Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load an open model that runs well on CPU
+model_name = "google/flan-t5-base"
+pipe = pipeline("text2text-generation", model=model_name)
+
+def chat_with_jarvis(message, history):
+    prompt = f"You are Jarvis, a helpful AI assistant. Answer politely.\n\nUser: {message}\nJarvis:"
+    result = pipe(prompt, max_new_tokens=200, do_sample=True)[0]["generated_text"]
+    history.append((message, result))
+    return history, history
+
+# Build Gradio Chat Interface
+demo = gr.ChatInterface(
+    fn=chat_with_jarvis,
+    title="Jarvis AI (Free CPU Edition)",
+    description="A lightweight Jarvis that runs 24/7 for free on Hugging Face CPU.",
+    theme="soft",
+)
+
+demo.launch()