setting up chainlit

.gitignore

@@ -0,0 +1,4 @@
+venv/
+**/__pycache__/ 
+.chainlit/
+.env

app.py

@@ -0,0 +1,27 @@
+import os
+
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.embeddings.openai import OpenAIEmbeddings
+import chainlit as cl
+
+
+
+text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
+embeddings = OpenAIEmbeddings()
+
+welcome_message = """ Upload your file here"""
+
+@cl.on_chat_start
+async def start():
+    await cl.Message("you are in ").send()
+    files = None
+    while files is None:
+        files = await cl.AskFileMessage(
+            content=welcome_message,
+            accept=["text/plain", "application/pdf"],
+            max_size_mb=10,
+            timeout=90
+        ).send()
+    file = files[0]
+    msg = cl.Message(content=f"Processing `{type(files)}` {file.name}....")
+    await msg.send()

chainlit.md

@@ -0,0 +1,14 @@
+# Welcome to Chainlit! 🚀🤖
+
+Hi there, Developer! 👋 We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
+
+## Useful Links 🔗
+
+- **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) 📚
+- **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/k73SQ3FyUh) to ask questions, share your projects, and connect with other developers! 💬
+
+We can't wait to see what you create with Chainlit! Happy coding! 💻😊
+
+## Welcome screen
+
+To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.

requirements.txt

@@ -0,0 +1,4 @@
+langchain
+openai
+python-dotenv
+chainlit

src/utils.py

@@ -0,0 +1,8 @@
+from chainlit.types import AskFileResponse
+from langchain.document_loaders import TextLoader
+
+def process_file(file: AskFileResponse):
+    pass
+
+def get_docSearch(file: AskFileResponse):
+    pass