationBufferMemory
+
+from dotenv import load_dotenv
+
+import chainlit as cl
+
+load_dotenv()
+
+
+@cl.on_chat_start
+def query_llm():
+    llm = ChatOpenAI(model="gpt-4o",
+                     temperature=0.3)
+    conversation_memory = ConversationBufferMemory(memory_key="chat_history",
+                                                   return_messages=True,
+                                                   )
+    llm_chain = LLMChain(llm=llm, prompt=coding_hints_prompt_template, memory=conversation_memory)
+    cl.user_session.set("llm_chain", llm_chain)
+
+
+@cl.on_message
+async def query_llm(message: cl.Message):
+    llm_chain = cl.user_session.get("llm_chain")
+    response = await llm_chain.acall(message.content,
+                                     callbacks=[
+                                         cl.AsyncLangchainCallbackHandler()])
+
+    await cl.Message(response["text"]).send()
+
+example_input = """Implement Selection Sort
+Given a list of numbers, sort it using the Selection Sort algorithm.
+
+Example
+{
+"arr": [5, 8, 3, 9, 4, 1, 7]
+}
+Output:
+
+[1, 3, 4, 5, 7, 8, 9]
+
+
+Constraints:
+1 <= length of the given list <= 4 * 10^3
+-10^9 <= number in the list <= 10^9"""