Spaces:
Running
Running
add Tango 2 model
Browse files
app.py
CHANGED
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@@ -136,6 +136,21 @@ def get_tango(prompt):
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print(result)
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return result
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def infer(image_in, chosen_model):
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caption = get_caption(image_in)
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if chosen_model == "MAGNet" :
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@@ -150,6 +165,9 @@ def infer(image_in, chosen_model):
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elif chosen_model == "Tango" :
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tango_result = get_tango(caption)
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return tango_result
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css="""
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#col-container{
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@@ -172,7 +190,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Column():
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image_in = gr.Image(sources=["upload"], type="filepath", label="Image input", value="oiseau.png")
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with gr.Row():
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chosen_model = gr.Dropdown(label="Choose a model", choices=["MAGNet", "AudioLDM-2", "AudioGen", "Tango"], value="AudioLDM-2")
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submit_btn = gr.Button("Submit")
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with gr.Column():
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audio_o = gr.Audio(label="Audio output")
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print(result)
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return result
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def get_tango2(prompt):
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try:
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client = Client("declare-lab/tango2")
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except:
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raise gr.Error("Tango2 space API is not ready, please try again in few minutes ")
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result = client.predict(
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prompt=prompt,
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steps=100,
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guidance=4,
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api_name="/predict"
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)
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print(result)
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return result
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def infer(image_in, chosen_model):
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caption = get_caption(image_in)
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if chosen_model == "MAGNet" :
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elif chosen_model == "Tango" :
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tango_result = get_tango(caption)
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return tango_result
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elif chosen_model == "Tango 2" :
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tango2_result = get_tango2(caption)
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return tango2_result
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css="""
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#col-container{
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with gr.Column():
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image_in = gr.Image(sources=["upload"], type="filepath", label="Image input", value="oiseau.png")
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with gr.Row():
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chosen_model = gr.Dropdown(label="Choose a model", choices=["MAGNet", "AudioLDM-2", "AudioGen", "Tango", "Tango 2"], value="AudioLDM-2")
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submit_btn = gr.Button("Submit")
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with gr.Column():
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audio_o = gr.Audio(label="Audio output")
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