Spaces:
Running
on
Zero
Running
on
Zero
Update ssh
Browse files- model/matchmaker.py +15 -14
- model/model_manager.py +0 -21
- model/models/huggingface_models.py +10 -3
- serve/Ksort.py +1 -1
- serve/gradio_web.py +7 -1
- serve/update_skill.py +15 -12
- serve/upload.py +30 -60
model/matchmaker.py
CHANGED
@@ -6,9 +6,19 @@ import io, os
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import sys
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sys.path.append('../')
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from serve.constants import SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD, SSH_SKILL
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-
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def ucb_score(trueskill_diff, t, n):
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exploration_term = np.sqrt((2 * np.log(t + 1e-5)) / (n + 1e-5))
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@@ -25,29 +35,20 @@ def serialize_rating(rating):
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def deserialize_rating(rating_dict):
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return trueskill_env.Rating(mu=rating_dict['mu'], sigma=rating_dict['sigma'])
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def create_ssh_client(server, port, user, password):
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ssh = paramiko.SSHClient()
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ssh.load_system_host_keys()
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ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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ssh.connect(server, port, user, password)
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return ssh
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def save_json_via_sftp(ratings, comparison_counts, total_comparisons):
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-
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data = {
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'ratings': [serialize_rating(r) for r in ratings],
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'comparison_counts': comparison_counts.tolist(),
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'total_comparisons': total_comparisons
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}
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json_data = json.dumps(data)
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-
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with sftp.open(SSH_SKILL, 'w') as f:
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f.write(json_data)
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def load_json_via_sftp():
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with sftp.open(SSH_SKILL, 'r') as f:
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data = json.load(f)
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ratings = [deserialize_rating(r) for r in data['ratings']]
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comparison_counts = np.array(data['comparison_counts'])
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import sys
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sys.path.append('../')
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from serve.constants import SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD, SSH_SKILL
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trueskill_env = TrueSkill()
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ssh_matchmaker_client = None
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sftp_matchmaker_client = None
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def create_ssh_matchmaker_client(server, port, user, password):
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global ssh_matchmaker_client, sftp_matchmaker_client
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ssh_matchmaker_client = paramiko.SSHClient()
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ssh_matchmaker_client.load_system_host_keys()
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ssh_matchmaker_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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ssh_matchmaker_client.connect(server, port, user, password)
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sftp_matchmaker_client = ssh_matchmaker_client.open_sftp()
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def ucb_score(trueskill_diff, t, n):
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exploration_term = np.sqrt((2 * np.log(t + 1e-5)) / (n + 1e-5))
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def deserialize_rating(rating_dict):
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return trueskill_env.Rating(mu=rating_dict['mu'], sigma=rating_dict['sigma'])
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def save_json_via_sftp(ratings, comparison_counts, total_comparisons):
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global sftp_matchmaker_client
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data = {
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'ratings': [serialize_rating(r) for r in ratings],
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'comparison_counts': comparison_counts.tolist(),
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'total_comparisons': total_comparisons
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}
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json_data = json.dumps(data)
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with sftp_matchmaker_client.open(SSH_SKILL, 'w') as f:
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f.write(json_data)
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def load_json_via_sftp():
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global sftp_matchmaker_client
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with sftp_matchmaker_client.open(SSH_SKILL, 'r') as f:
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data = json.load(f)
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ratings = [deserialize_rating(r) for r in data['ratings']]
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comparison_counts = np.array(data['comparison_counts'])
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model/model_manager.py
CHANGED
@@ -59,12 +59,6 @@ class ModelManager:
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else executor.submit(self.generate_image_ig_api, prompt, model) for model in model_names]
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results = [future.result() for future in futures]
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# with concurrent.futures.ThreadPoolExecutor() as executor:
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# futures = [executor.submit(self.generate_image_ig_api, prompt, model) for model in model_names]
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# results = [future.result() for future in futures]
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# results = [self.generate_image_ig(prompt, model) for model in model_names]
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return results[0], results[1], results[2], results[3], \
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model_names[0], model_names[1], model_names[2], model_names[3]
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@@ -81,27 +75,12 @@ class ModelManager:
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prompt = get_random_mscoco_prompt()
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print(prompt)
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# with concurrent.futures.ThreadPoolExecutor() as executor:
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# model_1 = model_names[0].split('_')[1]
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# model_2 = model_names[1].split('_')[1]
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# model_3 = model_names[2].split('_')[1]
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# model_4 = model_names[3].split('_')[1]
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# result_list = draw2_from_imagen_museum("t2i", model_1, model_2, model_3, model_4)
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# image_links = result_list[0]
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# prompt_list = result_list[1]
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# print(prompt_list[0])
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with concurrent.futures.ThreadPoolExecutor() as executor:
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futures = [executor.submit(self.generate_image_ig, prompt, model) if model.startswith("huggingface")
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else executor.submit(self.generate_image_ig_api, prompt, model) for model in model_names]
