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53 lines
2.3 KiB
Markdown
53 lines
2.3 KiB
Markdown
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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-->
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# Aplicații de machine learning
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[Gradio](https://www.gradio.app/), o bibliotecă rapidă și ușoară pentru construirea și partajarea de aplicații de machine learning, este integrată cu [`Pipeline`] pentru a crea rapid o interfață simplă pentru inferență.
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Înainte de a începe, asigură-te că Gradio este instalată.
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```py
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!pip install gradio
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```
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Creează un pipeline pentru task-ul tău, iar apoi transmite-l funcției [Interface.from_pipeline](https://www.gradio.app/docs/gradio/interface#interface-from_pipeline) din Gradio pentru a crea interfața. Gradio determină automat componentele de input și output potrivite pentru un [`Pipeline`].
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Adaugă [launch](https://www.gradio.app/main/docs/gradio/blocks#blocks-launch) pentru a crea un web server și a porni aplicația.
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```py
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from transformers import pipeline
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import gradio as gr
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pipeline = pipeline("image-classification", model="google/vit-base-patch16-224")
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gr.Interface.from_pipeline(pipeline).launch()
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```
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Aplicația web rulează implicit pe un server local. Pentru a partaja aplicația cu alți utilizatori, setează `share=True` în [launch](https://www.gradio.app/main/docs/gradio/blocks#blocks-launch) pentru a genera un link public temporar. Pentru o soluție mai permanentă, găzduiește aplicația pe Hugging Face [Spaces](https://hf.co/spaces).
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```py
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gr.Interface.from_pipeline(pipeline).launch(share=True)
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```
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Space-ul de mai jos este creat cu codul de mai sus și găzduit pe Spaces.
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<iframe
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src="https://stevhliu-gradio-pipeline-demo.hf.space"
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frameborder="0"
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width="850"
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height="850"
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></iframe>
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