Rename app to app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+from onnxruntime_genai import ChatSession, GenerationConfig, ORTModel
+
+# Path to the downloaded ONNX model
+MODEL_DIR = "model/cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4"
+
+# Load the model
+model = ORTModel(MODEL_DIR, execution_provider="cpu")
+session = ChatSession(model)
+
+# Chat function
+def chat_with_phi4(message, history):
+    history = history or []
+    for past_msg in history:
+        session.history.append((past_msg[0], past_msg[1]))
+
+    reply = session.chat(message, config=GenerationConfig(max_new_tokens=300))
+    history.append((message, reply))
+    return history, history
+
+# Hugging Face logo
+HF_LOGO = "https://huggingface.co/front/assets/huggingface_logo-noborder.svg"
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Image(value=HF_LOGO, width=120, show_label=False, show_download_button=False)
+    gr.Markdown("### Chat with Microsoft Phi-4 Mini Instruct (ONNX)")
+
+    chatbot = gr.Chatbot()
+    user_input = gr.Textbox(label="Your message")
+    state = gr.State([])
+
+    send_btn = gr.Button("Send")
+    clear_btn = gr.Button("Clear")
+
+    send_btn.click(chat_with_phi4, [user_input, state], [chatbot, state])
+    user_input.submit(chat_with_phi4, [user_input, state], [chatbot, state])
+    clear_btn.click(lambda: ([], []), outputs=[chatbot, state])
+
+demo.launch()