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Upload folder using huggingface_hub

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Files changed (3) hide show
  1. README.md +1 -1
  2. run.ipynb +1 -1
  3. run.py +1 -1
README.md CHANGED
@@ -5,7 +5,7 @@ emoji: 🔥
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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- sdk_version: 4.38.1
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
 
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  colorFrom: indigo
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  colorTo: indigo
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  sdk: gradio
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+ sdk_version: 4.39.0
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  app_file: run.py
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  pinned: false
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  hf_oauth: true
run.ipynb CHANGED
@@ -1 +1 @@
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- {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: english_translator"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio transformers torch"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from transformers import pipeline\n", "\n", "pipe = pipeline(\"translation\", model=\"t5-base\")\n", "\n", "\n", "def translate(text):\n", " return pipe(text)[0][\"translation_text\"]\n", "\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Row():\n", " with gr.Column():\n", " english = gr.Textbox(label=\"English text\")\n", " translate_btn = gr.Button(value=\"Translate\")\n", " with gr.Column():\n", " german = gr.Textbox(label=\"German Text\")\n", "\n", " translate_btn.click(translate, inputs=english, outputs=german, api_name=\"translate-to-german\")\n", " examples = gr.Examples(examples=[\"I went to the supermarket yesterday.\", \"Helen is a good swimmer.\"],\n", " inputs=[english])\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
 
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+ {"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: english_translator"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio transformers torch"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from transformers import pipeline\n", "\n", "pipe = pipeline(\"translation\", model=\"t5-base\")\n", "\n", "\n", "def translate(text):\n", " return pipe(text)[0][\"translation_text\"] # type: ignore\n", "\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Row():\n", " with gr.Column():\n", " english = gr.Textbox(label=\"English text\")\n", " translate_btn = gr.Button(value=\"Translate\")\n", " with gr.Column():\n", " german = gr.Textbox(label=\"German Text\")\n", "\n", " translate_btn.click(translate, inputs=english, outputs=german, api_name=\"translate-to-german\")\n", " examples = gr.Examples(examples=[\"I went to the supermarket yesterday.\", \"Helen is a good swimmer.\"],\n", " inputs=[english])\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
run.py CHANGED
@@ -6,7 +6,7 @@ pipe = pipeline("translation", model="t5-base")
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  def translate(text):
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- return pipe(text)[0]["translation_text"]
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  with gr.Blocks() as demo:
 
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  def translate(text):
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+ return pipe(text)[0]["translation_text"] # type: ignore
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  with gr.Blocks() as demo: