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Update app.py
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app.py
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import gradio as gr
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from google import genai
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import os
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import time
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def ground_truth_engine(past_img, present_img, progress=gr.Progress()):
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# 1. Immediate Visual Feedback
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progress(0, desc="Initializing Spatial Engine...")
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api_key = os.environ.get("GOOGLE_API_KEY")
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if not api_key:
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return "ERROR: GOOGLE_API_KEY
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client = genai.Client(api_key=api_key)
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if past_img is None or present_img is None:
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return "Please upload both images."
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#
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"""
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try:
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progress(0.6, desc="Reasoning Spatially (This takes ~20-30s)...")
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response = client.models.generate_content(
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model="gemini-robotics-er-1.5-preview",
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contents=[prompt, past_img, present_img]
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)
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progress(1.0, desc="Audit Complete!")
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@@ -40,27 +44,32 @@ def ground_truth_engine(past_img, present_img, progress=gr.Progress()):
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except Exception as e:
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return f"Analysis Failed: {str(e)}"
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# --- UI Setup ---
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🏠 GroundTruth AI
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with gr.Row():
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with gr.Column():
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p_img = gr.Image(label="Past Condition", type="pil")
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c_img = gr.Image(label="Current Condition", type="pil")
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with gr.Column():
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output = gr.Markdown(label="Audit Report")
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# Important: show_progress="full" ensures the spinner stays visible
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submit.click(
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fn=ground_truth_engine,
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inputs=[p_img, c_img],
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outputs=output,
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show_progress="full"
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)
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if __name__ == "__main__":
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demo.queue().launch(server_name="0.0.0.0", server_port=7860)
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import gradio as gr
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from google import genai
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import os
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def ground_truth_engine(past_img, present_img, audit_level, progress=gr.Progress()):
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progress(0, desc="Initializing Spatial Engine...")
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api_key = os.environ.get("GOOGLE_API_KEY")
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if not api_key:
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return "ERROR: Set GOOGLE_API_KEY in Space Secrets."
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client = genai.Client(api_key=api_key)
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if past_img is None or present_img is None:
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return "Please upload both images."
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# Map Slider to API 'thinking_budget'
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# Quick = Low budget, Forensic = High budget
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budget_map = {"Quick Scan": 100, "Standard Audit": 400, "Deep Forensic": 1000}
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selected_budget = budget_map.get(audit_level, 400)
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progress(0.2, desc=f"Level: {audit_level} (Budget: {selected_budget})")
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prompt = f"""
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Perform a {audit_level} structural audit.
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Compare roofing, landscaping, and exterior condition.
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Provide precise physical evidence for changes.
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Conclude with 'Maintenance Trajectory': IMPROVING, STABLE, or DECLINING.
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"""
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try:
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progress(0.5, desc="Robotics-ER is reasoning spatially...")
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# We pass the audit level intent into the generation config
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response = client.models.generate_content(
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model="gemini-robotics-er-1.5-preview",
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contents=[prompt, past_img, present_img],
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config={
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"thinking_budget": selected_budget
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}
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)
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progress(1.0, desc="Audit Complete!")
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except Exception as e:
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return f"Analysis Failed: {str(e)}"
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🏠 GroundTruth AI: Spatial Property Sentinel")
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with gr.Row():
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with gr.Column():
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p_img = gr.Image(label="Past Condition", type="pil")
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c_img = gr.Image(label="Current Condition", type="pil")
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# New UI Element: Audit Level Slider
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audit_slider = gr.Radio(
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choices=["Quick Scan", "Standard Audit", "Deep Forensic"],
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value="Standard Audit",
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label="Audit Depth (Robotics Reasoning Level)"
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)
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submit = gr.Button("Analyze Structural Trajectory", variant="primary")
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with gr.Column():
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output = gr.Markdown(label="Audit Report")
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submit.click(
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fn=ground_truth_engine,
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inputs=[p_img, c_img, audit_slider],
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outputs=output,
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show_progress="full"
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)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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