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This pull request introduces support for VITA multimodal models by adding the VITAGenerateAPI model wrapper and specialized evaluators for the TextVQA and VideoBench datasets. The feedback focuses on improving code maintainability and robustness, including suggestions to replace a hardcoded model path with a portable alternative, refactor duplicated URL processing logic, and remove a redundant try-except block in the TextVQA evaluator. Additionally, the reviewer recommends ensuring the API URL remains customizable and adding checks for the API response format to prevent potential indexing errors.
| attr="service", | ||
| type=VITAGenerateAPI, | ||
| abbr="vita-generate-chat", | ||
| path="/mnt/nfs/weight/VITA-MLLM/VITA-1___5", |
| processed_predictions = [] | ||
| for pred in predictions: | ||
| try: | ||
| processed_predictions.append(self._extract_answer(pred)) | ||
| except Exception: | ||
| processed_predictions.append(pred if isinstance(pred, str) else "") |
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Catching a broad Exception is generally discouraged as it can hide unexpected bugs. Since _extract_answer already includes a check for non-string inputs (line 356), this try-except block is redundant and can be simplified using a list comprehension.
| processed_predictions = [] | |
| for pred in predictions: | |
| try: | |
| processed_predictions.append(self._extract_answer(pred)) | |
| except Exception: | |
| processed_predictions.append(pred if isinstance(pred, str) else "") | |
| processed_predictions = [self._extract_answer(pred) for pred in predictions] |
| verbose=verbose, | ||
| ) | ||
| self.model = model | ||
| self.url = self._get_url() |
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The url parameter passed to the constructor is unconditionally overwritten by self._get_url(). This prevents users from providing a custom full URL via the configuration. It is better to use the provided URL if it is not empty.
| self.url = self._get_url() | |
| self.url = url if url else self._get_url() |
| for item in input_data: | ||
| if item["type"] == "image_url": | ||
| image_url = item["image_url"] | ||
| if isinstance(image_url, dict) and "url" in image_url: | ||
| image_url = image_url["url"] | ||
| if isinstance(image_url, str) and image_url.startswith("file://"): | ||
| image_url = image_url[len("file://"):] | ||
| prompt.append({ | ||
| "type": "image_url", | ||
| "image_url": image_url | ||
| }) | ||
|
|
||
| elif item["type"] == "video_url": | ||
| video_url = item["video_url"] | ||
| if isinstance(video_url, dict) and "url" in video_url: | ||
| video_url = video_url["url"] | ||
| if isinstance(video_url, str) and video_url.startswith("file://"): | ||
| video_url = video_url[len("file://"):] | ||
| prompt.append({ | ||
| "type": "video_url", | ||
| "video_url": video_url | ||
| }) | ||
|
|
||
| elif item["type"] == "audio_url": | ||
| audio_url = item["audio_url"] | ||
| if isinstance(audio_url, dict) and "url" in audio_url: | ||
| audio_url = audio_url["url"] | ||
| if isinstance(audio_url, str) and audio_url.startswith("file://"): | ||
| audio_url = audio_url[len("file://"):] | ||
| prompt.append({ | ||
| "type": "audio_url", | ||
| "audio_url": audio_url | ||
| }) | ||
|
|
||
| elif item["type"] == "text": | ||
| prompt.append({ | ||
| "type": "text", | ||
| "text": item["text"] | ||
| }) |
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There is significant code duplication in handling image_url, video_url, and audio_url. These blocks follow the same logic of extracting the URL and stripping the file:// prefix. Refactoring this into a more generic loop improves maintainability.
| for item in input_data: | |
| if item["type"] == "image_url": | |
| image_url = item["image_url"] | |
| if isinstance(image_url, dict) and "url" in image_url: | |
| image_url = image_url["url"] | |
| if isinstance(image_url, str) and image_url.startswith("file://"): | |
| image_url = image_url[len("file://"):] | |
| prompt.append({ | |
| "type": "image_url", | |
| "image_url": image_url | |
| }) | |
| elif item["type"] == "video_url": | |
| video_url = item["video_url"] | |
| if isinstance(video_url, dict) and "url" in video_url: | |
| video_url = video_url["url"] | |
| if isinstance(video_url, str) and video_url.startswith("file://"): | |
| video_url = video_url[len("file://"):] | |
| prompt.append({ | |
| "type": "video_url", | |
| "video_url": video_url | |
| }) | |
| elif item["type"] == "audio_url": | |
| audio_url = item["audio_url"] | |
| if isinstance(audio_url, dict) and "url" in audio_url: | |
| audio_url = audio_url["url"] | |
| if isinstance(audio_url, str) and audio_url.startswith("file://"): | |
| audio_url = audio_url[len("file://"):] | |
| prompt.append({ | |
| "type": "audio_url", | |
| "audio_url": audio_url | |
| }) | |
| elif item["type"] == "text": | |
| prompt.append({ | |
| "type": "text", | |
| "text": item["text"] | |
| }) | |
| for item in input_data: | |
| item_type = item["type"] | |
| if item_type in ["image_url", "video_url", "audio_url"]: | |
| url = item[item_type] | |
| if isinstance(url, dict) and "url" in url: | |
| url = url["url"] | |
| if isinstance(url, str) and url.startswith("file://"): | |
| url = url[len("file://"):] | |
| prompt.append({"type": item_type, item_type: url}) | |
| elif item_type == "text": | |
| prompt.append({"type": "text", "text": item["text"]}) |
|
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||
| async def parse_text_response(self, api_response: dict, output: Output): | ||
| texts = api_response.get("text", []) | ||
| output.content = texts[0] if texts else "" |
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PR Type / PR类型
Related Issue | 关联 Issue
Fixes #(issue ID / issue 编号) / Relates to #(issue ID / issue 编号)
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If this PR introduces a new feature, it is better to list some use cases here and update the documentation.
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✅ Checklist / 检查列表
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🌟 Useful CI Command / 实用的CI命令
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