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app.py
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import re
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import os
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import xml.etree.ElementTree as ET
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from dataclasses import dataclass
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from typing import List
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import gradio as gr
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# Configuration
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FPS = 24
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OUTPUT_DIR = "./Output"
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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def parse_timecode_to_frames(tc: str, fps: int = FPS) -> int:
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m = re.match(r"^\s*(\d{2}):(\d{2}):(\d{2})[:;](\d{2})\s*$", tc)
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if not m:
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raise ValueError(f"Invalid timecode: {tc}")
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hh, mm, ss, ff = map(int, m.groups())
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return hh*3600*fps + mm*60*fps + ss*fps + ff
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def frames_to_timecode(frames: int, fps: int = FPS) -> str:
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hh = frames // (3600*fps)
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rem = frames % (3600*fps)
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mm = rem // (60*fps)
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rem = rem % (60*fps)
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ss = rem // fps
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ff = rem % fps
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return f"{hh:02d}:{mm:02d}:{ss:02d}:{ff:02d}"
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@dataclass
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class Segment:
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start_tc: str
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end_tc: str
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start_f: int
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end_f: int
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text: str
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score: float
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def parse_transcript(txt: str) -> List[Segment]:
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lines = [l.strip() for l in txt.splitlines() if l.strip()]
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results = []
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pat_range = re.compile(r"^\[?\s*(\d{2}:\d{2}:\d{2}[:;]\d{2})\s*[-–]\s*(\d{2}:\d{2}:\d{2}[:;]\d{2})\s*\]?\s+(.*)$")
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pat_point = re.compile(r"^(\d{2}:\d{2}:\d{2}[:;]\d{2})\s+(.*)$")
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for l in lines:
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m = pat_range.match(l)
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if m:
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s, e, text = m.groups()
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try:
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s_f = parse_timecode_to_frames(s)
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e_f = parse_timecode_to_frames(e)
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if e_f > s_f:
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results.append(Segment(s, e, s_f, e_f, text, 0.0))
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except Exception:
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continue
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continue
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m = pat_point.match(l)
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if m:
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s, text = m.groups()
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try:
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s_f = parse_timecode_to_frames(s)
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e_f = s_f + 4*FPS
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e = frames_to_timecode(e_f)
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results.append(Segment(s, e, s_f, e_f, text, 0.0))
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except Exception:
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continue
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return results
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def keyword_score(text: str) -> float:
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t = text.lower()
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kw_emotion = ["medo", "coragem", "raiva", "chorei", "feliz", "triste", "emocion", "culpa", "vergonha", "orgulho"]
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kw_break = ["nunca", "de repente", "contraintuitivo", "ninguém te conta", "parei", "decidi", "quebrei", "virada"]
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kw_learn = ["aprendi", "descobri", "lição", "entendi", "percebi", "insight", "melhorou", "piorou"]
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kw_viral = ["segredo", "verdade", "por trás", "3 passos", "passo a passo", "como eu", "ninguém fala"]
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score = 0.0
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for kw in kw_emotion: score += 2.0 if kw in t else 0.0
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for kw in kw_break: score += 1.5 if kw in t else 0.0
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for kw in kw_learn: score += 1.2 if kw in t else 0.0
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for kw in kw_viral: score += 1.0 if kw in t else 0.0
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score += 0.2 * text.count("!")
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score += 0.0005 * len(text)
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return score
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def select_segments(transcript_txt: str) -> List[Segment]:
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segs = parse_transcript(transcript_txt)
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if not segs:
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raise ValueError("Nenhum trecho válido encontrado na transcrição.")
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for s in segs:
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s.score = keyword_score(s.text)
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segs.sort(key=lambda x: x.score, reverse=True)
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k = min(5, max(2, len(segs)))
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return segs[:k]
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def get_sequence(root: ET.Element) -> ET.Element:
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seq = root.find(".//sequence")
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if seq is None:
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raise ValueError("Nenhuma <sequence> encontrada no XML.")
