"""
app.py — GharScan HuggingFace Space
Uses gr.Blocks (ZeroGPU-compatible). Custom CSS for Off-Brand badge.
"""
import os
import spaces
import gradio as gr
from PIL import Image
from pathlib import Path
from inference import run_gharscan_pipeline
from agent_trace import AgentTraceLogger
trace_logger = AgentTraceLogger()
# ── ZeroGPU-compatible inference ──────────────────────────────────────────────
@spaces.GPU
def analyze_image(image: Image.Image, language: str) -> dict:
if image is None:
return {}
session = trace_logger.start_trace()
report = run_gharscan_pipeline(image, language=language, trace_session=session)
trace_logger.save_trace(session)
return report
def analyze_and_render(image, language):
if image is None:
return "Please upload or take a photo first.
"
r = analyze_image(image, language)
if not r.get("analysis_ok"):
return f"⚠️ {r.get('description','Analysis failed.')}
"
color = r.get("severity_color", "#6b7280")
sev = r.get("severity", 0)
pct = sev * 20
struct_html = ""
if r.get("is_structural"):
struct_html = f"""
⚠️ STRUCTURAL RISK — {r.get("structural_reasoning","")}
"""
else:
struct_html = "✅ Not Structural — No immediate safety risk
"
liability = ""
if r.get("show_liability_banner"):
liability = f"⚠️ {r.get('liability_text','')}
"
disclaimer = ""
if r.get("disclaimer"):
disclaimer = f"{r['disclaimer']}
"
monsoon = ""
if r.get("monsoon_risk"):
monsoon = "🌧️ Monsoon Risk: This defect worsens during heavy rainfall. Address before June.
"
return f"""
{struct_html}
{r.get("defect_display","")}
{r.get("defect_type","").replace("_"," ").upper()}
{sev}
{r.get("severity_label","").upper()}
CosmeticModerateCritical
WHAT IT IS
{r.get("description","")}
WHY IT HAPPENS
{r.get("primary_cause","")}
WHAT TO DO
{r.get("immediate_action","")}
WHEN TO ACT
{r.get("urgency_display","")}
{r.get("cost_range_inr","")}
👷 {r.get("professional_display","")}
{monsoon}
{liability}
{disclaimer}
🏗️
GharScan
AI Building Defect Inspector · India
● Qwen2-VL-2B · 2.07B
""")
with gr.Row():
image_input = gr.Image(
sources=["upload", "webcam"],
type="pil",
label="📸 Take Photo or Upload",
height=300,
)
language = gr.Radio(
choices=["en", "hi"],
value="en",
label="Output language",
)
analyze_btn = gr.Button("🔍 Analyse Defect", variant="primary", size="lg")
report_output = gr.HTML(label="Inspection Report")
analyze_btn.click(
fn=analyze_and_render,
inputs=[image_input, language],
outputs=report_output,
api_name="analyze"
)
gr.HTML("""
Qwen2-VL-2B fine-tuned on Indian building defects · No cloud APIs
🏗️ Built for Build Small Hackathon 2026 · Backyard AI Track
GharScan is a triage aid, not a substitute for professional structural assessment.
""")
demo.queue()
demo.launch()