Create app.py

app.py

@@ -0,0 +1,90 @@
+import gradio as gr
+import torch
+
+from transformers import (
+    AutoTokenizer,
+    AutoModelForCausalLM
+)
+
+
+MODEL_ID = "ddfws/Rezaeian-StatsAI"
+
+
+print("Loading tokenizer...")
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+
+
+print("Loading model...")
+
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+
+model.eval()
+
+
+system_prompt = """
+You are Rezaeian-StatsAI.
+You are a university statistics and probability assistant.
+Answer in Persian.
+Solve engineering statistics problems step by step.
+"""
+
+
+def chat(question):
+
+    prompt = f"""
+<|im_start|>system
+{system_prompt}
+<|im_end|>
+
+<|im_start|>user
+{question}
+<|im_end|>
+
+<|im_start|>assistant
+"""
+
+
+    inputs = tokenizer(
+        prompt,
+        return_tensors="pt"
+    ).to(model.device)
+
+
+    with torch.no_grad():
+
+        output = model.generate(
+            **inputs,
+            max_new_tokens=512,
+            temperature=0.7,
+            do_sample=True
+        )
+
+
+    answer = tokenizer.decode(
+        output[0],
+        skip_special_tokens=True
+    )
+
+
+    return answer.split("assistant")[-1]
+
+
+demo = gr.Interface(
+    fn=chat,
+    inputs=gr.Textbox(
+        label="سوال آماری"
+    ),
+    outputs=gr.Textbox(
+        label="پاسخ مدل"
+    ),
+    title="Rezaeian-StatsAI",
+    description="AI assistant for Engineering Statistics"
+)
+
+
+demo.launch()