feat: gradio
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app.py
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import gradio as gr
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from ultralytics import YOLO
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model = YOLO('yolo11n-pose.pt')
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@@ -7,11 +7,79 @@ def poseImage(image):
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results = model(image)
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return results[0].plot()
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interface = gr.Interface(
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# import gradio as gr
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from ultralytics import YOLO
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model = YOLO('yolo11n-pose.pt')
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results = model(image)
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return results[0].plot()
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# interface = gr.Interface(
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# fn=poseImage,
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# inputs=gr.Image(streaming=True),
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# outputs=gr.Image(),
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# live=True
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# )
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# interface.launch()
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import gradio as gr
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import speech_recognition as sr
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from PIL import Image
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# Fungsi untuk memproses gambar
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def process_image(image):
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return image # Mengembalikan gambar yang sama
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# Fungsi untuk memproses audio
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def process_audio(audio):
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recognizer = sr.Recognizer()
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with sr.AudioFile(audio) as source:
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audio_data = recognizer.record(source)
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try:
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text = recognizer.recognize_google(audio_data)
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return text
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except sr.UnknownValueError:
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return "Audio tidak dapat dikenali."
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except sr.RequestError as e:
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return f"Error dengan layanan pengenalan suara: {e}"
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# Interface Gradio
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with gr.Blocks() as demo:
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with gr.Row():
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gr.Markdown("## Aplikasi Input Gambar/Audio")
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with gr.Row():
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input_type = gr.Radio(["Gambar", "Audio"], label="Pilih Jenis Input", value="Gambar")
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(type='numpy', label="Masukkan Gambar", live=True, visible=False)
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audio_input = gr.Audio(sources="microphone", type="filepath", label="Masukkan Audio", visible=False)
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with gr.Column():
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image_output = gr.Image(label="Hasil Gambar", visible=False)
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text_output = gr.Textbox(label="Hasil Audio", visible=False)
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# Fungsi untuk mengatur visibilitas berdasarkan jenis input
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def update_visibility(input_type):
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if input_type == "Gambar":
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return (
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gr.update(visible=True),
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gr.update(visible=False),
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gr.update(visible=True),
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gr.update(visible=False),
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)
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elif input_type == "Audio":
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return (
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gr.update(visible=False),
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gr.update(visible=True),
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gr.update(visible=False),
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gr.update(visible=True),
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)
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input_type.change(
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update_visibility,
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inputs=[input_type],
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outputs=[image_input, audio_input, image_output, text_output],
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)
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# Menghubungkan input dengan output
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image_input.change(poseImage, inputs=[image_input], outputs=[image_output])
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audio_input.change(process_audio, inputs=[audio_input], outputs=[text_output])
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# Menjalankan aplikasi
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demo.launch()
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