Update app.py

app.py

@@ -1,11 +1,9 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-import os
 from mitreattack.stix20 import MitreAttackData
 from descriptions import descriptions  # Assurez-vous que descriptions.py est dans le même répertoire
 
 # Chemins des fichiers JSON
-ics_attack_path = 'ics-attack.json'
 enterprise_attack_path = 'enterprise-attack.json'
 
 # Charger les données ATT&CK
@@ -23,14 +21,7 @@ def generate_system_message(log_input):
     description_output = descriptions(log_input)
     return f"""<s>[INST] Given these TTPs: {techniques_str}\n\n and here are the descriptions: {description_output}\n\nFigure out which technique is used in these logs and respond in bullet points and nothing else.[/INST]"""
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
+def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -40,8 +31,6 @@ def respond(
             messages.append({"role": "assistant", "content": val[1]})
 
     messages.append({"role": "user", "content": message})
-    message_content = message
-
     response = ""
 
     for message in client.chat_completion(
@@ -52,15 +41,18 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
+def on_log_input_change(log_input):
+    system_message = generate_system_message(log_input)
+    return system_message
+
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(label="Log Input", placeholder="Enter log here..."),
-        gr.Textbox(label="System message", value="", interactive=False),
+        gr.Textbox(label="Log Input", placeholder="Enter log here...", lines=4),
+        gr.Textbox(value=generate_system_message(""), label="System message", interactive=False),
         gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.1, step=0.1, label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
@@ -69,19 +61,19 @@ demo = gr.ChatInterface(
     description="Enter logs to detect TTPs using the model.",
 )
 
-# Update system message based on log input
+# Met à jour le message système lorsque l'entrée change
 def update_system_message(log_input):
     return generate_system_message(log_input)
 
-demo.additional_inputs[1].update(value=gr.update(value=generate_system_message("")))
+# Fonction pour mettre à jour les valeurs de l'interface
+def interface_update(log_input, *args):
+    system_message = update_system_message(log_input)
+    return gr.update(value=system_message)
 
-# Event handler for log input
-def on_log_input_change(log_input):
-    system_message = generate_system_message(log_input)
-    demo.additional_inputs[1].update(value=gr.update(value=system_message))
-
-# Bind event handler
-demo.additional_inputs[0].change(on_log_input_change)
+# Associe l'entrée des logs à la fonction de mise à jour
+demo.add_component(
+    gr.Textbox(label="Log Input", placeholder="Enter log here...", lines=4, change=interface_update)
+)
 
 if __name__ == "__main__":
     demo.launch()