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Merge pull request #368 from harry0703/dev
enhanced exception handling for llm and optimized video concatenation
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commit
dc460c25d2
@ -9,6 +9,8 @@ from openai.types.chat import ChatCompletion
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from app.config import config
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_max_retries = 5
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def _generate_response(prompt: str) -> str:
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content = ""
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@ -219,11 +221,8 @@ Generate a script for a video, depending on the subject of the video.
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final_script = ""
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logger.info(f"subject: {video_subject}")
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# logger.debug(f"prompt: \n{prompt}")
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response = _generate_response(prompt=prompt)
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# Return the generated script
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if response:
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def format_response(response):
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# Clean the script
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# Remove asterisks, hashes
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response = response.replace("*", "")
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@ -240,19 +239,30 @@ Generate a script for a video, depending on the subject of the video.
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selected_paragraphs = paragraphs[:paragraph_number]
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# Join the selected paragraphs into a single string
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final_script = "\n\n".join(selected_paragraphs)
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return "\n\n".join(selected_paragraphs)
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# Print to console the number of paragraphs used
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# logger.info(f"number of paragraphs used: {len(selected_paragraphs)}")
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else:
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logging.error("gpt returned an empty response")
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for i in range(_max_retries):
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try:
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response = _generate_response(prompt=prompt)
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if response:
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final_script = format_response(response)
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else:
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logging.error("gpt returned an empty response")
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# g4f may return an error message
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if final_script and "当日额度已消耗完" in final_script:
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raise ValueError(final_script)
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# g4f may return an error message
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if final_script and "当日额度已消耗完" in final_script:
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raise ValueError(final_script)
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if final_script:
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break
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except Exception as e:
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logger.error(f"failed to generate script: {e}")
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if i < _max_retries:
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logger.warning(f"failed to generate video script, trying again... {i + 1}")
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logger.success(f"completed: \n{final_script}")
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return final_script
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return final_script.strip()
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def generate_terms(video_subject: str, video_script: str, amount: int = 5) -> List[str]:
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@ -283,25 +293,28 @@ Please note that you must use English for generating video search terms; Chinese
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""".strip()
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logger.info(f"subject: {video_subject}")
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# logger.debug(f"prompt: \n{prompt}")
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response = _generate_response(prompt)
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search_terms = []
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for i in range(_max_retries):
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try:
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response = _generate_response(prompt)
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search_terms = json.loads(response)
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if not isinstance(search_terms, list) or not all(isinstance(term, str) for term in search_terms):
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logger.error("response is not a list of strings.")
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continue
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try:
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search_terms = json.loads(response)
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if not isinstance(search_terms, list) or not all(isinstance(term, str) for term in search_terms):
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raise ValueError("response is not a list of strings.")
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except Exception as e:
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match = re.search(r'\[.*]', response)
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if match:
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try:
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search_terms = json.loads(match.group())
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except json.JSONDecodeError:
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pass
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except (json.JSONDecodeError, ValueError):
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# logger.warning(f"gpt returned an unformatted response. attempting to clean...")
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# Attempt to extract list-like string and convert to list
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match = re.search(r'\["(?:[^"\\]|\\.)*"(?:,\s*"[^"\\]*")*\]', response)
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if match:
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try:
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search_terms = json.loads(match.group())
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except json.JSONDecodeError:
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logger.error(f"could not parse response: {response}")
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return []
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if search_terms and len(search_terms) > 0:
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break
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if i < _max_retries:
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logger.warning(f"failed to generate video terms, trying again... {i + 1}")
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logger.success(f"completed: \n{search_terms}")
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return search_terms
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@ -310,8 +323,8 @@ Please note that you must use English for generating video search terms; Chinese
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if __name__ == "__main__":
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video_subject = "生命的意义是什么"
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script = generate_script(video_subject=video_subject, language="zh-CN", paragraph_number=1)
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# print("######################")
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# print(script)
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# search_terms = generate_terms(video_subject=video_subject, video_script=script, amount=5)
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# print("######################")
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# print(search_terms)
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print("######################")
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print(script)
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search_terms = generate_terms(video_subject=video_subject, video_script=script, amount=5)
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print("######################")
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print(search_terms)
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@ -49,26 +49,28 @@ def combine_videos(combined_video_path: str,
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clips = []
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video_duration = 0
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raw_clips = []
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for video_path in video_paths:
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clip = VideoFileClip(video_path).without_audio()
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clip_duration = clip.duration
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start_time = 0
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while start_time < clip_duration:
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end_time = min(start_time + max_clip_duration, clip_duration)
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split_clip = clip.subclip(start_time, end_time)
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raw_clips.append(split_clip)
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logger.info(f"splitting from {start_time:.2f} to {end_time:.2f}, clip duration {clip_duration:.2f}, split_clip duration {split_clip.duration:.2f}")
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# logger.info(f"splitting from {start_time:.2f} to {end_time:.2f}, clip duration {clip_duration:.2f}, split_clip duration {split_clip.duration:.2f}")
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start_time = end_time
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if video_concat_mode.value == VideoConcatMode.sequential.value:
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break
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# random video_paths order
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if video_concat_mode.value == VideoConcatMode.random.value:
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random.shuffle(raw_clips)
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# Add downloaded clips over and over until the duration of the audio (max_duration) has been reached
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while video_duration < audio_duration:
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# random video_paths order
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if video_concat_mode.value == VideoConcatMode.random.value:
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random.shuffle(raw_clips)
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for clip in raw_clips:
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# Check if clip is longer than the remaining audio
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if (audio_duration - video_duration) < clip.duration:
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