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Runtime error
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Update app.py
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app.py
CHANGED
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@@ -6,10 +6,9 @@ import logging
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from moviepy.editor import VideoFileClip
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import torch
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-
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ACCESS_KEY = os.getenv("ACCESS_KEY")
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# Configure PyTorch for deterministic behavior
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torch.set_num_threads(1)
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torch.set_num_interop_threads(1)
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torch.use_deterministic_algorithms(True)
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@@ -19,7 +18,7 @@ torch.backends.cuda.matmul.allow_tf32 = False
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torch.backends.cudnn.allow_tf32 = False
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def truncate_video(video_file):
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clip = VideoFileClip(video_file)
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truncated_clip = clip.subclip(0, min(15, clip.duration))
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truncated_video_file = "temp_truncated_video.mp4"
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@@ -27,7 +26,6 @@ def truncate_video(video_file):
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return truncated_video_file
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def clone_repo():
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"""Clone the GitHub repository containing the backend."""
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repo_url = "https://github.com/NeeravSood/AllMark-MVP.git"
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repo_path = "./repository"
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@@ -53,7 +51,6 @@ def clone_repo():
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raise RuntimeError(f"Failed to clone repository: {e.stderr}")
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def import_backend_script(script_name):
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"""Dynamically import the backend script."""
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try:
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script_path = os.path.join("./repository", script_name)
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if not os.path.exists(script_path):
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@@ -67,7 +64,7 @@ def import_backend_script(script_name):
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logging.error(f"Error importing backend script: {str(e)}")
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raise RuntimeError(f"Failed to import backend script: {str(e)}")
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clone_repo()
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backend = import_backend_script("app.py")
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analyzer = backend.DeepfakeAnalyzer()
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@@ -78,8 +75,7 @@ def analyze_video(video_file):
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logging.error("Access key not set in environment variables.")
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return {"error": "Server misconfiguration. Access key not set."}
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expected_key = "expected_internal_key_here"
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if ACCESS_KEY != expected_key:
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logging.error("Unauthorized access attempt.")
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return {"error": "Unauthorized access. Invalid key provided."}
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@@ -88,7 +84,6 @@ def analyze_video(video_file):
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truncated_video = truncate_video(video_file)
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results = analyzer.analyze_media(truncated_video)
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# Get combined_assessment and handle non-numeric values
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combined_assessment = results.get('combined_assessment', 0)
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if isinstance(combined_assessment, str) and combined_assessment.lower() == "deepfake":
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analysis_result = "a deepfake"
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from moviepy.editor import VideoFileClip
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import torch
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ACCESS_KEY = os.getenv("ACCESS_KEY")
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torch.set_num_threads(1)
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torch.set_num_interop_threads(1)
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torch.use_deterministic_algorithms(True)
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torch.backends.cudnn.allow_tf32 = False
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def truncate_video(video_file):
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clip = VideoFileClip(video_file)
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truncated_clip = clip.subclip(0, min(15, clip.duration))
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truncated_video_file = "temp_truncated_video.mp4"
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return truncated_video_file
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def clone_repo():
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repo_url = "https://github.com/NeeravSood/AllMark-MVP.git"
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repo_path = "./repository"
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raise RuntimeError(f"Failed to clone repository: {e.stderr}")
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def import_backend_script(script_name):
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try:
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script_path = os.path.join("./repository", script_name)
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if not os.path.exists(script_path):
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logging.error(f"Error importing backend script: {str(e)}")
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raise RuntimeError(f"Failed to import backend script: {str(e)}")
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clone_repo()
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backend = import_backend_script("app.py")
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analyzer = backend.DeepfakeAnalyzer()
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logging.error("Access key not set in environment variables.")
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return {"error": "Server misconfiguration. Access key not set."}
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expected_key = ACCESS_KEY # Directly using the environment variable
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if ACCESS_KEY != expected_key:
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logging.error("Unauthorized access attempt.")
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return {"error": "Unauthorized access. Invalid key provided."}
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truncated_video = truncate_video(video_file)
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results = analyzer.analyze_media(truncated_video)
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combined_assessment = results.get('combined_assessment', 0)
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if isinstance(combined_assessment, str) and combined_assessment.lower() == "deepfake":
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analysis_result = "a deepfake"
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