Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model_name = "microsoft/DialoGPT-medium"  # ممكن تغيره حسب رغبتك
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+chat_history_ids = None
+
+def chat_with_bot(user_input, history=[]):
+    global chat_history_ids
+    input_ids = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors="pt")
+
+    if chat_history_ids is not None:
+        input_ids = torch.cat([chat_history_ids, input_ids], dim=-1)
+
+    output = model.generate(input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
+    chat_history_ids = output
+
+    response = tokenizer.decode(output[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
+    return response
+
+iface = gr.Interface(fn=chat_with_bot, inputs="text", outputs="text", title="ChatBot 🤖")
+iface.launch()