AI 生成: 一个基于 AI 的全自动短视频生成工具，输入主题即可自动生成脚本、配音、字幕和合成视频。使用 Python + Flask 提供 Web 界面，支持命令行模式。

app.py

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+# -*- coding: utf-8 -*-
+"""Flask Web 入口
+
+提供简单的 Web 界面，输入主题后自动生成短视频。
+"""
+
+import os
+import uuid
+import traceback
+from flask import Flask, render_template, request, jsonify, send_from_directory
+
+from core.script_gen import generate_script
+from core.tts import text_to_speech
+from core.subtitle import build_srt
+from core.video import compose_video
+
+app = Flask(__name__)
+OUTPUT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "output")
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+
+def _probe_duration(path: str) -> float:
+    """获取音频时长（秒）"""
+    from moviepy.editor import AudioFileClip
+    clip = AudioFileClip(path)
+    dur = clip.duration
+    clip.close()
+    return float(dur)
+
+
+def run_pipeline(topic: str, scenes: int = 5, rate: int = 160) -> dict:
+    """完整生成流水线"""
+    job_id = uuid.uuid4().hex[:8]
+    job_dir = os.path.join(OUTPUT_DIR, job_id)
+    audio_dir = os.path.join(job_dir, "audio")
+    os.makedirs(audio_dir, exist_ok=True)
+
+    script = generate_script(topic, scenes)
+
+    audio_paths = []
+    durations = []
+    for s in script:
+        ap = os.path.join(audio_dir, f"{s['index']}.mp3")
+        text_to_speech(s["text"], ap, rate=rate)
+        audio_paths.append(ap)
+        durations.append(_probe_duration(ap))
+
+    srt_path = os.path.join(job_dir, "subtitle.srt")
+    build_srt(script, durations, srt_path)
+
+    video_path = os.path.join(job_dir, "video.mp4")
+    compose_video(script, audio_paths, durations, video_path)
+
+    return {
+        "job_id": job_id,
+        "video": f"output/{job_id}/video.mp4",
+        "subtitle": f"output/{job_id}/subtitle.srt",
+        "script": script,
+    }
+
+
+@app.route("/")
+def index():
+    return render_template("index.html")
+
+
+@app.route("/api/generate", methods=["POST"])
+def api_generate():
+    data = request.get_json(force=True, silent=True) or {}
+    topic = (data.get("topic") or "").strip()
+    scenes = int(data.get("scenes") or 5)
+    rate = int(data.get("rate") or 160)
+
+    if not topic:
+        return jsonify({"ok": False, "error": "请填写主题"}), 400
+    if scenes < 1 or scenes > 8:
+        return jsonify({"ok": False, "error": "场景数需在 1-8 之间"}), 400
+
+    try:
+        result = run_pipeline(topic, scenes, rate)
+        return jsonify({"ok": True, **result})
+    except Exception as e:
+        traceback.print_exc()
+        return jsonify({"ok": False, "error": str(e)}), 500
+
+
+@app.route("/output/<path:filename>")
+def serve_output(filename):
+    return send_from_directory(OUTPUT_DIR, filename)
+
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=5000, debug=True)