fixed be

README.md

@@ -46,6 +46,7 @@ Author: Csaba (BladeSzaSza)
 
 import gradio as gr
 import os
+# from backend.gradio_labanmovementanalysis import LabanMovementAnalysis
 from gradio_labanmovementanalysis import LabanMovementAnalysis
 
 # Import agent API if available
@@ -125,23 +126,23 @@ def create_demo() -> gr.Blocks:
         # ── Hero banner ──
         gr.Markdown(
             """
-            # 🎭 Laban Movement Analysis – Complete Suite
+            # 🎭 Laban Movement Analysis 
             
-            Pose estimation • AI action recognition 
+            Pose estimation • AI action recognition • Movement Analysis 
             """
         )
         with gr.Tabs():
             # Tab 1: Standard Analysis
             with gr.Tab("🎬 Standard Analysis"):
                 gr.Markdown("""
-                ### Classic Laban Movement Analysis
-                Upload a video file to analyze movement using traditional LMA metrics with pose estimation.
+                ### Upload a video file to analyze movement using traditional LMA metrics with pose estimation.
                 """)
                 # ── Workspace ──
                 with gr.Row(equal_height=True):
                     # Input column
                     with gr.Column(scale=1, min_width=260):
                         
+                        analyze_btn_enh = gr.Button("🚀 Analyze Movement", variant="primary", size="lg")
                         video_in = gr.Video(label="Upload Video", sources=["upload"], format="mp4")
                         # URL input option
                         url_input_enh = gr.Textbox(
@@ -149,15 +150,7 @@ def create_demo() -> gr.Blocks:
                             placeholder="YouTube URL, Vimeo URL, or direct video URL",
                             info="Leave file upload empty to use URL"
                         )
-                        gr.Examples(
-                            examples=[
-                                ["examples/balette.mp4"],
-                                ["https://www.youtube.com/shorts/RX9kH2l3L8U"],
-                                ["https://vimeo.com/815392738"]
-                            ],
-                            inputs=url_input_enh,
-                            label="Examples"
-                        )
+                       
                         gr.Markdown("**Model Selection**")
                         
                         model_sel = gr.Dropdown(
@@ -175,18 +168,28 @@ def create_demo() -> gr.Blocks:
                             label="Advanced Pose Models",
                             info="15 model variants available"
                         )
-
-                        gr.Markdown("**Analysis Options**")
                         
-                        with gr.Accordion("Options", open=False):
+                        with gr.Accordion("Analysis Options", open=False):
                             enable_viz = gr.Radio([("Yes", 1), ("No", 0)], value=1, label="Visualization")
                             include_kp = gr.Radio([("Yes", 1), ("No", 0)], value=0, label="Raw Keypoints")
-                        analyze_btn_enh = gr.Button("🚀 Enhanced Analysis", variant="primary", size="lg")
+
+                        gr.Examples(
+                            examples=[
+                                ["examples/balette.mp4"],
+                                ["https://www.youtube.com/shorts/RX9kH2l3L8U"],
+                                ["https://vimeo.com/815392738"],
+                                ["https://vimeo.com/548964931"],
+                                ["https://videos.pexels.com/video-files/5319339/5319339-uhd_1440_2560_25fps.mp4"],
+                            ],
+                            inputs=url_input_enh,
+                            label="Examples"
+                        )
+
 
                     # Output column
                     with gr.Column(scale=2, min_width=320):
-                        viz_out = gr.Video(label="Annotated Video")
-                        with gr.Accordion("Raw JSON", open=False):
+                        viz_out = gr.Video(label="Annotated Video", scale=1, height=400)
+                        with gr.Accordion("Raw JSON", open=True):
                             json_out = gr.JSON(label="Movement Analysis", elem_classes=["json-output"])
 
                 # Wiring
@@ -273,13 +276,18 @@ bool
 <td align="left">Whether to include raw keypoints in JSON output</td>
 </tr>
 
-
+<tr>
+<td align="left"><code>enable_webrtc</code></td>
+<td align="left" style="width: 25%;">
 
 ```python
 bool
 ```
 
-
+</td>
+<td align="left"><code>False</code></td>
+<td align="left">Whether to enable WebRTC real-time analysis</td>
+</tr>
 
 <tr>
 <td align="left"><code>label</code></td>
@@ -447,4 +455,5 @@ The code snippet below is accurate in cases where the component is used as both
      value: typing.Dict[str, typing.Any][str, typing.Any]
  ) -> typing.Any:
      return value
- ```
+ ```
+ 

demo/app.py

@@ -6,8 +6,8 @@ Author: Csaba (BladeSzaSza)
 
 import gradio as gr
 import os
-# from backend.gradio_labanmovementanalysis import LabanMovementAnalysis
-from gradio_labanmovementanalysis import LabanMovementAnalysis
+from backend.gradio_labanmovementanalysis import LabanMovementAnalysis
+# from gradio_labanmovementanalysis import LabanMovementAnalysis
 
