Update app.py

app.py

@@ -3,10 +3,9 @@ import os
 import PyPDF2
 import pandas as pd
 import openai
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
-from langchain.llms import OpenAI
+from langchain_community.embeddings import OpenAIEmbeddings
+from langchain_community.vectorstores import FAISS
+from langchain_community.llms import OpenAI
 
 def detect_language(text):
     """Detects the language of the input text using OpenAI."""
@@ -70,9 +69,9 @@ def get_answer(question, vector_db):
 
 def chatbot_interface(pdf_files, txt_files, csv_files, question):
     text = ""
-    text += get_text_from_pdf(pdf_files) if pdf_files else ""
-    text += get_text_from_txt(txt_files) if txt_files else ""
-    text += get_text_from_csv(csv_files) if csv_files else ""
+    text += get_text_from_pdf([pdf_files]) if pdf_files else ""
+    text += get_text_from_txt([txt_files]) if txt_files else ""
+    text += get_text_from_csv([csv_files]) if csv_files else ""
     
     if not text:
         return "Please upload files before asking questions."
@@ -83,9 +82,9 @@ def chatbot_interface(pdf_files, txt_files, csv_files, question):
 # Gradio interface
 demo = gr.Interface(
     fn=chatbot_interface,
-    inputs=[gr.File(file_types=[".pdf"], multiple=True),
-            gr.File(file_types=[".txt"], multiple=True),
-            gr.File(file_types=[".csv"], multiple=True),
+    inputs=[gr.File(file_types=[".pdf"]),
+            gr.File(file_types=[".txt"]),
+            gr.File(file_types=[".csv"]),
             gr.Textbox(placeholder="Type your question here...")],
     outputs=gr.Textbox()
 )