Fix port binding: simplify startup, remove timeout on segments, clean SIGTERM

Dockerfile

@@ -20,4 +20,6 @@ COPY . .
 # HF Spaces expects port 7860
 EXPOSE 7860
 
-CMD ["python", "web/app.py"]
+# Use exec form so Python receives SIGTERM directly and shuts down cleanly
+STOPSIGNAL SIGTERM
+CMD ["python", "-u", "web/app.py"]

web/app.py

@@ -885,23 +885,10 @@ async def get_results(sid: str):
 
 if __name__ == "__main__":
     import uvicorn
-    import socket
 
     port = int(os.getenv("PORT", "7860" if IS_SPACES else "8000"))
     host = "0.0.0.0" if IS_SPACES else "127.0.0.1"
 
-    # Kill any process holding the port (HF Spaces restarts can leave zombies)
-    if IS_SPACES:
-        import subprocess
-        subprocess.run(f"fuser -k {port}/tcp", shell=True, capture_output=True)
-
     print(f"\n  SGO Web Interface")
     print(f"  http://{host}:{port}\n")
-
-    config = uvicorn.Config(app, host=host, port=port, access_log=False)
-    server = uvicorn.Server(config)
-    # Enable SO_REUSEADDR so restarts don't fail on TIME_WAIT sockets
-    config.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-    config.socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
-    config.socket.bind((host, port))
-    server.run()
+    uvicorn.run(app, host=host, port=port, access_log=False)

web/static/index.html

@@ -855,33 +855,20 @@ async function runFullPipeline() {
     document.getElementById('pipelineProgressBar').style.width = '10%';
     logStep('Asking LLM to choose panel segments...');
 
-    let segments;
-    try {
-      const segResp = await Promise.race([
-        fetch(apiUrl('/api/suggest-segments'), {
-          method: 'POST',
-          headers: llmHeaders(),
-          body: JSON.stringify({
-            entity_text: text,
-            audience_context: audienceCtx || `People who would evaluate: ${text.substring(0, 200)}`,
-          }),
-        }),
-        new Promise((_, reject) => setTimeout(() => reject(new Error('Segment suggestion timed out after 60s')), 60000)),
-      ]);
-      if (!segResp.ok) {
-        const err = await segResp.json().catch(() => ({}));
-        throw new Error(err.detail || `Server error ${segResp.status}`);
-      }
-      const segData = await segResp.json();
-      segments = segData.segments || [];
-    } catch (e) {
-      logStep(`Segment suggestion failed: ${e.message} — using defaults`, 'err');
-      segments = [
-        {label: 'Primary audience', count: Math.ceil(panelSize / 3)},
-        {label: 'Adjacent audience', count: Math.ceil(panelSize / 3)},
-        {label: 'Skeptical perspective', count: Math.ceil(panelSize / 3)},
-      ];
+    const segResp = await fetch(apiUrl('/api/suggest-segments'), {
+      method: 'POST',
+      headers: llmHeaders(),
+      body: JSON.stringify({
+        entity_text: text,
+        audience_context: audienceCtx || `People who would evaluate: ${text.substring(0, 200)}`,
+      }),
+    });
+    if (!segResp.ok) {
+      const err = await segResp.json().catch(() => ({}));
+      throw new Error(`Failed to choose segments: ${err.detail || segResp.status}`);
     }
+    const segData = await segResp.json();
+    const segments = segData.segments || [];
 
     // Scale segment counts to match requested panel size
     const totalSuggested = segments.reduce((a, s) => a + (s.count || 8), 0);