Update app.py

app.py

@@ -63,15 +63,16 @@ with gr.Blocks() as interface:
     with gr.Tab("🧬 Classifier"):
         gr.Markdown("# 🧬 mtDNA Location Classifier (MVP)")
         #inputMode = gr.Radio(choices=["Single Accession", "Batch Input"], value="Single Accession", label="Choose Input Mode")
-        #user_email = gr.Textbox(label="📧 Your email (used to track free quota)")
+        user_email = gr.Textbox(label="📧 Your email (used to track free quota). ",
+                                placeholder="Enter your email and click Submit and Classify button below to run accessions.\nYou'll get +20 extra free queries and Excel-formatted results.")
             
-        sign_in_button = gr.Button("Sign in to Download")
-        user_email = gr.Textbox(
-            label="📧 Your email (used to track free quota)",
-            visible=False
-        )
-        # The output will be used to display a message to the user
-        output_message = gr.Textbox(visible=False, interactive=False)
+        # sign_in_button = gr.Button("Sign in to Download")
+        # user_email = gr.Textbox(
+        #     label="📧 Your email (used to track free quota)",
+        #     visible=False
+        # )
+        # # The output will be used to display a message to the user
+        # output_message = gr.Textbox(visible=False, interactive=False)
         usage_display = gr.Markdown("", visible=False)
     
         # with gr.Group() as single_input_group:
@@ -85,8 +86,8 @@ with gr.Blocks() as interface:
         #     file_upload = gr.File(label="📁 Or Upload CSV/Excel File", file_types=[".csv", ".xlsx"], interactive=True, elem_id="file-upload-box")
         raw_text = gr.Textbox(label="🧚 Input Accession Number(s) (single (KU131308) or comma-separated (e.g., MF362736.1,MF362738.1,KU131308,MW291678))")
         #resume_file = gr.File(label="🗃️ Previously saved Excel output (optional)", file_types=[".xlsx"], interactive=True)
-        gr.HTML("""<a href="https://docs.google.com/spreadsheets/d/1lKqPp17EfHsshJGZRWEpcNOZlGo3F5qU/edit?usp=sharing" download target="_blank">Example Excel Batch Input Format</a>""")
-        file_upload = gr.File(label="📁 Or Upload CSV/Excel File", file_types=[".csv", ".xlsx"], interactive=True)
+        gr.HTML("""<a href="https://docs.google.com/spreadsheets/d/1lKqPp17EfHsshJGZRWEpcNOZlGo3F5qU/edit?usp=sharing" download target="_blank">Example Excel Input Template</a>""")
+        file_upload = gr.File(label="📁 Or Upload Excel File", file_types=[".xlsx"], interactive=True)
         processed_info = gr.Markdown(visible=False)  # new placeholder for processed list
         
         with gr.Row():
@@ -112,20 +113,20 @@ with gr.Blocks() as interface:
               
           #     gr.Markdown("---")
             
-          with gr.Accordion("Open to See the Output Table", open=False) as table_accordion:    
+          with gr.Accordion("Open to See the Output Table", open=True) as table_accordion:    
               output_table = gr.HTML(render=True)
           #with gr.Row():
               #output_type = gr.Dropdown(choices=["Excel", "JSON", "TXT"], label="Select Output Format", value="Excel")
               #download_button = gr.Button("⬇️ Download Output")
           #download_file = gr.File(label="Download File Here",visible=False)
         
-          report_button = gr.Button("Report the bad output to get back one more free sample query")
+          report_button = gr.Button("Report inaccurate output to receive 1 extra free query",elem_id="run-btn")
           report_textbox = gr.Textbox(
             label="Describe the issue",
             lines=4,
             placeholder="e.g. DQ981467: it gives me unknown when I can in fact search it on NCBI \n DQ981467: cannot find the result in batch output when the live processing did show already processed",
             visible=False) 
-          submit_report_button = gr.Button("Submit", visible=False)
+          submit_report_button = gr.Button("Submit", visible=False, elem_id="run-btn")
           status_report = gr.Markdown(visible=False)  
 
           with gr.Group(visible=True, elem_id="nps-overlay") as nps_modal: