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SlipStream90 commited on
Commit ·
8cea92d
1
Parent(s): d543306
fixes
Browse files- app.py +117 -61
- requirements.txt +4 -0
app.py
CHANGED
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@@ -1,21 +1,37 @@
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import gradio as gr
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#
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.gradio-container {font-family: Arial;}
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"""
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# ---------------- FUNCTIONS ----------------
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def monitor(image):
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status = "SAFE ✅"
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return image, status
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def grocery_calc(protein_goal):
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#
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gr.Markdown("# 🍳 AI Kitchen Safety & Smart Grocery Dashboard")
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@@ -28,71 +44,111 @@ with gr.Blocks(css=css, title="Kitchen AI Dashboard") as demo:
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overview_btn = gr.Button("Overview")
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monitor_btn = gr.Button("Live Monitor")
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grocery_btn = gr.Button("Smart Grocery")
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model_btn = gr.Button("Model Details")
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logs_btn = gr.Button("Weekly Logs")
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team_btn = gr.Button("Team")
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# -------- MAIN PANEL ----------
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with gr.Column(scale=4):
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content = gr.Markdown(
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# GROCERY AREA
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protein = gr.Slider(50,150,value=100,
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label="Daily Protein Goal",
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visible=False)
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grocery_output = gr.Textbox(
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gr.update(visible=True),
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gr.update(visible=False),
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gr.update(visible=False),
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)
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def show_grocery():
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return (
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"Smart Grocery Intelligence",
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gr.update(visible=False),
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gr.update(visible=False),
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gr.update(visible=True),
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gr.update(visible=True),
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)
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overview_btn.click(
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show_overview,
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outputs=[content, cam, status, protein, grocery_output]
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)
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demo.launch()
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import gradio as gr
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# ===============================
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# FUNCTIONS
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# ===============================
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def monitor(image):
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if image is None:
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return None, "Waiting for camera..."
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status = "SAFE ✅"
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return image, status
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def grocery_calc(protein_goal):
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current = 62 # demo value
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return f"Estimated Protein Intake: {current}g / {protein_goal}g"
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# ===============================
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# CUSTOM CSS
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# ===============================
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css = """
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body {
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background-color: #0f172a;
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color: white;
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}
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"""
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# ===============================
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# UI
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# ===============================
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with gr.Blocks(title="Kitchen AI Dashboard") as demo:
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gr.Markdown("# 🍳 AI Kitchen Safety & Smart Grocery Dashboard")
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overview_btn = gr.Button("Overview")
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monitor_btn = gr.Button("Live Monitor")
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grocery_btn = gr.Button("Smart Grocery")
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logs_btn = gr.Button("Weekly Logs")
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team_btn = gr.Button("Team")
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# -------- MAIN PANEL ----------
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with gr.Column(scale=4):
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content = gr.Markdown(
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"Welcome to the AI Kitchen Monitoring System"
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)
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# CAMERA
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cam = gr.Image(
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sources=["webcam"],
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visible=False,
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label="Kitchen Camera"
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)
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status = gr.Textbox(
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label="Hazard Status",
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visible=False
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)
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# GROCERY
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protein = gr.Slider(
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50,
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150,
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value=100,
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label="Daily Protein Goal",
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visible=False
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)
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grocery_output = gr.Textbox(
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label="Protein Analysis",
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visible=False
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)
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# ===============================
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# NAVIGATION FUNCTIONS
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# ===============================
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def show_overview():
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return (
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"## Overview\n"
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"AI system for kitchen safety monitoring and "
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"smart grocery intelligence using HOG + ML models.",
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gr.update(visible=False),
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gr.update(visible=False),
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gr.update(visible=False),
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gr.update(visible=False),
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)
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def show_monitor():
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return (
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"## Live Kitchen Monitoring",
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gr.update(visible=True),
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gr.update(visible=True),
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gr.update(visible=False),
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gr.update(visible=False),
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)
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def show_grocery():
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return (
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"## Smart Grocery Intelligence",
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gr.update(visible=False),
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gr.update(visible=False),
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gr.update(visible=True),
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gr.update(visible=True),
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)
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# ===============================
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# BUTTON EVENTS
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# ===============================
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overview_btn.click(
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show_overview,
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outputs=[content, cam, status, protein, grocery_output],
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)
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monitor_btn.click(
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show_monitor,
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outputs=[content, cam, status, protein, grocery_output],
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)
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grocery_btn.click(
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show_grocery,
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outputs=[content, cam, status, protein, grocery_output],
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)
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cam.change(
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monitor,
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inputs=cam,
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outputs=[cam, status],
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)
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protein.change(
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grocery_calc,
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inputs=protein,
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outputs=grocery_output,
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)
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# ===============================
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# LAUNCH
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# ===============================
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demo.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,4 @@
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gradio
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opencv-python-headless
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numpy
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scikit-learn
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