Duplicate from Robooze/transcription

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,13 @@
+---
+title: Transcription
+emoji: 🔥
+colorFrom: gray
+colorTo: blue
+sdk: gradio
+sdk_version: 3.23.0
+app_file: app.py
+pinned: false
+duplicated_from: Robooze/transcription
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import openai
+import shutil
+import tempfile
+import os
+
+vocabolario_LOUD = os.environ.get("VOCABOLARIO_LOUD")
+open_ai_key = os.environ.get("OPEN_AI_KEY")
+openai.api_key = open_ai_key
+
+def transcribe(audio):
+
+    # the audio file has no extension. We mae a .wav copy:
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=True) as temp_audio_file:
+        
+        shutil.copy(audio, temp_audio_file.name)
+
+        audio_filepath = temp_audio_file.name
+        audio_file= open(audio_filepath, "rb")
+    
+    transcript = openai.Audio.transcribe("whisper-1", audio_file, prompt=vocabolario_LOUD, language="it")
+
+    return transcript["text"]
+
+app = gr.Interface(fn=transcribe, inputs=gr.Microphone(type="filepath"), outputs="text", title="Demo di trascrizione con vocabolario LOUD",description="Demo implementante l'API di Whisper personalizzato con vocabolario LOUD", theme="dark-peach")
+
+app.launch()

requirements.txt

@@ -0,0 +1,2 @@
+openai
+gradio