Update app.py

app.py

@@ -1,11 +1,19 @@
 from __future__ import annotations
 
 import json
+import os
+import sys
 import textwrap
 from typing import List
 
 import gradio as gr
 
+# Ensure the local src/ directory is on sys.path (for Hugging Face Spaces)
+ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
+SRC_DIR = os.path.join(ROOT_DIR, "src")
+if SRC_DIR not in sys.path:
+    sys.path.append(SRC_DIR)
+
 from agentic_multiwriter.state import AgentState, ResearchSnippet
 from agentic_multiwriter.agents import (
     researcher_node,
@@ -142,8 +150,7 @@ def build_interface() -> gr.Blocks:
             sources_box = gr.Markdown(label="Web Sources Used")
 
         with gr.Tab("Meta"):
-            meta_box = gr.Textbox(
-                label="Meta (timings, counts, etc.)", lines=10)
+            meta_box = gr.Textbox(label="Meta (timings, counts, etc.)", lines=10)
 
         run_button.click(
             fn=generate,
@@ -162,8 +169,8 @@ def build_interface() -> gr.Blocks:
                 """
                 ---
                 ⚠️ **Note**: First run may take longer while the model loads or if you are
-                using a local model. For best performance on Hugging Face Spaces, set
-                `AMW_LLM_PROVIDER=openai` and use a small hosted model (e.g. `gpt-4o-mini`).
+                using a local model. On Spaces, this app uses an open-source model via
+                Hugging Face Inference API.
                 """
             )
         )