Update app.py
Browse files
app.py
CHANGED
@@ -1,11 +1,9 @@
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import gradio as gr
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from googletrans import Translator
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from transformers import pipeline
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import tempfile
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import edge_tts
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import inflect
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translator = Translator()
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number_to_word = inflect.engine()
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# Modèle de langue français
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@@ -19,12 +17,8 @@ async def transcribe(audio):
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async def respond(audio):
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user = await transcribe(audio)
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reply = model(user_fr, max_length=50, num_return_sequences=1)[0]['generated_text']
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# Traduire la réponse en anglais
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reply_en = translator.translate(reply, src='fr', dest='en').text
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communicate = edge_tts.Communicate(reply_en)
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
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tmp_path = tmp_file.name
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await communicate.save(tmp_path)
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@@ -84,7 +78,7 @@ with gr.Blocks(css="style.css") as demo:
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outputs=output_audio, api_name=False)
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gr.Markdown(FAST)
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with gr.Row():
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user_input = gr.Textbox(label="Prompt", value="
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input_text = gr.Textbox(label="Input Text", elem_id="important")
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output_audio = gr.Audio(label="JARVIS", type="filepath",
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interactive=False,
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import gradio as gr
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from transformers import pipeline
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import tempfile
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import edge_tts
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import inflect
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number_to_word = inflect.engine()
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# Modèle de langue français
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async def respond(audio):
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user = await transcribe(audio)
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reply = model(user, max_length=50, num_return_sequences=1)[0]['generated_text']
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communicate = edge_tts.Communicate(reply)
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
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tmp_path = tmp_file.name
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await communicate.save(tmp_path)
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outputs=output_audio, api_name=False)
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gr.Markdown(FAST)
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with gr.Row():
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user_input = gr.Textbox(label="Prompt", value="Qu'est-ce que Wikipedia")
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input_text = gr.Textbox(label="Input Text", elem_id="important")
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output_audio = gr.Audio(label="JARVIS", type="filepath",
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interactive=False,
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