Update app.py
Browse files
app.py
CHANGED
@@ -33,15 +33,235 @@ class RAGSystem:
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{
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"severity": "Critical",
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"description": "Severe concrete spalling with exposed reinforcement and section loss",
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"repair_method": [
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"estimated_cost": "Very High ($15,000+)",
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"timeframe": "3-4 weeks",
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"location": "Primary structural elements",
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"required_expertise": "Structural Engineer + Specialist Contractor",
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"immediate_action": "Evacuate area, install temporary support, prevent access",
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"prevention": "Regular inspections, waterproofing, chloride protection"
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},
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-
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]
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}
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@@ -88,6 +308,8 @@ class RAGSystem:
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context = "\n\n".join([self.knowledge_base[i]["text"] for i in I[0]])
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return context
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def get_groq_response(query: str, context: str) -> str:
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"""Get response from Groq LLM"""
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client = init_groq_client()
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@@ -159,7 +381,30 @@ def main():
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded Image")
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#
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if __name__ == "__main__":
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main()
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{
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"severity": "Critical",
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"description": "Severe concrete spalling with exposed reinforcement and section loss",
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"repair_method": [
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"Install temporary support",
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"Remove deteriorated concrete",
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"Clean and treat reinforcement",
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"Apply corrosion inhibitor",
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"Apply bonding agent",
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"High-strength repair mortar",
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"Surface treatment and waterproofing"
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],
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"estimated_cost": "Very High ($15,000+)",
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"timeframe": "3-4 weeks",
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"location": "Primary structural elements",
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"required_expertise": "Structural Engineer + Specialist Contractor",
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"immediate_action": "Evacuate area, install temporary support, prevent access",
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"prevention": "Regular inspections, waterproofing, chloride protection",
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"testing_required": ["Core testing", "Reinforcement scanning", "Chloride testing"],
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"common_causes": [
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"Reinforcement corrosion",
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"Freeze-thaw cycles",
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"Poor concrete cover",
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"Chemical attack"
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],
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"safety_considerations": [
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"Risk of structural failure",
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"Falling concrete hazard",
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"Worker safety during repairs"
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]
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},
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{
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"severity": "Moderate",
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"description": "Surface spalling without exposed reinforcement",
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"repair_method": [
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"Remove loose concrete",
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"Surface preparation",
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"Apply repair mortar",
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"Surface treatment"
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],
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"estimated_cost": "Medium ($5,000-$10,000)",
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"timeframe": "1-2 weeks",
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"location": "Non-structural elements",
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"required_expertise": "Concrete Repair Specialist",
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"immediate_action": "Remove loose material, protect from water ingress",
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"prevention": "Surface sealers, proper drainage",
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"testing_required": ["Surface adhesion testing", "Moisture testing"],
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"common_causes": [
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"Surface carbonation",
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"Impact damage",
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"Poor curing"
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],
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"safety_considerations": [
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"Minor falling debris risk",
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"Dust control during repairs"
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]
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}
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],
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"reinforcement_corrosion": [
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{
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"severity": "Critical",
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"description": "Severe corrosion with >30% section loss",
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"repair_method": [
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"Structural support installation",
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"Concrete removal around reinforcement",
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"Reinforcement replacement",
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"Corrosion protection application",
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"High-strength concrete repair",
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"Cathodic protection installation"
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],
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"estimated_cost": "Critical ($20,000+)",
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"timeframe": "4-6 weeks",
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"location": "Load-bearing elements",
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"required_expertise": "Senior Structural Engineer",
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"immediate_action": "Immediate evacuation, emergency shoring",
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"prevention": "Waterproofing, cathodic protection",
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"testing_required": [
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"Half-cell potential survey",
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"Concrete resistivity testing",
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"Chloride analysis",
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"Carbonation testing"
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],
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"common_causes": [
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"Chloride contamination",
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"Carbonation",
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"Stray electrical currents",
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"Poor concrete quality"
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],
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"safety_considerations": [
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"Structural collapse risk",
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"Electrical hazards during testing",
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"Confined space entry"
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]
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}
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],
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"structural_cracks": [
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{
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"severity": "High",
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"description": "Active structural cracks >5mm width",
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"repair_method": [
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"Structural analysis",
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"Crack monitoring",
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"Epoxy injection",
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"Carbon fiber reinforcement",
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"Load path modification"
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],
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"estimated_cost": "High ($10,000-$20,000)",
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"timeframe": "2-4 weeks",
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"location": "Primary structural elements",
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"required_expertise": "Structural Engineer",
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"immediate_action": "Install crack monitors, restrict loading",
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"prevention": "Proper design, joint maintenance",
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"testing_required": [
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"Crack movement monitoring",
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"Load testing",
