Update app.py

app.py

@@ -1,6 +1,11 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import os
 
+# ============================================================
+# ১. মডেল আইডি (সিক্রেট থেকে অথবা ডিফল্ট)
+# ============================================================
+model_id = os.getenv("MODEL_ID", "mx-llms/BLM")  # আপনার মডেল আইডি
 
 def respond(
     message,
@@ -12,18 +17,15 @@ def respond(
     hf_token: gr.OAuthToken,
 ):
     """
-    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
+    Hugging Face Inference API ব্যবহার করে স্ট্রিমিং রেসপন্স।
     """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+    client = InferenceClient(token=hf_token.token, model=model_id)
 
     messages = [{"role": "system", "content": system_message}]
-
     messages.extend(history)
-
     messages.append({"role": "user", "content": message})
 
     response = ""
-
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -31,39 +33,35 @@ def respond(
         temperature=temperature,
         top_p=top_p,
     ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
-
+        token = message.choices[0].delta.content or ""
         response += token
         yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# ============================================================
+# ২. ChatInterface UI
+# ============================================================
 chatbot = 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.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
+        gr.Textbox(
+            value="You are BLM, a helpful AI assistant created by MD Mushfiqur Rahim.",
+            label="System message"
         ),
+        gr.Slider(minimum=1, maximum=4096, value=512, 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, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
     ],
+    title="BLM AI Assistant",
+    description="Created by MD Mushfiqur Rahim. Powered by Hugging Face Inference API.",
 )
 
-with gr.Blocks() as demo:
+# ============================================================
+# ৩. Login Button সহ ডেমো
+# ============================================================
+with gr.Blocks(title="BLM AI Assistant") as demo:
     with gr.Sidebar():
         gr.LoginButton()
     chatbot.render()
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()