Update app.py

app.py

@@ -1,11 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
+# Replace with your actual model path on HF Hub
+client = InferenceClient("dexcommunity/dex")
 
 def respond(
     message,
@@ -27,27 +24,27 @@ def respond(
 
     response = ""
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
+    # NOTE: For causal models like Dex, use `client.text_generation()` instead of `chat_completion`
+    prompt = "\n".join([f"User: {m['content']}" if m["role"] == "user" else f"Dex: {m['content']}" for m in messages])
+    prompt += "\nDex:"
+
+    for token in client.text_generation(
+        prompt,
+        max_new_tokens=max_tokens,
+        do_sample=True,
         temperature=temperature,
         top_p=top_p,
+        stream=True
     ):
-        token = message.choices[0].delta.content
-
         response += token
         yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Gradio Chat Interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Textbox(value="You are a helpful Indian AI assistant named Dex.", label="System message"),
+        gr.Slider(minimum=1, maximum=1024, value=256, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
@@ -57,8 +54,9 @@ demo = gr.ChatInterface(
             label="Top-p (nucleus sampling)",
         ),
     ],
+    title="🛡️ Dex - Indian Cybersecurity Chatbot",
+    description="Dex is a cybersecurity-trained AI assistant that can help you understand infosec, CTFs, payloads, and general queries. Created by ghosthets (Gaurav Chouhan)."
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()