Upload openai_whisper-large-v3_3.py with huggingface_hub

openai_whisper-large-v3_3.py

@@ -0,0 +1,59 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "torch",
+#     "torchvision",
+#     "transformers",
+#     "accelerate",
+#     "peft",
+#     "slack-sdk",
+# ]
+# ///
+
+try:
+    import os
+    from huggingface_hub import InferenceClient
+    
+    client = InferenceClient(
+        provider="auto",
+        api_key=os.environ["HF_TOKEN"],
+    )
+    
+    output = client.automatic_speech_recognition("sample1.flac", model="openai/whisper-large-v3")
+    with open('openai_whisper-large-v3_3.txt', 'w', encoding='utf-8') as f:
+        f.write('Everything was good in openai_whisper-large-v3_3.txt')
+except Exception as e:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/openai_whisper-large-v3_3.txt|openai_whisper-large-v3_3.txt>',
+    )
+
+    with open('openai_whisper-large-v3_3.txt', 'a', encoding='utf-8') as f:
+        import traceback
+        f.write('''```CODE: 
+import os
+from huggingface_hub import InferenceClient
+
+client = InferenceClient(
+    provider="auto",
+    api_key=os.environ["HF_TOKEN"],
+)
+
+output = client.automatic_speech_recognition("sample1.flac", model="openai/whisper-large-v3")
+```
+
+ERROR: 
+''')
+        traceback.print_exc(file=f)
+    
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='openai_whisper-large-v3_3.txt',
+        repo_id='model-metadata/code_execution_files',
+        path_in_repo='openai_whisper-large-v3_3.txt',
+        repo_type='dataset',
+    )