Update app.py

app.py

@@ -565,7 +565,7 @@ fetch_interface = gr.Interface(
         gr.Slider(400, 12000, value=3000, step=100, label="Max Characters (body text)", scale=2, min_width=200),
         gr.Slider(0, 100, value=20, step=1, label="Max Links", scale=1, min_width=150),
     ],
-    outputs=gr.Markdown(label="Extracted Summary", scale=1),
+    outputs=gr.Markdown(label="Extracted Summary"),
     title="Fetch Webpage",
     description=(
         "<div style=\"text-align:center\">Extract title, key metadata, readable text, and links from webpages. No noisy HTML.</div>"
@@ -591,7 +591,7 @@ concise_interface = gr.Interface(
         gr.Checkbox(value=True, label="Dedupe by domain", scale=1, min_width=150),
         gr.Slider(minimum=20, maximum=120, value=80, step=5, label="Max title chars", scale=1, min_width=150),
     ],
-    outputs=gr.Textbox(label="Results (JSONL)", interactive=False, scale=1),
+    outputs=gr.Textbox(label="Results (JSONL)", interactive=False),
     title="DuckDuckGo Search",
     description=(
         "<div style=\"text-align:center\">Very concise web search to avoid unnecessary context. Emits JSONL with short keys (t,u[,s]). Defaults avoid snippets and duplicate domains.</div>"
@@ -612,7 +612,7 @@ concise_interface = gr.Interface(
 code_interface = gr.Interface(
     fn=Execute_Python,
     inputs=gr.Code(label="Python Code", language="python", scale=1, min_width=400),
-    outputs=gr.Textbox(label="Output", scale=1, min_width=400),
+    outputs=gr.Textbox(label="Output"),
     title="Python Code Executor",
     description=(
         "<div style=\"text-align:center\">Execute Python code and see the output.</div>"
@@ -636,7 +636,7 @@ kokoro_interface = gr.Interface(
         gr.Slider(minimum=0.5, maximum=2.0, value=1.0, step=0.1, label="Speed", scale=1, min_width=150),
         gr.Textbox(label="Voice", value="af_heart", placeholder="e.g., af_heart", scale=1, min_width=150),
     ],
-    outputs=gr.Audio(label="Audio", type="numpy", scale=1),
+    outputs=gr.Audio(label="Audio", type="numpy"),
     title="Kokoro TTS",
     description=(
         "<div style=\"text-align:center\">Generate English speech with Kokoro-82M. 30 second max output. Runs on CPU or CUDA if available.</div>"
@@ -763,7 +763,7 @@ image_generation_interface = gr.Interface(
         gr.Slider(minimum=64, maximum=1216, value=1024, step=32, label="Width", scale=1, min_width=150),
         gr.Slider(minimum=64, maximum=1216, value=1024, step=32, label="Height", scale=1, min_width=150),
     ],
-    outputs=gr.Image(label="Generated Image", scale=1),
+    outputs=gr.Image(label="Generated Image"),
     title="Image Generation",
     description=(
         "<div style=\"text-align:center\">Generate images via Hugging Face Inference. "
@@ -942,7 +942,7 @@ video_generation_interface = gr.Interface(
         gr.Slider(minimum=4, maximum=60, value=24, step=1, label="FPS", scale=1, min_width=120),
         gr.Slider(minimum=1.0, maximum=10.0, value=4.0, step=0.5, label="Duration (s)", scale=1, min_width=150),
     ],
-    outputs=gr.Video(label="Generated Video", scale=1),
+    outputs=gr.Video(label="Generated Video"),
     title="Video Generation",
     description=(
     "<div style=\"text-align:center\">Generate short videos via Hugging Face Inference Providers. "