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Update app.py
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app.py
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@@ -1,3 +1,40 @@
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import spaces
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import os
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import tempfile
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@@ -77,7 +114,8 @@ def auto_load_models() -> str:
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try:
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# 如果模型路径不存在,尝试从HuggingFace下载
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if not os.path.exists(MODEL_PATH):
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logger.info(f"模型路径 {MODEL_PATH} 不存在,开始从HuggingFace下载...")
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download_result = download_model_from_hf(local_dir=MODEL_PATH.rstrip('/'))
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if "失败" in download_result:
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@@ -177,7 +215,12 @@ def infer_single_video(
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# Merge video and audio
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video_output = os.path.join(temp_dir, f"video_with_audio_{i+1}.mp4")
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merge_audio_video(audio_output, video_file, video_output)
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video_outputs.append(video_output)
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logger.info(f"Inference completed! Generated {sample_nums} samples.")
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@@ -854,7 +897,7 @@ if __name__ == "__main__":
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app.launch(
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server_name="0.0.0.0",
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# server_port=8080,
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share=
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debug=False,
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show_error=True
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)
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'''
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import pandas as pd
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from gradio_client import Client
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# 读取CSV文件
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df = pd.read_csv("wan_gen_videos_captioned/metadata.csv")
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# 初始化Gradio客户端
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client = Client("http://localhost:7860")
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# 逐行处理DataFrame
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for index, row in df.iterrows():
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try:
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# 构建文件路径
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file_path = f"wan_gen_videos_captioned/{row['file_name']}"
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# 调用API
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result = client.predict(
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file_path, # 视频文件路径
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row['prompt'], # 对应的prompt
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4.5, # CFG Scale
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50, # Steps
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1, # Sample Nums
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fn_index=1
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)
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# 打印结果
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print(f"处理成功 - 行 {index}: {result}")
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except Exception as e:
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# 捕获异常并继续处理下一行
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print(f"处理失败 - 行 {index}: {str(e)}")
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continue
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print("所有行处理完成")
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'''
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import spaces
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import os
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import tempfile
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try:
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# 如果模型路径不存在,尝试从HuggingFace下载
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#if not os.path.exists(MODEL_PATH):
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if True:
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logger.info(f"模型路径 {MODEL_PATH} 不存在,开始从HuggingFace下载...")
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download_result = download_model_from_hf(local_dir=MODEL_PATH.rstrip('/'))
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if "失败" in download_result:
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# Merge video and audio
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video_output = os.path.join(temp_dir, f"video_with_audio_{i+1}.mp4")
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from shutil import copy2
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import time
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seconds = int(time.time())
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merge_audio_video(audio_output, video_file, video_output)
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copy2(video_output, os.path.join("." ,str(seconds) + "_" + video_output.split("/")[-1]))
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video_outputs.append(video_output)
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logger.info(f"Inference completed! Generated {sample_nums} samples.")
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app.launch(
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server_name="0.0.0.0",
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# server_port=8080,
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share=False,
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debug=False,
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show_error=True
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)
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