Update app.py

app.py

@@ -17,8 +17,8 @@ from dotenv import load_dotenv
 load_dotenv()
 
 ## Load the Groq API key
-# groq_api_key = os.environ['GROQ_API_KEY']
-# google_api_key = os.environ['GOOGLE_API_KEY']
+groq_api_key = os.environ['GROQ_API_KEY']
+google_api_key = os.environ['GOOGLE_API_KEY']
 
 st.title("Ask your questions from pdf(s) or website")
 option = None
@@ -34,9 +34,9 @@ def get_pdf_processed(pdf_docs):
         for page in pdf_reader.pages:
             text += page.extract_text()
     return text
-# groq_api_key=groq_api_key
+
 def llm_model():
-    llm = ChatGroq(model="mixtral-8x7b-32768")
+    llm = ChatGroq(model="mixtral-8x7b-32768",groq_api_key=groq_api_key)
     prompt = ChatPromptTemplate.from_template(
     """
     Answer the question based on the provided context only.
@@ -59,8 +59,8 @@ def llm_model():
         response = retrieval_chain.invoke({"input":prompt})
         print("Response time :", time.process_time()-start)
         st.write(response['answer'])
-# ,google_api_key=google_api_key
-st.session_state.embeddings =GoogleGenerativeAIEmbeddings(model = 'models/embedding-001')
+
+st.session_state.embeddings =GoogleGenerativeAIEmbeddings(model = 'models/embedding-001',google_api_key=google_api_key)
 st.session_state.text_splitter = RecursiveCharacterTextSplitter(chunk_size =1000, chunk_overlap= 200)
 
 if option: