Spaces:
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Update app.py
Browse files
app.py
CHANGED
@@ -4,13 +4,18 @@ import base64
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from PIL import Image
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import io
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import os
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# Initialize OpenAI client
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client = OpenAI(
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base_url="https://openrouter.ai/api/v1",
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api_key='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'
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)
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def analyze_image(image, prompt):
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if image is None:
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return "Please capture or upload an image first."
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@@ -47,66 +52,122 @@ def analyze_image(image, prompt):
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except Exception as e:
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return f"Error: {str(e)}"
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# Custom CSS for mobile optimization
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css = """
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#camera-
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}
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"""
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with gr.Blocks(css=css, title="DaltonVision") as demo:
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gr.Markdown("""
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# πΈ DaltonVision - Camera
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###
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""")
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with gr.
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with gr.
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label="Try these prompts:"
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)
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submit_btn.click(
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inputs=[camera, prompt],
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outputs=output
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)
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# For Hugging Face Spaces deployment
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if __name__ == "__main__":
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demo.launch(
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from PIL import Image
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import io
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import os
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import time
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# Initialize OpenAI client
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client = OpenAI(
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base_url="https://openrouter.ai/api/v1",
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api_key='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'
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)
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def capture_image():
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# This will trigger the camera capture in the frontend
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return None
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def analyze_image(image, prompt):
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if image is None:
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return "Please capture or upload an image first."
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except Exception as e:
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return f"Error: {str(e)}"
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css = """
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#camera-container {
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position: relative;
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width: 100%;
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margin: 0 auto;
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}
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#camera-input {
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width: 100% !important;
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min-height: 300px;
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}
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#capture-btn {
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position: absolute;
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bottom: 20px;
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left: 50%;
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transform: translateX(-50%);
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z-index: 100;
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background: white;
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border-radius: 50%;
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width: 60px;
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height: 60px;
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border: 3px solid #4a6cf7;
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cursor: pointer;
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}
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#capture-btn:active {
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transform: translateX(-50%) scale(0.95);
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}
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.mobile-controls {
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display: flex;
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gap: 10px;
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margin-top: 10px;
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justify-content: center;
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}
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@media (min-width: 768px) {
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#camera-container {
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max-width: 500px;
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}
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}
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"""
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with gr.Blocks(css=css, title="DaltonVision Camera") as demo:
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gr.Markdown("""
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# πΈ DaltonVision - Camera Mode
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### Take pictures directly in the app for analysis
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""")
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with gr.Column():
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with gr.Row():
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with gr.Column(elem_id="camera-container"):
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# Camera component
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camera = gr.Image(
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sources=["webcam"],
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type="pil",
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label="Camera Preview",
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elem_id="camera-input",
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interactive=False,
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mirror_webcam=False
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)
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# Hidden button that triggers capture
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capture_trigger = gr.Button("Capture", visible=False)
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# Custom capture button
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with gr.Row(elem_classes="mobile-controls"):
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gr.HTML("""
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<div id="capture-btn" onclick="document.querySelector('#capture-btn-hidden').click()"></div>
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""")
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capture_btn = gr.Button("Capture Photo", elem_id="capture-btn-hidden", visible=False)
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flip_btn = gr.Button("π Flip Camera")
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reset_btn = gr.Button("β Reset")
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# Upload fallback
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upload = gr.UploadButton("π Upload Instead", file_types=["image"])
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prompt = gr.Textbox(
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label="Ask about the image",
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placeholder="What would you like to know about this image?",
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lines=3
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)
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submit_btn = gr.Button("Analyze Image", variant="primary")
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output = gr.Textbox(
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label="Analysis Results",
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interactive=False,
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lines=10,
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show_copy_button=True
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)
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# Event handlers
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capture_btn.click(
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capture_image,
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outputs=camera
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)
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flip_btn.click(
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None,
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_js="() => { document.querySelector('video').style.transform = document.querySelector('video').style.transform === 'scaleX(-1)' ? 'scaleX(1)' : 'scaleX(-1)'; }"
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)
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reset_btn.click(
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lambda: (None, ""),
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outputs=[camera, output]
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)
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upload.upload(
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lambda file: Image.open(file.name),
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inputs=upload,
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outputs=camera
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)
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submit_btn.click(
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analyze_image,
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inputs=[camera, prompt],
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outputs=output
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)
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if __name__ == "__main__":
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demo.launch()
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