Create app.py

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load an instruction-tuned model for text2text generation
+generator = pipeline(
+    "text2text-generation",
+    model="google/flan-t5-small",
+    device=0  # set to -1 if you don’t have a GPU
+)
+
+def format_daily_plan(notes):
+    """
+    Takes a comma-separated list of notes/to-dos with optional times
+    and returns a structured plan: 
+      - time-stamped events
+      - tasks list
+    """
+    # Build the prompt
+    prompt = (
+        "You are a personal assistant. "
+        "Convert these daily notes into a schedule and a task list.\n\n"
+        f"Notes: {notes}\n\n"
+        "Output format:\n"
+        "Today's Plan:\n\n"
+        "HH:MM AM/PM: Event description\n\n"
+        "Tasks: comma-separated list of remaining to-dos"
+    )
+    
+    # Generate the formatted plan
+    output = generator(
+        prompt,
+        max_length=200,
+        do_sample=False
+    )[0]["generated_text"]
+    
+    return output
+
+# Gradio interface
+iface = gr.Interface(
+    fn=format_daily_plan,
+    inputs=gr.Textbox(
+        lines=3,
+        placeholder="e.g. meeting at 9, lunch w/ Sarah, clean room, finish math hw, check bank acc, get groceries"
+    ),
+    outputs=gr.Textbox(label="Today's Plan"),
+    title="🗒️ Daily Notes → Structured Plan",
+    description=(
+        "Paste your comma-separated notes or to-do list; "
+        "the model will output a time-based schedule and a tasks list."
+    ),
+    theme="default"
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)