Update app.py

app.py

@@ -1,23 +1,22 @@
-from huggingface_hub import InferenceClient
 import gradio as gr
+from huggingface_hub import InferenceClient
 
-client = InferenceClient("dexcommunity/dex")  # 👈 apna model yaha lagao
+client = InferenceClient("dexcommunity/dex")  # 👈 Replace with your actual model ID
 
 def respond(message, history, system_message, max_tokens, temperature, top_p):
-    # Prompt bana
-    prompt = "\n".join([
-        f"User: {x[0]}\nDex: {x[1]}" for x in history if x[0] and x[1]
-    ]) + f"\nUser: {message}\nDex:"
+    prompt = ""
+    for user, bot in history:
+        prompt += f"User: {user}\nDex: {bot}\n"
+    prompt += f"User: {message}\nDex:"
 
-    response = ""
     try:
+        response = ""
         for token in client.text_generation(
             prompt,
             max_new_tokens=max_tokens,
-            do_sample=True,
             temperature=temperature,
             top_p=top_p,
-            stream=True
+            stream=True,
         ):
             response += token
             yield response
@@ -27,12 +26,14 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
 demo = gr.ChatInterface(
     fn=respond,
     additional_inputs=[
-        gr.Textbox(value="You are Dex AI", label="System message"),
-        gr.Slider(1, 2048, value=512, step=1, label="Max new tokens"),
+        gr.Textbox(value="You are Dex AI 🤖", label="System Prompt"),
+        gr.Slider(1, 2048, value=512, step=1, label="Max New Tokens"),
         gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p"),
     ],
+    title="Dex 🛡️ — Your Cybersecurity AI",
+    description="Talk to Dex, your friendly cybersecurity and hacking assistant powered by HuggingFace 🤖"
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(share=True)