Add application file

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained(
+    "stabilityai/stable-code-3b", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    "stabilityai/stable-code-3b",
+    trust_remote_code=True,
+    torch_dtype="auto",
+).to("cuda" if torch.cuda.is_available() else "cpu")  # Check for GPU availability
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=[gr.Textbox(lines=2, placeholder="Enter your Python code prompt")],
+    outputs="textbox",
+    title="Python Code Completion",
+    description="Generate code completions using a large language model.",
+)
+
+# Define the main function for code generation
+
+
+def generate_code(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    tokens = model.generate(
+        **inputs,
+        max_new_tokens=48,
+        temperature=0.2,
+        do_sample=True,
+    )
+    generated_code = tokenizer.decode(tokens[0], skip_special_tokens=True)
+    return generated_code
+
+
+# Launch the Gradio app
+iface.launch()