Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# تحميل الموديل
+model_name = "Salesforce/codegen-350M-mono"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name).to("cpu") 
+
+# دالة التوليد
+def generate_code(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=128, num_return_sequences=1)
+    code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return code
+
+# واجهة Gradio
+gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(lines=5, placeholder="Describe what code you want...", label="Prompt"),
+    outputs=gr.Textbox(label="Generated Code"),
+    title="Code Generator - Mono Model",
+    description="Generate Python code from a text description using CodeGen-350M-Mono model"
+).launch()