Duplicate from davidanthony-ai/transcription_audio_whisper

Co-authored-by: OUEDRAOGO David <[email protected]>

.gitattributes

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README.md

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+---
+title: Transcription Whisper
+emoji: 🌖
+colorFrom: indigo
+colorTo: green
+sdk: gradio
+sdk_version: 3.32.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: davidanthony-ai/transcription_audio_whisper
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import whisper
+import ffmpeg
+import streamlit.components.v1 as components
+
+
+def transcribe_audio(audio_file):
+    model = whisper.load_model("small")
+    result = model.transcribe(audio_file, fp16=False)
+    return result["text"]
+
+
+
+def main():
+    audio_input = gr.inputs.Audio(source="upload", type="filepath")
+    output_text = gr.outputs.Textbox()
+    iface = gr.Interface(fn=transcribe_audio, inputs=audio_input, 
+                         outputs=output_text, title="Transciption Audio",
+                         description="Charger l'audio")
+    
+    iface.launch(auth=("admin", "pass1234"))
+
+
+if __name__ == '__main__':
+    main()
+
+# 

requirements.txt

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+openai-whisper
+setuptools-rust
+ffmpeg-python
+gradio
+streamlit