Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+import time
+
+# نموذج NOVA AI
+MODEL_NAME = "TheBloke/vicuna-7B-1.1-HF"
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, device_map="auto", torch_dtype=torch.float16)
+
+chat_histories = {}
+PERSONALITY = "أنا NOVA AI 😎، كوميدي، مغربي، وودود. نفهم أي حاجة!"
+
+def chat_nova(user_id, message):
+    start = time.time()
+    if user_id not in chat_histories:
+        chat_histories[user_id] = []
+
+    conversation = PERSONALITY + "\n"
+    for q, a in chat_histories[user_id]:
+        conversation += f"User: {q}\nNOVA AI: {a}\n"
+    conversation += f"User: {message}\nNOVA AI:"
+
+    inputs = tokenizer(conversation, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=200)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True).split("NOVA AI:")[-1].strip()
+
+    chat_histories[user_id].append((message, response))
+    if len(chat_histories[user_id]) > 10:
+        chat_histories[user_id] = chat_histories[user_id][-10:]
+
+    latency = round(time.time() - start, 2)
+    return f"{response}\n\n(⏱ {latency}s)"
+
+# واجهة Gradio Lite
+with gr.Blocks() as demo:
+    gr.Markdown("## NOVA AI Chat 💡\nشبيهة GPT-5، تجاوب سريع، كوميدية ومغربية.")
+    user_id = gr.Textbox(label="ID المستخدم", value="user1")
+    message = gr.Textbox(label="أدخل سؤالك")
+    output = gr.Textbox(label="رد NOVA AI")
+    send_btn = gr.Button("إرسال")
+    send_btn.click(chat_nova, inputs=[user_id, message], outputs=output)
+
+demo.launch()