Create app.py

app.py

@@ -1 +1,25 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
+# Load DeepSeek-R1 model
+model_name = "deepseek-ai/DeepSeek-R1"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Chat function
+def chat_with_ai(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_new_tokens=250)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Gradio UI
+ui = gr.Interface(
+    fn=chat_with_ai,
+    inputs=gr.Textbox(label="Ask me anything..."),
+    outputs="text",
+    title="💬 DeepSeek-R1 AI",
+    description="Chat with your own DeepSeek-R1 model hosted on Hugging Face Cloud!"
+)
+
+ui.launch()