 # Import agent API if available
 # Initialize agent API if available

demo/space.py

@@ -8,7 +8,13 @@ _docs = {'LabanMovementAnalysis': {'description': 'Gradio component for video-ba
 abs_path = os.path.join(os.path.dirname(__file__), "css.css")
 
 with gr.Blocks(
-    theme='gstaff/sketch',
+    css=abs_path,
+    theme=gr.themes.Default(
+        font_mono=[
+            gr.themes.GoogleFont("Inconsolata"),
+            "monospace",
+        ],
+    ),
 ) as demo:
     gr.Markdown(
 """
@@ -40,6 +46,7 @@ Author: Csaba (BladeSzaSza)
 
 import gradio as gr
 import os
+# from backend.gradio_labanmovementanalysis import LabanMovementAnalysis
 from gradio_labanmovementanalysis import LabanMovementAnalysis
 
 # Import agent API if available
@@ -119,23 +126,23 @@ def create_demo() -> gr.Blocks:
         # ── Hero banner ──
         gr.Markdown(
             \"\"\"
-            # 🎭 Laban Movement Analysis – Complete Suite
+            # 🎭 Laban Movement Analysis 
             
-            Pose estimation • AI action recognition 
+            Pose estimation • AI action recognition • Movement Analysis 
             \"\"\"
         )
         with gr.Tabs():
             # Tab 1: Standard Analysis
             with gr.Tab("🎬 Standard Analysis"):
                 gr.Markdown(\"\"\"
-                ### Classic Laban Movement Analysis
-                Upload a video file to analyze movement using traditional LMA metrics with pose estimation.
+                ### Upload a video file to analyze movement using traditional LMA metrics with pose estimation.
                 \"\"\")
                 # ── Workspace ──
                 with gr.Row(equal_height=True):
                     # Input column
                     with gr.Column(scale=1, min_width=260):
                         
+                        analyze_btn_enh = gr.Button("🚀 Analyze Movement", variant="primary", size="lg")
                         video_in = gr.Video(label="Upload Video", sources=["upload"], format="mp4")
                         # URL input option
                         url_input_enh = gr.Textbox(
@@ -143,15 +150,7 @@ def create_demo() -> gr.Blocks:
                             placeholder="YouTube URL, Vimeo URL, or direct video URL",
                             info="Leave file upload empty to use URL"
                         )
-                        gr.Examples(
-                            examples=[
-                                ["examples/balette.mp4"],
-                                ["https://www.youtube.com/shorts/RX9kH2l3L8U"],
-                                ["https://vimeo.com/815392738"]
-                            ],
-                            inputs=url_input_enh,
-                            label="Examples"
-                        )
+                       
                         gr.Markdown("**Model Selection**")
                         
                         model_sel = gr.Dropdown(
@@ -169,18 +168,28 @@ def create_demo() -> gr.Blocks:
                             label="Advanced Pose Models",
                             info="15 model variants available"
                         )
-
-                        gr.Markdown("**Analysis Options**")
                         
-                        with gr.Accordion("Options", open=False):
+                        with gr.Accordion("Analysis Options", open=False):
                             enable_viz = gr.Radio([("Yes", 1), ("No", 0)], value=1, label="Visualization")
                             include_kp = gr.Radio([("Yes", 1), ("No", 0)], value=0, label="Raw Keypoints")
-                        analyze_btn_enh = gr.Button("🚀 Enhanced Analysis", variant="primary", size="lg")
+
+                        gr.Examples(
+                            examples=[
+                                ["examples/balette.mp4"],
+                                ["https://www.youtube.com/shorts/RX9kH2l3L8U"],
+                                ["https://vimeo.com/815392738"],
+                                ["https://vimeo.com/548964931"],
+                                ["https://videos.pexels.com/video-files/5319339/5319339-uhd_1440_2560_25fps.mp4"],
+                            ],
+                            inputs=url_input_enh,
+                            label="Examples"
+                        )
+
 
                     # Output column
                     with gr.Column(scale=2, min_width=320):
-                        viz_out = gr.Video(label="Annotated Video")
-                        with gr.Accordion("Raw JSON", open=False):
+                        viz_out = gr.Video(label="Annotated Video", scale=1, height=400)
+                        with gr.Accordion("Raw JSON", open=True):
                             json_out = gr.JSON(label="Movement Analysis", elem_classes=["json-output"])
 
                 # Wiring

pyproject.toml

@@ -8,7 +8,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "gradio_labanmovementanalysis"
-version = "0.0.3"
+version = "0.0.4"
 description = "A Gradio 5 component for video movement analysis using Laban Movement Analysis (LMA) with MCP support for AI agents"
 readme = "README.md"
 license = "apache-2.0"