app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+# Load the small code generation model
+MODEL_NAME = "Salesforce/codegen-350M-multi"
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
+
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+# Gradio interface
+def generate_code(prompt):
+    result = generator(prompt, max_length=200, do_sample=True)
+    return result[0]['generated_text']
+
+iface = gr.Interface(fn=generate_code, inputs="text", outputs="text",
+                     title="CodeGen Demo", description="Generate code from prompts")
+iface.launch()