new transformers

Dockerfile

@@ -55,4 +55,4 @@ ENV PYTHONPATH=${HOME}/app \
     SYSTEM=spaces \
     FLASH_ATTENTION_SKIP_CUDA_BUILD=TRUE
 
-CMD ["python", "app.py"] 
+CMD ["python", "src/app.py"] 

app.py

@@ -1,29 +0,0 @@
-import gradio as gr
-from src.video_processor.processor import VideoAnalyzer
-import logging
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-def process_video(video_path):
-    try:
-        analyzer = VideoAnalyzer()
-        result = analyzer.process_video(video_path)
-        return result[0]["description"]
-    except Exception as e:
-        logger.error(f"Error processing video: {str(e)}", exc_info=True)
-        return f"Error processing video: {str(e)}"
-
-# Create Gradio interface
-demo = gr.Interface(
-    fn=process_video,
-    inputs=gr.Video(label="Upload your video"),
-    outputs=gr.Textbox(label="Video Analysis", lines=10),
-    title="Video Analysis with SmolVLM",
-    description="Upload a video to get a detailed analysis of its content, including actions, events, timestamps, and important details.",
-    examples=[],  # You can add example videos here
-    cache_examples=False
-)
-
-if __name__ == "__main__":
-    demo.launch() 

requirements.txt

@@ -1,6 +1,6 @@
 torch==2.1.2
 torchvision==0.16.2
-transformers @ git+https://github.com/huggingface/transformers@v4.49.0-SmolVLM-2
+git+https://github.com/huggingface/transformers.git
 num2words==0.5.13
 gradio==4.19.2
 av==10.0.0