Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# Load model
+model_name = "OpenAssistant/oasst-sft-3-gpt-j-3B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Device
+device = torch.device("cpu")
+model.to(device)
+
+def generate(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(device)
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=200,
+        do_sample=True,
+        temperature=0.7
+    )
+    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return text
+
+# Gradio interface làm API
+iface = gr.Interface(
+    fn=generate,
+    inputs=gr.Textbox(lines=5, placeholder="Nhập prompt…"),
+    outputs=gr.Textbox(),
+    title="OASST-J-3B API"
+)
+
+iface.launch(server_name="0.0.0.0", server_port=7860)