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"Concrete strength testing"
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],
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"common_causes": [
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"Overloading",
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"Foundation settlement",
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"Thermal movements",
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"Design deficiencies"
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],
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"safety_considerations": [
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"Structural stability",
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"Water infiltration",
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"Working at height"
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]
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}
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],
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"water_damage": [
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{
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"severity": "Medium",
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"description": "Active water infiltration with deterioration",
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"repair_method": [
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"Water source identification",
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"Drainage improvement",
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"Waterproofing membrane installation",
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"Joint sealing",
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"Surface treatment"
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],
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"estimated_cost": "Medium ($5,000-$15,000)",
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"timeframe": "1-3 weeks",
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"location": "Various locations",
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"required_expertise": "Waterproofing Specialist",
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"immediate_action": "Water diversion, dehumidification",
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"prevention": "Regular maintenance, proper drainage",
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"testing_required": [
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"Moisture mapping",
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"Drainage assessment",
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"Permeability testing"
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],
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"common_causes": [
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"Failed waterproofing",
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"Poor drainage",
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"Joint failure",
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"Condensation"
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],
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"safety_considerations": [
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"Slip hazards",
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"Electrical safety",
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"Mold growth"
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]
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}
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],
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"surface_deterioration": [
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{
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"severity": "Low",
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"description": "Surface scaling and deterioration",
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"repair_method": [
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"Surface cleaning",
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"Repair material application",
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"Surface treatment",
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"Protective coating"
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],
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"estimated_cost": "Low ($2,000-$5,000)",
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"timeframe": "3-5 days",
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"location": "Exposed surfaces",
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"required_expertise": "Concrete Repair Technician",
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"immediate_action": "Clean and protect surface",
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"prevention": "Regular maintenance, surface protection",
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"testing_required": [
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"Surface strength testing",
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"Coating adhesion tests"
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],
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"common_causes": [
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"Freeze-thaw damage",
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"Chemical exposure",
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"Poor finishing",
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"Abrasion"
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],
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"safety_considerations": [
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"Dust control",
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"Chemical handling",
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"PPE requirements"
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]
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}
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],
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"alkali_silica_reaction": [
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{
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"severity": "High",
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"description": "Concrete expansion and map cracking due to ASR",
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"repair_method": [
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"Expansion monitoring",
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"Moisture control",
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"Crack sealing",
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"Surface treatment",
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"Structural strengthening"
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],
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"estimated_cost": "High ($15,000-$25,000)",
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"timeframe": "3-5 weeks",
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"location": "Concrete elements",
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"required_expertise": "Materials Engineer + Structural Engineer",
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"immediate_action": "Monitor expansion, control moisture",
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"prevention": "Proper aggregate selection, pozzolans",
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"testing_required": [
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"Petrographic analysis",
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"Expansion testing",
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"Humidity monitoring"
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],
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"common_causes": [
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"Reactive aggregates",
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"High alkali cement",
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"Moisture presence",
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"Temperature cycles"
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],
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"safety_considerations": [
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"Progressive deterioration",
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"Structural integrity",
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"Long-term monitoring"
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]
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}
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]
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}
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context = "\n\n".join([self.knowledge_base[i]["text"] for i in I[0]])
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return context
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# [Rest of the code remains the same...]
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def get_groq_response(query: str, context: str) -> str:
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"""Get response from Groq LLM"""
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client = init_groq_client()
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image = Image.open(uploaded_file)
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st.image(image, caption="Uploaded Image")
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# Combine image analysis with RAG
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col1, col2 = st.columns(2)
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with col1:
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st.subheader("Image Analysis")
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# Your existing image analysis code here
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st.info("Image analysis results would appear here")
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with col2:
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st.subheader("AI Assistant Response")
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# Get relevant context from knowledge base
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context = str(KNOWLEDGE_BASE) # Simplified for example
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# Get response from Groq
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with st.spinner("Getting AI response..."):
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response = get_groq_response(user_query, context)
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st.write(response)
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# Display knowledge base sections
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if st.checkbox("Show Knowledge Base"):
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st.subheader("Available Knowledge Base")
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for category, details in KNOWLEDGE_BASE.items():
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with st.expander(category.title()):
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st.write(details)
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if __name__ == "__main__":
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main()
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