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results = [future.result() for future in futures]
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# with concurrent.futures.ThreadPoolExecutor() as executor:
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# futures = [executor.submit(self.generate_image_ig_api, prompt, model) for model in model_names]
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# results = [future.result() for future in futures]
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# results = [self.generate_image_ig_api(prompt, model) for model in model_names]
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# results = [future.result() for future in futures]
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return results[0], results[1], results[2], results[3], \
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model_names[0], model_names[1], model_names[2], model_names[3], prompt
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else executor.submit(self.generate_image_ig_api, prompt, model) for model in model_names]
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results = [future.result() for future in futures]
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return results[0], results[1], results[2], results[3], \
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model_names[0], model_names[1], model_names[2], model_names[3]
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prompt = get_random_mscoco_prompt()
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print(prompt)
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with concurrent.futures.ThreadPoolExecutor() as executor:
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futures = [executor.submit(self.generate_image_ig, prompt, model) if model.startswith("huggingface")
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else executor.submit(self.generate_image_ig_api, prompt, model) for model in model_names]
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results = [future.result() for future in futures]
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return results[0], results[1], results[2], results[3], \
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model_names[0], model_names[1], model_names[2], model_names[3], prompt
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model/models/huggingface_models.py
CHANGED
@@ -6,13 +6,20 @@ import torch
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def load_huggingface_model(model_name, model_type):
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if model_name == "SD-turbo":
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sd-turbo"
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elif model_name == "SDXL-turbo":
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo"
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else:
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raise NotImplementedError
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pipe = pipe.to("
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return pipe
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def load_huggingface_model(model_name, model_type):
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# if model_name == "SD-turbo":
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# pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sd-turbo", torch_dtype=torch.float16, variant="fp16")
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# elif model_name == "SDXL-turbo":
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# pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
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# else:
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# raise NotImplementedError
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# pipe = pipe.to("cuda")
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if model_name == "SD-turbo":
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sd-turbo")
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elif model_name == "SDXL-turbo":
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pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo")
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else:
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raise NotImplementedError
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pipe = pipe.to("cpu")
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return pipe
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serve/Ksort.py
CHANGED
@@ -5,7 +5,7 @@ from .constants import KSORT_IMAGE_DIR
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from .constants import COLOR1, COLOR2, COLOR3, COLOR4
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from .vote_utils import save_any_image
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from .utils import disable_btn, enable_btn, invisible_btn
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from .upload import create_remote_directory,
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import json
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def reset_level(Top_btn):
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from .constants import COLOR1, COLOR2, COLOR3, COLOR4
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from .vote_utils import save_any_image
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from .utils import disable_btn, enable_btn, invisible_btn
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from .upload import create_remote_directory, upload_ssh_all
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import json
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def reset_level(Top_btn):
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serve/gradio_web.py
CHANGED
@@ -33,8 +33,11 @@ from .Ksort import (
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reset_vote_text,
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text_response_rank_igm,
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)
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from
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from functools import partial
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def build_side_by_side_ui_anony(models):
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notice_markdown = """
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@@ -50,6 +53,9 @@ def build_side_by_side_ui_anony(models):
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"""
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model_list = models.model_ig_list
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state0 = gr.State()
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state1 = gr.State()
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reset_vote_text,
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text_response_rank_igm,
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)
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from .upload import get_random_mscoco_prompt, create_ssh_client
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from .update_skill import create_ssh_skill_client
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from model.matchmaker import create_ssh_matchmaker_client
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from functools import partial
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from .constants import SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD
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def build_side_by_side_ui_anony(models):
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notice_markdown = """
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"""
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model_list = models.model_ig_list
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create_ssh_client(SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD)
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create_ssh_skill_client(SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD)
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create_ssh_matchmaker_client(SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD)
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state0 = gr.State()
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state1 = gr.State()
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serve/update_skill.py
CHANGED
@@ -9,6 +9,17 @@ trueskill_env = TrueSkill()
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sys.path.append('../')
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from model.models import IMAGE_GENERATION_MODELS
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def ucb_score(trueskill_diff, t, n):
