Update app.py

app.py

@@ -36,18 +36,12 @@ def pdf_to_text(pdf_file, query):
   qa = VectorDBQA.from_chain_type(llm=OpenAI(), chain_type="stuff", vectorstore=vectorstore)
   return qa.run(query)
 
-examples = [
-    [os.path.abspath("NASDAQ_AAPL_2020.pdf"), "how much are the outstanding shares ?"],
-    [os.path.abspath("NASDAQ_AAPL_2020.pdf"), "what is competitors strategy ?"],
-    [os.path.abspath("NASDAQ_AAPL_2020.pdf"), "who is the chief executive officer ?"],
-    [os.path.abspath("NASDAQ_MSFT_2020.pdf"), "How much is the guided revenue for next quarter?"],
-]
 
       
 
 
 # Define the Gradio interface
-pdf_input = [gr.inputs.File(label="PDF File"),gr.inputs.Textbox(label="Question:")]
+pdf_input = [gr.inputs.File(label="PDF File")]
 query_input = gr.inputs.Textbox(label="Query")
 outputs = gr.outputs.Textbox(label="Chatbot Response")