Update app.py
Browse files
app.py
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@@ -23,6 +23,32 @@ model.load_state_dict(torch.load(model_path, map_location=torch.device('cpu')))
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# if os.path.exists(model_path):
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# print(f"Loading saved model {model_path}")
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# model.load_state_dict(torch.load(model_path))
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def predict(file_path):
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max_length = 100000
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# if os.path.exists(model_path):
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# print(f"Loading saved model {model_path}")
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# model.load_state_dict(torch.load(model_path))
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title = "Upload an mp3 file for parkinsons detection! (Thai Language)"
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description = """
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The model was trained on Thai audio recordings with the following sentences:
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ชาวไร่ตัดต้นสนทำท่อนซุง
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ปูม้าวิ่งไปมาบนใบไม้ (เน้นใช้ริมฝีปาก)
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อีกาคอยคาบงูคาบไก่ (เน้นใช้เพดานปาก)
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เพียงแค่ฝนตกลงที่หน้าต่างในบางครา
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“อาาาาาาาาาาา”
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“อีีีีีีีีี”
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“อาาาา” (ดังขึ้นเรื่อยๆ)
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“อาา อาาา อาาาาา”
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<img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
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"""
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gr.Interface(
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fn=predict,
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inputs="textbox",
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outputs="text",
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title=title,
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description=description,
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).launch()
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def predict(file_path):
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max_length = 100000
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