Create app.py

app.py

@@ -0,0 +1,61 @@
+import os, shutil
+import gradio as gr
+from runner import AutomationRunner
+
+# đảm bảo thư mục output luôn sạch
+def clean_outputs():
+    if os.path.exists("outputs"):
+        shutil.rmtree("outputs")
+    os.makedirs("outputs", exist_ok=True)
+    os.makedirs("images", exist_ok=True)
+
+def run_automation(prompts, avatar, headless, wait_time, mode):
+    clean_outputs()
+    # lưu prompt
+    with open("input.txt", "w", encoding="utf-8") as f:
+        f.write(prompts)
+
+    avatar_path = None
+    if avatar is not None:
+        avatar.save(os.path.join("images", avatar.name))
+        avatar_path = os.path.abspath(os.path.join("images", avatar.name))
+
+    logs = []
+    def log_cb(msg):
+        logs.append(msg)
+
+    runner = AutomationRunner(
+        headless=headless,
+        wait_time=wait_time,
+        avatar_image_path=avatar_path,
+        video_folder="outputs",
+        mode=mode,
+        log_callback=log_cb
+    )
+    runner.run()
+
+    # collect kết quả
+    videos = sorted([os.path.join("outputs",f) for f in os.listdir("outputs") if f.endswith(".mp4")])
+    return logs, videos
+
+with gr.Blocks() as demo:
+    gr.Markdown("## HaiLuo AI Video Automation")
+    with gr.Row():
+        with gr.Column():
+            prompts = gr.Textbox(lines=8, label="Nhập các Scene (mỗi dòng 'Scene X: ...')", value="Scene 1: ")
+            avatar = gr.File(label="Ảnh nhân vật (tuỳ chọn)")
+            mode = gr.Radio(["subject","text"], label="Chế độ", value="subject")
+            headless = gr.Checkbox(label="Chạy headless", value=True)
+            wait_time = gr.Slider(60, 1800, value=600, step=30, label="Thời gian chờ (giây)")
+            run_btn = gr.Button("🚀 Chạy Automation")
+        with gr.Column():
+            log_output = gr.Textbox(lines=15, label="Logs", interactive=False)
+            video_files = gr.File(label="Video đầu ra", file_count="multiple")
+    run_btn.click(
+        run_automation,
+        inputs=[prompts, avatar, headless, wait_time, mode],
+        outputs=[log_output, video_files]
+    )
+
+if __name__ == "__main__":
+    demo.launch()