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return seq
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def ensure_rate_24fps(element: ET.Element):
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rate = element.find("./rate")
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if rate is None:
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rate = ET.SubElement(element, "rate")
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tb = rate.find("timebase")
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if tb is None:
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tb = ET.SubElement(rate, "timebase")
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tb.text = str(FPS)
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ntsc = rate.find("ntsc")
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if ntsc is None:
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ntsc = ET.SubElement(rate, "ntsc")
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ntsc.text = "FALSE"
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def deep_copy(elem: ET.Element) -> ET.Element:
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new = ET.Element(elem.tag, attrib=elem.attrib)
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new.text = elem.text
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new.tail = elem.tail
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for child in list(elem):
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new.append(deep_copy(child))
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return new
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def clear_clipitems(track_elem: ET.Element):
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for ci in list(track_elem.findall("./clipitem")):
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track_elem.remove(ci)
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def first_clipitem_ref(track_elem: ET.Element):
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return track_elem.find("./clipitem")
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def copy_file_ref(from_clip: ET.Element, to_clip: ET.Element):
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src_file = from_clip.find("./file")
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if src_file is not None:
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old = to_clip.find("./file")
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if old is not None:
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to_clip.remove(old)
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to_clip.append(deep_copy(src_file))
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def build_clipitem(template_ci: ET.Element, cid: str, start_f: int, end_f: int, in_f: int, out_f: int, linked_ids):
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ci = ET.Element("clipitem", {"id": cid})
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name = template_ci.find("name")
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ci_name = ET.SubElement(ci, "name")
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ci_name.text = name.text if name is not None else cid
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rate = template_ci.find("rate")
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ci.append(deep_copy(rate) if rate is not None else ET.Element("rate"))
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ensure_rate_24fps(ci)
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for tag, val in [("start", start_f), ("end", end_f), ("in", in_f), ("out", out_f)]:
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t = ET.SubElement(ci, tag)
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t.text = str(val)
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copy_file_ref(template_ci, ci)
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for lid in linked_ids:
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link = ET.SubElement(ci, "link")
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linkclipref = ET.SubElement(link, "linkclipref")
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linkclipref.text = lid
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mediatype = ET.SubElement(link, "mediatype")
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mediatype.text = "video" if "-v" in lid else "audio"
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return ci
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def edit_sequence_with_segments(tree: ET.ElementTree, segs: List[Segment]) -> ET.ElementTree:
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root = tree.getroot()
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seq = get_sequence(root)
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ensure_rate_24fps(seq)
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video_track = seq.find("./media/video/track")
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audio_track = seq.find("./media/audio/track")
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if video_track is None or audio_track is None:
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raise ValueError("Estrutura de trilhas não encontrada (esperado media/video/track e media/audio/track).")
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v_tpl = first_clipitem_ref(video_track)
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a_tpl = first_clipitem_ref(audio_track)
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if v_tpl is None or a_tpl is None:
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raise ValueError("Não há clipitem de referência em V1 e/ou A1.")
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clear_clipitems(video_track)
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clear_clipitems(audio_track)
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cursor = 0
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for idx, s in enumerate(segs, start=1):
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dur = s.end_f - s.start_f
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start = cursor
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end = cursor + dur
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v_id = f"clipitem-v-cut{idx}"
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a_id = f"clipitem-a-cut{idx}"
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v_ci = build_clipitem(v_tpl, v_id, start, end, s.start_f, s.end_f, [a_id])
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a_ci = build_clipitem(a_tpl, a_id, start, end, s.start_f, s.end_f, [v_id])
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video_track.append(v_ci)
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audio_track.append(a_ci)
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cursor = end
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return tree
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def process_xml_and_transcript(premiere_xml_file, transcript_txt_file):
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if premiere_xml_file is None or transcript_txt_file is None:
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return "Envie o XML do Premiere e a transcrição em .txt.", None
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with open(transcript_txt_file.name, "r", encoding="utf-8") as f:
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transcript = f.read()
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segments = select_segments(transcript)
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tree = ET.parse(premiere_xml_file.name)
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tree = edit_sequence_with_segments(tree, segments)
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base = os.path.splitext(os.path.basename(premiere_xml_file.name))[0]
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out_path = os.path.join(OUTPUT_DIR, f"{base}_EDITADO.xml")
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tree.write(out_path, encoding="utf-8", xml_declaration=True)
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resumo = "Cortes aplicados (24 fps):\n"
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for i, s in enumerate(segments, 1):
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resumo += f"{i}. {s.start_tc} -> {s.end_tc} | {s.end_f - s.start_f} frames | {s.text[:120]}\n"
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return resumo, out_path
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demo = gr.Interface(
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fn=process_xml_and_transcript,
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inputs=[
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gr.File(label="XML da sequência do Premiere (FCP XML)", file_types=[".xml"]),
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gr.File(label="Transcrição (.txt) com timecodes hh:mm:ss:ff", file_types=[".txt"]),
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],
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outputs=[
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gr.Textbox(label="Resumo dos cortes aplicados"),
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gr.File(label="Download do XML Editado"),
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],
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title="Agente de Edição XML para Premiere (24 fps)",
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description=(
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"Lê a transcrição com timecodes e recria a timeline na mesma sequência, com 2–5 trechos fortes. "
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"Não cria nova sequência, não adiciona mídias externas e mantém trilhas originais."
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),
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allow_flagging="never",
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)
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if __name__ == "__main__":
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demo.launch()
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