Update app.py

app.py

@@ -1,38 +1,48 @@
-# Step 1: Install Gradio and FPDF (No need to install in Hugging Face Spaces if using requirements.txt)
-# !pip install gradio fpdf
+# Step 1: Install Gradio and FPDF (Hugging Face Spaces will use requirements.txt)
+# !pip install gradio fpdf pandas
 
 # Step 2: Import necessary libraries
 import gradio as gr
 from fpdf import FPDF
+import pandas as pd
+import os
 
 # Step 3: Define a function to handle form submission and generate a PDF file
 def submit_form(name, whatsapp, membership, protest):
-    # Create a PDF object
+    # Save form data to a CSV file (backend storage)
+    data = {'Name': [name], 'WhatsApp': [whatsapp], 'Membership': [membership], 'Protest': [protest]}
+    df = pd.DataFrame(data)
+    
+    # Save CSV in /tmp/ folder (Hugging Face Spaces temporary storage)
+    csv_file = "/tmp/submitted_data.csv"
+    if not os.path.isfile(csv_file):
+        df.to_csv(csv_file, index=False)
+    else:
+        df.to_csv(csv_file, mode='a', header=False, index=False)
+    
+    # Create a PDF object and add form data in formal format (backend storage)
     pdf = FPDF()
     pdf.add_page()
     pdf.set_font("Arial", size=12)
-    
-    # Add form data in formal format
     pdf.cell(200, 10, txt=f"Name: {'_'*50}", ln=True)
     pdf.cell(200, 10, txt=f"WhatsApp Mobile No: {'_'*40}", ln=True)
-    pdf.cell(200, 10, txt=f"Are you want a member of YEP?: {'_'*30}", ln=True)
+    pdf.cell(200, 10, txt=f"Are you a member of YEP?: {'_'*30}", ln=True)
     pdf.cell(200, 10, txt=f"Did you join the protest?: {'_'*35}", ln=True)
     
-    # Now add the user's input
     pdf.ln(10)  # Line break for spacing
     pdf.cell(200, 10, txt=f"Name: {name}", ln=True)
     pdf.cell(200, 10, txt=f"WhatsApp Mobile No: {whatsapp}", ln=True)
     pdf.cell(200, 10, txt=f"Membership of YEP: {membership}", ln=True)
     pdf.cell(200, 10, txt=f"Participation in Protest: {protest}", ln=True)
     
-    # Save the PDF
-    pdf_output_path = "/tmp/form_data.pdf"  # Save in a temporary directory on Hugging Face Space
+    # Save PDF to /tmp/ folder (backend storage)
+    pdf_output_path = "/tmp/form_data.pdf"
     pdf.output(pdf_output_path)
     
-    # Return the path to the generated PDF for download
-    return pdf_output_path
+    # Return a success message instead of the PDF file for the user
+    return "Thank you! Your information has been submitted successfully."
 
-# Step 4: Set up the Gradio interface
+# Step 4: Set up the Gradio interface without showing the downloadable PDF
 with gr.Blocks() as demo:
     gr.Markdown("## Submit Your Information")
     
@@ -47,16 +57,19 @@ with gr.Blocks() as demo:
     6. The new PEC building should be used as an Incubation Center, not for renting purposes.
     """)
     
+    # Form input fields
     name = gr.Textbox(label="Name", placeholder="Enter your name here")
     whatsapp = gr.Textbox(label="WhatsApp Mobile No.", placeholder="Enter your WhatsApp mobile number here")
     membership = gr.Dropdown(label="Are you a member of YEP?", choices=["Yes", "No"], value="No")
     protest = gr.Dropdown(label="Did you join the protest?", choices=["Yes", "No"], value="No")
     
     submit = gr.Button("Submit")
-    pdf_output = gr.File(label="Download your PDF")
+    
+    # Display a message after submission instead of the PDF download link
+    output_message = gr.Textbox(visible=False, label="Output")
     
     # Link the button to the function
-    submit.click(submit_form, inputs=[name, whatsapp, membership, protest], outputs=pdf_output)
+    submit.click(submit_form, inputs=[name, whatsapp, membership, protest], outputs=output_message)
 
 # Step 5: Launch the Gradio app
 demo.launch()