Update app.py

app.py

@@ -1,14 +1,10 @@
 import os
-from PyPDF2 import PdfReader
-import docx
 from langchain.text_splitter import CharacterTextSplitter
 from langchain.embeddings.openai import OpenAIEmbeddings
 from langchain.vectorstores import FAISS
 from langchain.chains.question_answering import load_qa_chain
 from langchain_openai import OpenAI
-from langchain.callbacks import get_openai_callback
 import gradio as gr
-from aiohttp import web
 
 # Set your OpenAI API key
 os.environ["OPENAI_API_KEY"] = "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"
@@ -42,19 +38,10 @@ 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", "")
-    
+def chatbot_interface(input_text):
     docs = docsearch.similarity_search(input_text)
     response = chain.run(input_documents=docs, question=input_text)
-    
-    return web.Response(text=response)
+    return 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))
+iface = gr.Interface(fn=chatbot_interface, inputs="text", outputs="text")
+iface.launch()