Upload dzgpt_app.py

dzgpt_app.py

@@ -0,0 +1,43 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import torch
+import datetime
+
+# Chargement du modèle arabe DZ
+model_name = "akhooli/gpt2-small-arabic"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+# Fonction principale avec historique
+
+def chat_fn(message, history):
+    prompt = f"مستخدم: {message}\nالذكاء الاصطناعي:"
+    result = generator(prompt, max_length=100, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id)
+    response = result[0]["generated_text"].split("الذكاء الاصطناعي:")[-1].strip()
+
+    # Sauvegarde historique
+    with open("historique.txt", "a", encoding="utf-8") as f:
+        now = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        f.write(f"[{now}] Utilisateur: {message}\nRéponse: {response}\n---\n")
+
+    return response
+
+# Interface Gradio avec logo
+with gr.Blocks(theme="soft") as demo:
+    gr.Image(value="logo.png", show_label=False, show_download_button=False, container=False, height=150)
+
+    gr.ChatInterface(
+        fn=chat_fn,
+        title="DZGPT 🇩🇿 | دردش مع الذكاء الاصطناعي",
+        description="تحدث مع بوت ذكي باللهجة الجزائرية أو العربية. يدعم الصوت والردود المنطوقة.",
+        examples=["كيفاش داير؟", "أعطيني نكتة", "ترجملي للفرنسية"],
+        retry_btn="🔁 إعادة",
+        clear_btn="🧹 مسح",
+        submit_btn="🗣️ أرسل",
+        input_audio="microphone",
+        output_audio="auto",
+        textbox=gr.Textbox(placeholder="أكتب هنا...", container=True, scale=7)
+    )
+
+demo.launch()