gama-it
Browse files- app.py +6 -9
- stage4_ckpt/rng_state_4.pth +0 -3
- stage4_ckpt/rng_state_5.pth +0 -3
- stage4_ckpt/rng_state_6.pth +0 -3
- stage4_ckpt/rng_state_7.pth +0 -3
- stage4_ckpt/trainer_state.json +0 -0
- {stage4_ckpt β stage5_ckpt}/optimizer.pt +1 -1
- {stage4_ckpt β stage5_ckpt}/pytorch_model.bin +1 -1
- {stage4_ckpt β stage5_ckpt}/rng_state_0.pth +1 -1
- {stage4_ckpt β stage5_ckpt}/rng_state_1.pth +1 -1
- {stage4_ckpt β stage5_ckpt}/rng_state_2.pth +1 -1
- {stage4_ckpt β stage5_ckpt}/rng_state_3.pth +1 -1
- {stage4_ckpt β stage5_ckpt}/scheduler.pt +1 -1
- stage5_ckpt/trainer_state.json +1516 -0
- {stage4_ckpt β stage5_ckpt}/training_args.bin +1 -1
app.py
CHANGED
@@ -38,10 +38,7 @@ temp, top_p, top_k = 0.1, 0.95, 500
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# change it to your model path
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### Stage 4 ckpt
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-
eval_mdl_path = './
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-
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-
### Stage 5 ckpt
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# eval_mdl_path = '/fs/gamma-projects/audio/gama/new_data/stage5_all_mix_all/checkpoint-900/pytorch_model.bin'
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state_dict = torch.load(eval_mdl_path, map_location='cpu')
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msg = model.load_state_dict(state_dict, strict=False)
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@@ -146,12 +143,12 @@ text = "[Github]"
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paper_link = "https://sreyan88.github.io/gamaaudio/"
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paper_text = "[Paper]"
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demo = gr.Interface(fn=predict,
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inputs=[gr.Audio(type="filepath"), gr.Textbox(value='Describe the audio
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outputs=[gr.Textbox(label="Audio Meta Information"), gr.Textbox(label="GAMA Output")],
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cache_examples=True,
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title="Quick Demo of GAMA",
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description="GAMA is a novel Large
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"GAMA is authored by members of the GAMMA Lab at the University of Maryland, College Park and Adobe, USA. <br>" +
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"**GAMA is not an ASR model and has limited ability to recognize the speech content. It primarily focuses on perception and understanding of non-speech sounds.**<br>" +
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"Input an audio and ask quesions! Audio will be converted to 16kHz and padded or trim to 10 seconds.")
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demo.launch(debug=True, share=True)
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# change it to your model path
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### Stage 4 ckpt
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+
eval_mdl_path = './stage5_ckpt/pytorch_model.bin'
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state_dict = torch.load(eval_mdl_path, map_location='cpu')
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msg = model.load_state_dict(state_dict, strict=False)
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paper_link = "https://sreyan88.github.io/gamaaudio/"
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paper_text = "[Paper]"
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demo = gr.Interface(fn=predict,
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+
inputs=[gr.Audio(type="filepath"), gr.Textbox(value='Describe the audio in detail', label='Edit the textbox to ask your own questions!')],
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outputs=[gr.Textbox(label="Audio Meta Information"), gr.Textbox(label="GAMA Output")],
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cache_examples=True,
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title="Quick Demo of GAMA-IT",
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description="GAMA-IT is an instruction-tuned version of GAMA, a novel Large Audio-Language Model that is capable of complex reasoning. The model can understand any given audio (non-speech) and answer any open-ended question about it, including ones that require complex reasoning." + f"<a href='{paper_link}'>{paper_text}</a> " + f"<a href='{link}'>{text}</a> <br>" +
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+
"GAMA-IT is authored by members of the GAMMA Lab at the University of Maryland, College Park and Adobe, USA. <br>" +
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+
"**GAMA-IT is not an ASR model and has limited ability to recognize the speech content. It primarily focuses on perception and understanding of non-speech sounds.**<br>" +
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"Input an audio and ask quesions! Audio will be converted to 16kHz and padded or trim to 10 seconds.")
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demo.launch(debug=True, share=True)
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stage4_ckpt/rng_state_4.pth
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stage4_ckpt/rng_state_5.pth
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stage4_ckpt/trainer_state.json
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{stage4_ckpt β stage5_ckpt}/optimizer.pt
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{stage4_ckpt β stage5_ckpt}/rng_state_0.pth
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stage5_ckpt/trainer_state.json
ADDED
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