Upload app.py
Browse files
app.py
CHANGED
@@ -22,242 +22,242 @@ def upload_file(files):
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file_paths = [file.name for file in files]
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return file_paths
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def add_new_eval(
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def add_new_eval_i2v(
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def get_normalized_df(df):
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# final_score = df.drop('name', axis=1).sum(axis=1)
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file_paths = [file.name for file in files]
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return file_paths
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# def add_new_eval(
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# input_file,
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# model_name_textbox: str,
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# revision_name_textbox: str,
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# model_link: str,
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# team_name: str,
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# contact_email: str,
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# access_type: str,
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# model_publish: str,
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# model_resolution: str,
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# model_fps: str,
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# model_frame: str,
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# model_video_length: str,
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# model_checkpoint: str,
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# model_commit_id: str,
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# model_video_format: str
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# ):
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# if input_file is None:
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# return "Error! Empty file!"
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# if model_link == '' or model_name_textbox == '' or contact_email == '':
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# return gr.update(visible=True), gr.update(visible=False), gr.update(visible=True)
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# # upload_data=json.loads(input_file)
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# upload_content = input_file
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# # submission_repo = Repository(local_dir=SUBMISSION_NAME, clone_from=SUBMISSION_URL, use_auth_token=HF_TOKEN, repo_type="dataset")
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# # submission_repo.git_pull()
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# filename = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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# now = datetime.datetime.now()
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# update_time = now.strftime("%Y-%m-%d") # Capture update time
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# with open(f'{SUBMISSION_NAME}/{filename}.zip','wb') as f:
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# f.write(input_file)
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# # shutil.copyfile(CSV_DIR, os.path.join(SUBMISSION_NAME, f"{input_file}"))
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# csv_data = pd.read_csv(CSV_DIR)
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# if revision_name_textbox == '':
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# col = csv_data.shape[0]
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# model_name = model_name_textbox.replace(',',' ')
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# else:
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# model_name = revision_name_textbox.replace(',',' ')
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# model_name_list = csv_data['Model Name (clickable)']
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# name_list = [name.split(']')[0][1:] for name in model_name_list]
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# if revision_name_textbox not in name_list:
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# col = csv_data.shape[0]
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# else:
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# col = name_list.index(revision_name_textbox)
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# if model_link == '':
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# model_name = model_name # no url
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# else:
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# model_name = '[' + model_name + '](' + model_link + ')'
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# os.makedirs(filename, exist_ok=True)
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# with zipfile.ZipFile(io.BytesIO(input_file), 'r') as zip_ref:
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# zip_ref.extractall(filename)
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# upload_data = {}
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# for file in os.listdir(filename):
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# if file.startswith('.') or file.startswith('__'):
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# print(f"Skip the file: {file}")
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# continue
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# cur_file = os.path.join(filename, file)
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# if os.path.isdir(cur_file):
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# for subfile in os.listdir(cur_file):
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# if subfile.endswith(".json"):
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# with open(os.path.join(cur_file, subfile)) as ff:
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# cur_json = json.load(ff)
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# print(file, type(cur_json))
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# if isinstance(cur_json, dict):
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# print(cur_json.keys())
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# for key in cur_json:
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# upload_data[key.replace('_',' ')] = cur_json[key][0]
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# print(f"{key}:{cur_json[key][0]}")
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# elif cur_file.endswith('json'):
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# with open(cur_file) as ff:
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# cur_json = json.load(ff)
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# print(file, type(cur_json))
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# if isinstance(cur_json, dict):
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# print(cur_json.keys())
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# for key in cur_json:
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# upload_data[key.replace('_',' ')] = cur_json[key][0]
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# print(f"{key}:{cur_json[key][0]}")
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# # add new data
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# new_data = [model_name]
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# print('upload_data:', upload_data)
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# for key in TASK_INFO:
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# if key in upload_data:
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# new_data.append(upload_data[key])
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# else:
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# new_data.append(0)
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# if team_name =='' or 'vbench' in team_name.lower():
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# new_data.append("User Upload")
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# else:
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# new_data.append(team_name)
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# new_data.append(contact_email.replace(',',' and ')) # Add contact email [private]
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# new_data.append(update_time) # Add the update time
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# new_data.append(team_name)
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# new_data.append(access_type)
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# csv_data.loc[col] = new_data
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# csv_data = csv_data.to_csv(CSV_DIR, index=False)
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# with open(INFO_DIR,'a') as f:
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# f.write(f"{model_name}\t{update_time}\t{model_publish}\t{model_resolution}\t{model_fps}\t{model_frame}\t{model_video_length}\t{model_checkpoint}\t{model_commit_id}\t{model_video_format}\n")
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# submission_repo.push_to_hub()
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# print("success update", model_name)
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# return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)
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+
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# def add_new_eval_i2v(
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# input_file,
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# model_name_textbox: str,
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# revision_name_textbox: str,
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# model_link: str,
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# team_name: str,
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# contact_email: str,
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# access_type: str,
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# model_publish: str,
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# model_resolution: str,
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# model_fps: str,
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# model_frame: str,
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# model_video_length: str,
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# model_checkpoint: str,
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# model_commit_id: str,
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# model_video_format: str
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# ):
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# COLNAME2KEY={
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# "Video-Text Camera Motion":"camera_motion",
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# "Video-Image Subject Consistency": "i2v_subject",
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# "Video-Image Background Consistency": "i2v_background",
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# "Subject Consistency": "subject_consistency",
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# "Background Consistency": "background_consistency",
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# "Motion Smoothness": "motion_smoothness",
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# "Dynamic Degree": "dynamic_degree",
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# "Aesthetic Quality": "aesthetic_quality",
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# "Imaging Quality": "imaging_quality",
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# "Temporal Flickering": "temporal_flickering"
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# }
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# if input_file is None:
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# return "Error! Empty file!"
