Create App.py

App.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "sakthi54321/power_ai"  # your uploaded model
+
+# Load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, 
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# Chat function
+def chat(message, history=[]):
+    inputs = tokenizer(message, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=200)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Gradio UI
+demo = gr.Interface(
+    fn=chat, 
+    inputs="text", 
+    outputs="text",
+    title="Power AI Chatbot",
+    description="Chat with your fine-tuned Power AI model"
+)
+
+demo.launch()