Upload InternVL2 implementation
Browse files- Dockerfile +10 -11
- app_internvl2.py +43 -19
Dockerfile
CHANGED
@@ -3,14 +3,15 @@ FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
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# Set environment variables
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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ENV HF_HOME=/
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ENV TRANSFORMERS_CACHE=/
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ENV MPLCONFIGDIR=/tmp/matplotlib
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# Create necessary directories with proper permissions
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RUN mkdir -p /
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mkdir -p /tmp/matplotlib && \
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-
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chmod -R 777 /tmp/matplotlib
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# Install system dependencies
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@@ -27,11 +28,6 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
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# Create a working directory
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WORKDIR /app
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# Create and set permissions for Gradio cache directory
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RUN mkdir -p /app/gradio_cached_examples && \
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chmod 777 /app/gradio_cached_examples && \
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chmod 777 /app
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# Copy requirements file
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COPY requirements.txt .
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@@ -58,8 +54,11 @@ RUN pip3 install --no-cache-dir --upgrade pip && \
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# Copy the application files
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COPY . .
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#
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RUN
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# Make port 7860 available for the app
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EXPOSE 7860
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# Set environment variables
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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ENV HF_HOME=/app/.cache/huggingface
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ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/transformers
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ENV MPLCONFIGDIR=/tmp/matplotlib
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# Create necessary directories with proper permissions
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RUN mkdir -p /app/.cache/huggingface/transformers && \
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mkdir -p /tmp/matplotlib && \
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mkdir -p /app/gradio_cached_examples && \
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chmod -R 777 /app && \
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chmod -R 777 /tmp/matplotlib
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# Install system dependencies
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# Create a working directory
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WORKDIR /app
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# Copy requirements file
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COPY requirements.txt .
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# Copy the application files
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COPY . .
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# Make sure the runtime directories exist and have proper permissions
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RUN mkdir -p gradio_cached_examples && \
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chmod -R 777 gradio_cached_examples && \
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mkdir -p .cache/huggingface/transformers && \
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chmod -R 777 .cache
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# Make port 7860 available for the app
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EXPOSE 7860
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app_internvl2.py
CHANGED
@@ -5,15 +5,36 @@ import time
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import numpy as np
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import torch
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import warnings
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# Set environment variables
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os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:128"
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# Ensure cache directories exist with proper permissions
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os.
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# Suppress specific warnings that might be caused by package version mismatches
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warnings.filterwarnings("ignore", message=".*The 'nopython' keyword.*")
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@@ -175,18 +196,21 @@ def create_interface():
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""")
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# Examples
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[
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return demo
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@@ -195,5 +219,5 @@ if __name__ == "__main__":
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# Create the Gradio interface
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demo = create_interface()
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# Launch the interface with explicit cache directory
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demo.launch(share=False, cache_dir=cache_dir)
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import numpy as np
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import torch
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import warnings
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import stat
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# Set environment variables
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os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:128"
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# Ensure all cache directories exist with proper permissions
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def setup_cache_directories():
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# Gradio cache directory
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cache_dir = os.path.join(os.getcwd(), "gradio_cached_examples")
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os.makedirs(cache_dir, exist_ok=True)
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# HuggingFace cache directories
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hf_cache = os.path.join(os.getcwd(), ".cache", "huggingface")
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transformers_cache = os.path.join(hf_cache, "transformers")
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os.makedirs(hf_cache, exist_ok=True)
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os.makedirs(transformers_cache, exist_ok=True)
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# Set permissions
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try:
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for directory in [cache_dir, hf_cache, transformers_cache]:
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if os.path.exists(directory):
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os.chmod(directory, stat.S_IRWXU | stat.S_IRWXG | stat.S_IRWXO) # 0o777
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print(f"Set permissions for {directory}")
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except Exception as e:
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print(f"Warning: Could not set permissions: {str(e)}")
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return cache_dir
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# Set up cache directories
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cache_dir = setup_cache_directories()
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# Suppress specific warnings that might be caused by package version mismatches
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warnings.filterwarnings("ignore", message=".*The 'nopython' keyword.*")
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""")
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# Examples
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try:
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gr.Examples(
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examples=[
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["data_temp/page_2.png", "general"],
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["data_temp/page_2.png", "text"],
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["data_temp/page_2.png", "chart"]
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],
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inputs=[input_image, analysis_type],
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outputs=output_text,
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fn=process_image,
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cache_examples=True,
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examples_dir=cache_dir
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)
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except Exception as e:
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print(f"Warning: Could not load examples: {str(e)}")
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return demo
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# Create the Gradio interface
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demo = create_interface()
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# Launch the interface with explicit cache directory and without authentication
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demo.launch(share=False, cache_dir=cache_dir, server_name="0.0.0.0")
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