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| @@ -0,0 +1,6 @@ | ||
| --- | ||
| "gradio": patch | ||
| "gradio_client": patch | ||
| --- | ||
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| feat:Improvements to FRP client download and usage |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,5 @@ | ||
| --- | ||
| "gradio": patch | ||
| --- | ||
|
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| feat:Some tweaks to is_in_or_equal |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,54 @@ | ||
| name: "functional-lite" | ||
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| on: | ||
| pull_request: | ||
| push: | ||
| branches: | ||
| - main | ||
| - 5.0-dev | ||
|
|
||
| concurrency: | ||
| group: "${{ github.event.pull_request.number }}-${{ github.ref_name }}-${{ github.workflow }}" | ||
| cancel-in-progress: true | ||
|
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| jobs: | ||
| changes: | ||
| name: "changes" | ||
| runs-on: ubuntu-latest | ||
| outputs: | ||
| should_run: ${{ steps.changes.outputs.should_run }} | ||
| sha: ${{ steps.changes.outputs.sha }} | ||
| pr_number: ${{ steps.changes.outputs.pr_number }} | ||
| source_branch: ${{ steps.changes.outputs.source_branch }} | ||
| source_repo: ${{ steps.changes.outputs.source_repo }} | ||
| steps: | ||
| - uses: actions/checkout@v4 | ||
| - uses: "gradio-app/gradio/.github/actions/changes@main" | ||
| id: changes | ||
| with: | ||
| filter: "functional" | ||
| token: ${{ secrets.GITHUB_TOKEN }} | ||
| test: | ||
| name: "functional-test-lite" | ||
| runs-on: ubuntu-latest | ||
| needs: changes | ||
| if: needs.changes.outputs.should_run == 'true' | ||
| steps: | ||
| - uses: actions/checkout@v4 | ||
| - name: install dependencies | ||
| id: install_deps | ||
| uses: "gradio-app/gradio/.github/actions/install-all-deps@main" | ||
| with: | ||
| always_install_pnpm: true | ||
| build_lite: true | ||
| skip_build: true | ||
| - run: pnpm exec playwright install chromium firefox | ||
| - name: Run Lite E2E tests | ||
| run: | | ||
| . venv/bin/activate | ||
| pnpm --filter @gradio/app test:browser:lite | ||
| - name: Get the performance result | ||
| run: | | ||
| export LITE_APP_LOAD_TIME=$(jq -r '.app_load_time' .lite-perf.json) | ||
| echo "LITE_APP_LOAD_TIME=$LITE_APP_LOAD_TIME" >> $GITHUB_ENV | ||
| cat .lite-perf.json # For debugging |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -39,6 +39,7 @@ coverage.xml | |
| test.txt | ||
| **/snapshots/**/*.png | ||
| playwright-report/ | ||
| .hypothesis | ||
|
|
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| # Demos | ||
| demo/tmp.zip | ||
|
|
||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: gif_maker"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio opencv-python"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import cv2\n", "import gradio as gr\n", "\n", "def gif_maker(img_files):\n", " img_array = []\n", " size = (1, 1)\n", " for filename in img_files:\n", " img = cv2.imread(filename.name)\n", " height, width, _ = img.shape\n", " size = (width,height)\n", " img_array.append(img)\n", " output_file = \"test.mp4\"\n", " out = cv2.VideoWriter(output_file,cv2.VideoWriter_fourcc(*'h264'), 15, size)\n", " for i in range(len(img_array)):\n", " out.write(img_array[i])\n", " out.release()\n", " return output_file\n", "\n", "demo = gr.Interface(gif_maker, inputs=gr.File(file_count=\"multiple\"), outputs=gr.Video())\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} | ||
| {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: gif_maker"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio opencv-python"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import cv2\n", "import gradio as gr\n", "\n", "def gif_maker(img_files):\n", " img_array = []\n", " size = (1, 1)\n", " for filename in img_files:\n", " img = cv2.imread(filename.name)\n", " height, width, _ = img.shape\n", " size = (width,height)\n", " img_array.append(img)\n", " output_file = \"test.mp4\"\n", " out = cv2.VideoWriter(output_file,cv2.VideoWriter_fourcc(*'h264'), 15, size) # type: ignore\n", " for i in range(len(img_array)):\n", " out.write(img_array[i])\n", " out.release()\n", " return output_file\n", "\n", "demo = gr.Interface(gif_maker, inputs=gr.File(file_count=\"multiple\"), outputs=gr.Video())\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: white_noise_vid_not_playable"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio opencv-python"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import cv2\n", "import gradio as gr\n", "import numpy as np\n", "\n", "def gif_maker():\n", " img_array = []\n", " height, width = 50, 50\n", " for i in range(30):\n", " img_array.append(np.random.randint(0, 255, size=(height, width, 3)).astype(np.uint8))\n", " output_file = \"test.mp4\"\n", " out = cv2.VideoWriter(output_file, cv2.VideoWriter_fourcc(*'mp4v'), 15, (height, width))\n", " for i in range(len(img_array)):\n", " out.write(img_array[i])\n", " out.release()\n", " return output_file, output_file\n", "\n", "demo = gr.Interface(gif_maker, inputs=None, outputs=[gr.Video(), gr.File()])\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} | ||
| {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: white_noise_vid_not_playable"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio opencv-python"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import cv2\n", "import gradio as gr\n", "import numpy as np\n", "\n", "def gif_maker():\n", " img_array = []\n", " height, width = 50, 50\n", " for i in range(30):\n", " img_array.append(np.random.randint(0, 255, size=(height, width, 3)).astype(np.uint8))\n", " output_file = \"test.mp4\"\n", " out = cv2.VideoWriter(output_file, cv2.VideoWriter_fourcc(*'mp4v'), 15, (height, width)) # type: ignore\n", " for i in range(len(img_array)):\n", " out.write(img_array[i])\n", " out.release()\n", " return output_file, output_file\n", "\n", "demo = gr.Interface(gif_maker, inputs=None, outputs=[gr.Video(), gr.File()])\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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