Update app.py

app.py

@@ -1,25 +1,10 @@
 import gradio as gr
-from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 
-model_id = "deepseek-ai/deepseek-coder-1.3b-instruct"
-
-# تحميل الموديل والتوكنيزر مع trust_remote_code=True لأن الموديل مخصص
-tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
-
-pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
-
-def chatbot_response(message, history):
-    # استخدام الموديل لتوليد الرد
-    output = pipe(message, max_new_tokens=150, do_sample=True)[0]['generated_text']
-    history = history + [(message, output)]
-    return history, history
-
-with gr.Blocks() as demo:
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox(placeholder="اكتب رسالتك هنا...")
-    state = gr.State([])  # حفظ المحادثة
-
-    msg.submit(chatbot_response, inputs=[msg, state], outputs=[chatbot, state])
-
-demo.launch()
+with gr.Blocks(fill_height=True) as demo:
+    with gr.Sidebar():
+        gr.Markdown("# Inference Provider")
+        gr.Markdown("This Space showcases the deepseek-ai/DeepSeek-V3 model, served by the fireworks-ai API. Sign in with your Hugging Face account to use this API.")
+        button = gr.LoginButton("Sign in")
+    gr.load("models/deepseek-ai/DeepSeek-V3", accept_token=button, provider="fireworks-ai")
+    
+demo.launch()