Update Gradio_UI.py

Gradio_UI.py

@@ -12,8 +12,6 @@ from smolagents.memory import MemoryStep
 from smolagents.utils import _is_package_available
 
 import gradio as gr
-import csv
-import datetime
 from fpdf import FPDF
 from langdetect import detect
 
@@ -53,6 +51,8 @@ QUESTIONS = [
     ("compliance_contact", "Who is the contact person for compliance (email or name)?")
 ]
 
+RESPONSES = {}
+
 # === Interactive Collection Flow ===
 def step_by_step_agent(user_input, state):
     if state is None:
@@ -98,13 +98,15 @@ def step_by_step_agent(user_input, state):
 Generated by AI Act Assistant.
 """
 
+    import csv
+import datetime
+
     try:
         detected_lang = detect(filled_template)
     except:
         detected_lang = "en"
 
     flag = "🇬🇧" if detected_lang == "en" else "🇫🇷"
-
     # Save to CSV
     csv_file = "ai_act_registers.csv"
     fieldnames = [key for key, _ in QUESTIONS] + ["timestamp"]
@@ -118,18 +120,24 @@ Generated by AI Act Assistant.
         writer.writerow(row_data)
 
     pdf_path = export_text_to_pdf(filled_template, language=detected_lang)
-    return f"{flag} Language detected: {detected_lang.upper()}\n✅ All answers received. Download your AI Act compliance PDF below.", {"done": True, "pdf": pdf_path}
+    return f"{flag} Language detected: {detected_lang.upper()}
+✅ All answers received. Download your AI Act compliance PDF below.", {"done": True, "pdf": pdf_path}
 
 # === UI for Step-by-Step Form ===
 def launch_step_by_step_ui():
     with gr.Blocks(fill_height=True) as demo:
-        reset_csv = gr.Button("🗑️ Reset CSV File")
-        csv_download = gr.File(value="ai_act_registers.csv", label="📥 Download All Registers (.csv)", visible=os.path.exists("ai_act_registers.csv"))
-
+        initial_question = QUESTIONS[0][1]
         initial_message = gr.ChatMessage(role="assistant", content=(
+            "👋 Welcome! I will guide you through the AI Act compliance form.
+"
             "👋 Welcome! I will guide you through the AI Act compliance form.\n"
             "Let's begin with a few questions to generate your compliance register.\n"
-            "Please answer the following:"
+            "Please answer the following:
+
+" + QUESTIONS[0][1]
+    }
+  ]
+}"
         ))
         stored_messages = gr.State([initial_message])
         chatbot = gr.Chatbot(type="messages", value=stored_messages)
@@ -150,14 +158,8 @@ def launch_step_by_step_ui():
         def restart_conversation():
             return [initial_message], {"step": 0, "answers": {}}, None
 
-        def delete_csv():
-            if os.path.exists("ai_act_registers.csv"):
-                os.remove("ai_act_registers.csv")
-            return None
-
         msg.submit(chat_logic, [msg, state], [chatbot, state, file_output])
         restart_button.click(restart_conversation, outputs=[chatbot, state, file_output])
-        reset_csv.click(delete_csv, outputs=[])
 
     demo.launch()