Update app.py

app.py

@@ -828,7 +828,7 @@ def _mem_save(
         4. Operation is protected by an in‑process reentrant lock only (no cross‑process locking).
 
     Returns:
-        str: Human readable confirmation containing the new memory UUID (full or prefix).
+        str: Human readable confirmation containing the new memory UUID (full or prefix
 
     Security / Privacy:
         Data is plaintext JSON on local disk; do NOT store secrets or regulated data.
@@ -1004,7 +1004,7 @@ concise_interface = gr.Interface(
     outputs=gr.Textbox(label="Search Results", interactive=False),
     title="DuckDuckGo Search",
     description=(
-        "<div style=\"text-align:center\">Enhanced web search with readable output format. Always includes snippets for better context and understanding.</div>"
+        "<div style=\"text-align:center\">Web search with readable output format. Supports advanced search operators.</div>"
     ),
     api_description=(
         "Run a DuckDuckGo search and return numbered results with URLs, titles, and summaries. "
@@ -1057,7 +1057,7 @@ CSS_STYLES = """
     }
     .gradio-container h1::after {
         grid-row: 3;
-        content: "Authentication is optional but Image/Video Generation require a `HF_READ_TOKEN` in env secrets. They are hidden otherwise. Same with Memory (intended for local)";
+        content: "Authentication is optional but Image/Video Generation require a `HF_READ_TOKEN` in env secrets. They are hidden otherwise. Same with Memory (intended for local use).";
         display: block;
         font-size: 1rem;
         font-weight: 400;
@@ -1090,7 +1090,7 @@ kokoro_interface = gr.Interface(
     outputs=gr.Audio(label="Audio", type="numpy", format="wav", show_download_button=True),
     title="Kokoro TTS",
     description=(
-        "<div style=\"text-align:center\">Generate speech with Kokoro-82M using 54 different voices. Supports multiple languages and accents. Can generate audio of any length! Runs on CPU or CUDA if available.</div>"
+        "<div style=\"text-align:center\">Generate speech with Kokoro-82M. Supports multiple languages and accents. Runs on CPU or CUDA if available.</div>"
     ),
     api_description=(
         "Synthesize speech from text using Kokoro-82M TTS model. Returns (sample_rate, waveform) suitable for playback. "
@@ -1102,14 +1102,14 @@ kokoro_interface = gr.Interface(
     flagging_mode="never",
 )
 
-def Memory_Tool(
+def Memory_Manager(
     action: Annotated[Literal["save","list","search","delete"], "Action to perform: save | list | search | delete"],
-    text: Annotated[Optional[str], "Text content (used when action=save)"] = None,
-    tags: Annotated[Optional[str], "Comma-separated tags (used when action=save)"] = None,
-    query: Annotated[Optional[str], "Search query terms (used when action=search)"] = None,
-    limit: Annotated[int, "Max results for list/search (1–200)"] = 20,
-    memory_id: Annotated[Optional[str], "Full UUID or unique prefix (used when action=delete)"] = None,
-    include_tags: Annotated[bool, "Include tags in list/search output"] = True,
+    text: Annotated[Optional[str], "Text content (Save only)"] = None,
+    tags: Annotated[Optional[str], "Comma-separated tags (Save only)"] = None,
+    query: Annotated[Optional[str], "Search query terms (Search only)"] = None,
+    limit: Annotated[int, "Max results (List/Search only)"] = 20,
+    memory_id: Annotated[Optional[str], "Full UUID or unique prefix (Delete only)"] = None,
+    include_tags: Annotated[bool, "Include tags (List/Search only)"] = True,
 ) -> str:
     """Manage lightweight local JSON “memories” (save | list | search | delete) in one MCP tool.
 
@@ -1183,7 +1183,7 @@ def Memory_Tool(
     return "Error: invalid action (use save|list|search|delete)."
 
 memory_interface = gr.Interface(
-    fn=Memory_Tool,
+    fn=Memory_Manager,
     inputs=[
         gr.Dropdown(label="Action", choices=["save","list","search","delete"], value="list"),
         gr.Textbox(label="Text", lines=3, placeholder="Memory text (save)"),
@@ -1196,11 +1196,12 @@ memory_interface = gr.Interface(
     outputs=gr.Textbox(label="Result", lines=14),
     title="Memory Manager",
     description=(
-        "Lightweight local JSON memory store (no external DB). Choose an Action, fill only the relevant fields, and run."
+        "<div style=\"text-align:center\">Lightweight local JSON memory store (no external DB). Choose an Action, fill only the relevant fields, and run.</div>"
     ),
     api_description=(
         "Manage short text memories with optional tags. Actions: save(text,tags), list(limit,include_tags), "
-        "search(query,limit,include_tags), delete(memory_id). Plaintext JSON; avoid secrets. Returns human-readable lines."
+        "search(query,limit,include_tags), delete(memory_id). Returns plaintext JSON. Action parameter is always required. "
+        "Use Memory_Manager whenever you are given information worth remembering about the user, and search for memories when relevant."
     ),
     flagging_mode="never",
 )
@@ -1316,8 +1317,8 @@ image_generation_interface = gr.Interface(
     outputs=gr.Image(label="Generated Image"),
     title="Image Generation",
     description=(
-        "<div style=\"text-align:center\">Generate images via Hugging Face Inference. "
-        "Default model is FLUX.1-Krea</div>"
+        "<div style=\"text-align:center\">Generate images via Hugging Face serverless inference. "
+        "Default model is FLUX.1-Krea-dev.</div>"
     ),
     api_description=(
         "Generate a single image from a text prompt using a Hugging Face model via serverless inference. "
@@ -1506,7 +1507,7 @@ video_generation_interface = gr.Interface(
     outputs=gr.Video(label="Generated Video", show_download_button=True, format="mp4"),
     title="Video Generation",
     description=(
-    "<div style=\"text-align:center\">Generate short videos via Hugging Face Inference Providers. "
+    "<div style=\"text-align:center\">Generate short videos via Hugging Face serverless inference. "
     "Default model is Wan2.2-T2V-A14B.</div>"
     ),
     api_description=(