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# if model_link == '' or model_name_textbox == '' or contact_email == '':
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# return gr.update(visible=True), gr.update(visible=False), gr.update(visible=True)
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# upload_content = input_file
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# submission_repo = Repository(local_dir=SUBMISSION_NAME, clone_from=SUBMISSION_URL, use_auth_token=HF_TOKEN, repo_type="dataset")
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# submission_repo.git_pull()
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# filename = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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# now = datetime.datetime.now()
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# update_time = now.strftime("%Y-%m-%d") # Capture update time
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# with open(f'{SUBMISSION_NAME}/{filename}.zip','wb') as f:
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# f.write(input_file)
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# # shutil.copyfile(CSV_DIR, os.path.join(SUBMISSION_NAME, f"{input_file}"))
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+
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# csv_data = pd.read_csv(I2V_DIR)
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# if revision_name_textbox == '':
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# col = csv_data.shape[0]
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# model_name = model_name_textbox.replace(',',' ')
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# else:
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# model_name = revision_name_textbox.replace(',',' ')
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# model_name_list = csv_data['Model Name (clickable)']
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# name_list = [name.split(']')[0][1:] for name in model_name_list]
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# if revision_name_textbox not in name_list:
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# col = csv_data.shape[0]
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# else:
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# col = name_list.index(revision_name_textbox)
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# if model_link == '':
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# model_name = model_name # no url
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# else:
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# model_name = '[' + model_name + '](' + model_link + ')'
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+
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# os.makedirs(filename, exist_ok=True)
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# with zipfile.ZipFile(io.BytesIO(input_file), 'r') as zip_ref:
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# zip_ref.extractall(filename)
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+
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# upload_data = {}
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# for file in os.listdir(filename):
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# if file.startswith('.') or file.startswith('__'):
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# print(f"Skip the file: {file}")
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# continue
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# cur_file = os.path.join(filename, file)
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# if os.path.isdir(cur_file):
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# for subfile in os.listdir(cur_file):
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# if subfile.endswith(".json"):
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# with open(os.path.join(cur_file, subfile)) as ff:
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# cur_json = json.load(ff)
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# print(file, type(cur_json))
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# if isinstance(cur_json, dict):
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# print(cur_json.keys())
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# for key in cur_json:
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# upload_data[key] = cur_json[key][0]
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# print(f"{key}:{cur_json[key][0]}")
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# elif cur_file.endswith('json'):
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# with open(cur_file) as ff:
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# cur_json = json.load(ff)
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# print(file, type(cur_json))
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# if isinstance(cur_json, dict):
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# print(cur_json.keys())
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# for key in cur_json:
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# upload_data[key] = cur_json[key][0]
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# print(f"{key}:{cur_json[key][0]}")
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# # add new data
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# new_data = [model_name]
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# print('upload_data:', upload_data)
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# I2V_HEAD= ["Video-Text Camera Motion",
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# "Video-Image Subject Consistency",
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# "Video-Image Background Consistency",
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# "Subject Consistency",
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# "Background Consistency",
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# "Temporal Flickering",
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# "Motion Smoothness",
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# "Dynamic Degree",
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# "Aesthetic Quality",
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# "Imaging Quality" ]
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# for key in I2V_HEAD :
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# sub_key = COLNAME2KEY[key]
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# if sub_key in upload_data:
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# new_data.append(upload_data[sub_key])
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# else:
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# new_data.append(0)
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# if team_name =='' or 'vbench' in team_name.lower():
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# new_data.append("User Upload")
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# else:
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# new_data.append(team_name)
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+
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# new_data.append(contact_email.replace(',',' and ')) # Add contact email [private]
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# new_data.append(update_time) # Add the update time
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# new_data.append(team_name)
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# new_data.append(access_type)
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+
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# csv_data.loc[col] = new_data
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# csv_data = csv_data.to_csv(I2V_DIR , index=False)
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# with open(INFO_DIR,'a') as f:
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# f.write(f"{model_name}\t{update_time}\t{model_publish}\t{model_resolution}\t{model_fps}\t{model_frame}\t{model_video_length}\t{model_checkpoint}\t{model_commit_id}\t{model_video_format}\n")
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# submission_repo.push_to_hub()
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# print("success update", model_name)
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260 |
+
# return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)
|
261 |
|
262 |
def get_normalized_df(df):
|
263 |
# final_score = df.drop('name', axis=1).sum(axis=1)
|