Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load Model & Tokenizer
+MODEL_NAME = "Qwen/Qwen2.5-3B"  # Change to your HF model repo if fine-tuned
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16, device_map="auto")
+
+def tinyzero_chat(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs, max_length=512, temperature=0.7, top_p=0.9)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Gradio Interface
+demo = gr.Interface(
+    fn=tinyzero_chat,
+    inputs=gr.Textbox(placeholder="Ask TinyZero anything..."),
+    outputs=gr.Textbox(),
+    title="TinyZero Chatbot",
+    description="An interactive demo of TinyZero trained on reasoning tasks."
+)
+
+# Launch
+demo.launch()