Update app.py

app.py

@@ -15,7 +15,7 @@ from langchain_cohere import CohereEmbeddings
 st.set_page_config(page_title="Document Genie", layout="wide")
 
 st.markdown("""
-## Document Genie: Get instant insights from your Documents
+## PDFChat: Get instant insights from your PDF
 
 This chatbot is built using the Retrieval-Augmented Generation (RAG) framework, leveraging Google's Generative AI model Gemini-PRO. It processes uploaded PDF documents by breaking them down into manageable chunks, creates a searchable vector store, and generates accurate answers to user queries. This advanced approach ensures high-quality, contextually relevant responses for an efficient and effective user experience.
 
@@ -23,9 +23,9 @@ This chatbot is built using the Retrieval-Augmented Generation (RAG) framework,
 
 Follow these simple steps to interact with the chatbot:
 
-1. **Upload Your Documents**: The system accepts a PDF file at one time, analyzing the content to provide comprehensive insights.
+1. **Upload Your Document**: The system accepts a PDF file at one time, analyzing the content to provide comprehensive insights.
 
-2. **Ask a Question**: After processing the documents, ask any question related to the content of your uploaded documents for a precise answer.
+2. **Ask a Question**: After processing the document, ask any question related to the content of your uploaded document for a precise answer.
 """)
 
 #def get_pdf(pdf_docs):
@@ -95,7 +95,7 @@ def main():
     st.header("Chat with your pdf💁")
     st.title("Menu:")
     pdf_docs = st.file_uploader("Upload your PDF File and Click on the Submit & Process Button", accept_multiple_files=False, key="pdf_uploader")
-    query = st.text_input("Ask a Question from the PDF Files", key="query")
+    query = st.text_input("Ask a Question from the PDF File", key="query")
     if st.button("Submit & Process", key="process_button"):
         with st.spinner("Processing..."):
             raw_text = get_pdf(pdf_docs)