Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import PyPDF2
-
+pip install google-genai
 from secret1 import GOOGLE_API as google_api
 from langchain.llms import GooglePalm
 from langchain.embeddings import HuggingFaceInstructEmbeddings
@@ -9,7 +9,7 @@ from langchain.embeddings import GooglePalmEmbeddings
 from langchain.vectorstores import FAISS
 from langchain.document_loaders import PyPDFLoader
 from langchain.chains import RetrievalQA
-from google import genai
+from google import 
 # Define chatbot response function
 def chatbot_response(user_input):
     # Example: returning a placeholder response, update with actual chatbot logic
@@ -55,7 +55,7 @@ def text_extract(file):
     # print("FitBot:",result1['result'])
     # Split extracted text into chunks
     # result = helper(text_splitter)  # Call helper to process text chunks
-    client = genai.Client(api_key="AIzaSyBaY8zx4ak0t4TkBp28lL2hLqREzlN_Mb0")
+    client = genai.Client(api_key="AIzaSyBaY8zx4ak0t4TkBp28lL2hLqREzlN_Mb0",location='us-central1')
     response = client.models.generate_content(
     model="gemini-2.0-flash", contents=f"you will be given the input data you have to answer the question according to the user input : {text}"
 )