Update app.py

app.py

@@ -1,5 +1,3 @@
-import dotenv
-from dotenv import load_dotenv
 import os
 from PyPDF2 import PdfReader
 import docx
@@ -11,36 +9,22 @@ from langchain_openai import OpenAI
 from langchain.callbacks import get_openai_callback
 import gradio as gr
 from aiohttp import web
-import gradio as gr
-
-load_dotenv()
 
+# Load OpenAI API key directly
 os.environ["OPENAI_API_KEY"] = "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"
 
-
+# Function to read text from a file
 def read_txt(file_path):
     with open(file_path, "r") as file:
         text = file.read()
     return text
 
-def read_documents_from_directory(directory):
-    combined_text = ""
-    for filename in os.listdir(directory):
-        file_path = os.path.join(directory, filename)
-        if filename.endswith(".pdf"):
-            combined_text += read_pdf(file_path)
-        elif filename.endswith(".docx"):
-            combined_text += read_word(file_path)
-        elif filename.endswith(".txt"):
-            combined_text += read_txt(file_path)
-    return combined_text
-
-text_file_path = '/content/lawsofpower.txt'
+# Load text from the specified file
+text_file_path = '/home/user/app/content/lawsofpower.txt'
 user_query = read_txt(text_file_path)
 
-char_text_splitter = CharacterTextSplitter(separator="\n", chunk_size=1000,
-                                           chunk_overlap=200, length_function=len)
-
+# Set up text processing components
+char_text_splitter = CharacterTextSplitter(separator="\n", chunk_size=1000, chunk_overlap=200, length_function=len)
 text_chunks = char_text_splitter.split_text(user_query)
 
 embeddings = OpenAIEmbeddings()
@@ -49,6 +33,7 @@ docsearch = FAISS.from_texts(text_chunks, embeddings)
 llm = OpenAI()
 chain = load_qa_chain(llm, chain_type="stuff")
 
+# Define the chatbot interface
 async def chatbot_interface(request):
     data = await request.post()
     input_text = data.get("input_text", "")
@@ -58,8 +43,10 @@ async def chatbot_interface(request):
     
     return web.Response(text=response)
 
+# Set up the web application
 app = web.Application()
 app.router.add_post('/chatbot', chatbot_interface)
 
+# Run the web server
 if __name__ == "__main__":
     web.run_app(app, port=os.getenv("PORT", 8080))