env added

Dockerfile

@@ -0,0 +1,15 @@
+FROM python:3.10
+
+WORKDIR /app
+
+
+COPY /src /app/src
+COPY requirements.txt /app/.
+COPY app.py /app/.
+COPY chainlit.md /app/.
+COPY .env /app/.
+
+RUN pip install -r requirements.txt
+
+CMD ["chainlit", "run", "app.py"]
+

README.md

@@ -1,3 +1,12 @@
+---
+title: DR
+emoji: 📚
+colorFrom: red
+colorTo: blue
+sdk: docker
+pinned: false
+---
+
 # Document Reader
 
 Don't waste time reading lengthy Terms and Conditions! Upload your files here and ask anything you want to know.

app.py

@@ -1,6 +1,7 @@
 import os
 import logging
 
+# from dotenv import load_dotenv
 
 #export HNSWLIB_NO_NATIVE = 1
 
@@ -12,12 +13,17 @@ from langchain.memory import ChatMessageHistory, ConversationBufferMemory
 from langchain.chains import ConversationalRetrievalChain
 from langchain.chat_models import ChatOpenAI
 import chainlit as cl
+import openai
 from src.config import Config
 from src.utils import get_docsearch, get_source
 
 # text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
 # embeddings = OpenAIEmbeddings()
 
+# load_dotenv()
+# OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+
 welcome_message = """Welcome to Your Document Reader!
 
 Here to assist you with any questions you have about a file. You can upload a file and ask me questions related to its content. Here's how you can get started:
@@ -99,8 +105,6 @@ async def main(message: cl.Message):
 
     answer = res["answer"]
     source_documents = res["source_documents"]
-
-    
     
     text_elements = get_source(answer, source_documents)
     await cl.Message(content=answer, elements=text_elements).send()