Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "Percy3822/python_ai_coder"  # Replace with your model repo name after training
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
+
+def generate_code(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    with torch.no_grad():
+        outputs = model.generate(
+            **inputs,
+            max_new_tokens=128,
+            do_sample=True,
+            temperature=0.8,
+            top_p=0.95,
+            eos_token_id=tokenizer.eos_token_id
+        )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(lines=5, placeholder="Ask me to write/fix/explain Python code..."),
+    outputs="text",
+    title="Python AI Assistant (Trained on StarCoder)",
+    description="Ask it to write functions, fix bugs, explain code, etc."
+)
+
+iface.launch()