Screenshots via yt-dlp clip download over HTTPS proxy (ffmpeg local); trust proxy CA for yt-dlp

app.py

@@ -36,8 +36,8 @@ def _install_proxy_ca() -> None:
             roots = fh.read()
         with open(bundle, "w", encoding="utf-8") as fh:
             fh.write(roots.rstrip() + "\n" + ca + "\n")
-        os.environ["REQUESTS_CA_BUNDLE"] = bundle
-        os.environ["SSL_CERT_FILE"] = bundle
+        os.environ["REQUESTS_CA_BUNDLE"] = bundle  # requests / youtube-transcript-api
+        os.environ["SSL_CERT_FILE"] = bundle       # stdlib ssl + yt-dlp (see frames.py)
     except Exception:
         pass
 
@@ -262,17 +262,6 @@ def run_pipeline(topic, hf_token, yt_api_key, llm_model, vlm_model,
         yield (status(f"Transcript ready ({len(segs)} segments)."),
                ranking, gr.update(value=transcript), gr.update())
 
-        # 4. Resolve a stream URL for screenshots (best-effort) ----------------------
-        progress(0.45, desc="Resolving stream")
-        stream_url = None
-        try:
-            stream_url, _ = frames_mod.get_stream_url(best["video_id"], cookiefile, proxy)
-        except Exception as exc:
-            yield (status(f"⚠️ Couldn't resolve a video stream for screenshots "
-                          f"({type(exc).__name__}) — producing a **text-only** tutorial. "
-                          "Set YT_PROXY/YT_COOKIES secrets to enable screenshots."),
-                   ranking, gr.update(value=transcript), gr.update())
-
         # 5. Tutorial text -----------------------------------------------------------
         progress(0.6, desc="Writing tutorial")
         keywords = _collect_keywords(primary_kw, secondary_kw)
@@ -286,15 +275,22 @@ def run_pipeline(topic, hf_token, yt_api_key, llm_model, vlm_model,
             yield (status(f"🔑 Primary keyword '{keywords['primary']}' appears {n}× in the post."),
                    ranking, gr.update(value=transcript), gr.update())
 
-        # 6. Screenshots (weighted timestamps -> ffmpeg grab) + captions -------------
+        # 6. Screenshots (weighted timestamps -> yt-dlp clip download -> ffmpeg) ------
         selected, caps = {}, {}
-        if stream_url:
+        times = frames_mod.compute_shot_times(
+            tut["steps"], segs, w_llm=float(w_llm), w_whisper=float(w_whisper),
+            lead=float(lead), max_shots=int(max_shots))
+        if times:
             progress(0.75, desc="Screenshots")
-            times = frames_mod.compute_shot_times(
-                tut["steps"], segs, w_llm=float(w_llm), w_whisper=float(w_whisper),
-                lead=float(lead), max_shots=int(max_shots))
             yield status(f"🎞️ Capturing {len(times)} screenshots at weighted timestamps…"), ranking, gr.update(value=transcript), gr.update()
-            selected = frames_mod.capture_shots(times, stream_url, frames_dir, proxy, progress)
+            try:
+                selected = frames_mod.capture_shots(
+                    times, best["video_id"], frames_dir, cookiefile, proxy, progress)
+            except Exception as exc:
+                yield (status(f"⚠️ Couldn't fetch screenshots ({type(exc).__name__}) — "
+                              "producing a **text-only** tutorial. Ensure `YT_PROXY` is set "
+                              "(HTTPS proxy) so yt-dlp can download clips."),
+                       ranking, gr.update(value=transcript), gr.update())
             if selected:
                 progress(0.88, desc="Captioning")
                 yield status(f"✍️ Captioning {len(selected)} screenshots with `{vlm_model}`…"), ranking, gr.update(value=transcript), gr.update()