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use auto in full app code
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docs/inference-providers/guides/building-first-app.md

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@@ -317,16 +317,7 @@ We're using automatic provider selection which will choose the best available pr
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<hfoptions id="deployment">
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<hfoption id="python">
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To deploy, we'll need to create a `requirements.txt` file and a `app.py` file.
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`requirements.txt`:
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```txt
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gradio
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huggingface_hub
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```
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`app.py`:
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To deploy, we'll need to create an `app.py` file and upload it to Hugging Face Spaces.
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<details>
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<summary><strong>📋 Click to view the complete app.py file</strong></summary>
@@ -337,8 +328,8 @@ from huggingface_hub import InferenceClient
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def transcribe_audio(audio_file_path):
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"""Transcribe audio using fal.ai for speed"""
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client = InferenceClient(provider="fal-ai")
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"""Transcribe audio using an Inference Provider"""
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client = InferenceClient(provider="auto")
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# Pass the file path directly - the client handles file reading
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transcript = client.automatic_speech_recognition(
@@ -367,7 +358,7 @@ def generate_summary(transcript):
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"""
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response = client.chat.completions.create(
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model="Qwen/Qwen3-235B-A22B-FP8",
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model="deepseek-ai/DeepSeek-R1-0528",
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messages=[{"role": "user", "content": prompt}],
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max_tokens=1000,
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)

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