Update app.py

app.py

@@ -1,20 +1,23 @@
 import os
 
-# ১. requirements.txt আপডেট করা
+# ১. requirements.txt আপডেট করা (Inference Client এর জন্য)
 with open("requirements.txt", "w") as f:
     f.write("gradio\nhuggingface_hub\n")
 
-# ২. app.py আপডেট করা
+# ২. app.py আপডেট করা (Public Access Version)
 app_code = """
 import gradio as gr
 from huggingface_hub import InferenceClient
 import os
 
-# Get token from Hugging Face Space Secrets
+# Space Settings-এর Secrets থেকে টোকেনটি নেবে
 hf_token = os.getenv('HF_TOKEN')
 
-# Initialize client for mx-llms/BLM
-client = InferenceClient(token=hf_token, model='mx-llms/BLM')
+# মডেল আইডি
+model_id = 'mx-llms/BLM'
+
+# Client ইনিশিয়ালাইজ করা (এটি আপনার টোকেন ব্যবহার করে কাজ করবে)
+client = InferenceClient(token=hf_token, model=model_id)
 
 def respond(
     message,
@@ -26,6 +29,7 @@ def respond(
 ):
     messages = [{"role": "system", "content": system_message}]
 
+    # চ্যাট হিস্ট্রি যোগ করা
     for h in history:
         messages.append(h)
 
@@ -33,7 +37,7 @@ def respond(
 
     response = ""
 
-    # Using the token-based client for streaming
+    # ইনফারেন্স কল (স্ট্রিমিং সহ)
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -46,8 +50,8 @@ def respond(
             response += token
             yield response
 
-# Gradio UI setup
-chatbot = gr.ChatInterface(
+# Gradio চ্যাট ইন্টারফেস
+demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="You are BLM. Created by MD Mushfiqur Rahim.", label="System message"),
@@ -55,14 +59,16 @@ chatbot = gr.ChatInterface(
         gr.Slider(minimum=0.1, maximum=2.0, value=0.1, step=0.1, label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0, value=0.9, step=0.05, label="Top-p"),
     ],
-    type="messages"
+    type="messages",
+    title="BLM AI Assistant",
+    description="Created by MD Mushfiqur Rahim. This assistant is ready to help everyone!"
 )
 
 if __name__ == '__main__':
-    chatbot.launch()
+    demo.launch()
 """
 
 with open("app.py", "w") as f:
     f.write(app_code)
 
-print("✅ app.py has been updated to use the HF_TOKEN secret!")
+print("✅ Public access app.py created successfully!")