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exploration_term = np.sqrt((2 * np.log(t + 1e-5)) / (n + 1e-5))
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@@ -25,29 +36,21 @@ def serialize_rating(rating):
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def deserialize_rating(rating_dict):
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return trueskill_env.Rating(mu=rating_dict['mu'], sigma=rating_dict['sigma'])
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def create_ssh_client(server, port, user, password):
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ssh = paramiko.SSHClient()
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ssh.load_system_host_keys()
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ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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ssh.connect(server, port, user, password)
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return ssh
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def save_json_via_sftp(ratings, comparison_counts, total_comparisons):
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-
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data = {
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'ratings': [serialize_rating(r) for r in ratings],
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'comparison_counts': comparison_counts.tolist(),
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'total_comparisons': total_comparisons
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}
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json_data = json.dumps(data)
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-
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with sftp.open(SSH_SKILL, 'w') as f:
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f.write(json_data)
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def load_json_via_sftp():
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with sftp.open(SSH_SKILL, 'r') as f:
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data = json.load(f)
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ratings = [deserialize_rating(r) for r in data['ratings']]
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comparison_counts = np.array(data['comparison_counts'])
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sys.path.append('../')
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from model.models import IMAGE_GENERATION_MODELS
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ssh_skill_client = None
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sftp_skill_client = None
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def create_ssh_skill_client(server, port, user, password):
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global ssh_skill_client, sftp_skill_client
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ssh_skill_client = paramiko.SSHClient()
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ssh_skill_client.load_system_host_keys()
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ssh_skill_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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ssh_skill_client.connect(server, port, user, password)
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sftp_skill_client = ssh_skill_client.open_sftp()
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def ucb_score(trueskill_diff, t, n):
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exploration_term = np.sqrt((2 * np.log(t + 1e-5)) / (n + 1e-5))
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def deserialize_rating(rating_dict):
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return trueskill_env.Rating(mu=rating_dict['mu'], sigma=rating_dict['sigma'])
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def save_json_via_sftp(ratings, comparison_counts, total_comparisons):
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global sftp_skill_client
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data = {
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'ratings': [serialize_rating(r) for r in ratings],
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'comparison_counts': comparison_counts.tolist(),
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'total_comparisons': total_comparisons
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}
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json_data = json.dumps(data)
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with sftp_skill_client.open(SSH_SKILL, 'w') as f:
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f.write(json_data)
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def load_json_via_sftp():
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global sftp_skill_client
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with sftp_skill_client.open(SSH_SKILL, 'r') as f:
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data = json.load(f)
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ratings = [deserialize_rating(r) for r in data['ratings']]
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comparison_counts = np.array(data['comparison_counts'])
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serve/upload.py
CHANGED
@@ -7,81 +7,51 @@ import json
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import random
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from .constants import SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD, SSH_LOG, SSH_MSCOCO
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def create_ssh_client(server, port, user, password):
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def get_image_from_url(image_url):
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response = requests.get(image_url)
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response.raise_for_status() # success
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return Image.open(io.BytesIO(response.content))
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# def upload_image_via_sftp(ssh, image, remote_image_path):
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# if isinstance(image, str):
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# print("get url image")
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# image = get_image_from_url(image)
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# with ssh.open_sftp() as sftp:
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# with io.BytesIO() as image_byte_stream:
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# image.save(image_byte_stream, format='JPEG')
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# image_byte_stream.seek(0)
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# sftp.putfo(image_byte_stream, remote_image_path)
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# print(f"Successfully uploaded image to {remote_image_path}")
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# def upload_json_via_sftp(ssh, data, remote_json_path):
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# json_data = json.dumps(data, indent=4)
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# with ssh.open_sftp() as sftp:
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# with io.BytesIO(json_data.encode('utf-8')) as json_byte_stream:
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# sftp.putfo(json_byte_stream, remote_json_path)
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# print(f"Successfully uploaded JSON data to {remote_json_path}")
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-
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def upload_image(states, output_dir):
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pass
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# ssh = create_ssh_client(SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD)
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# for i in range(len(states)):
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# output_file = os.path.join(output_dir, f"{i}.jpg")
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# upload_image_via_sftp(ssh, states[i].output, output_file)
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def upload_informance(data, data_path):
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pass
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# ssh = create_ssh_client(SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD)
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# upload_json_via_sftp(ssh, data, data_path)
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def get_random_mscoco_prompt():
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files = sftp.listdir(SSH_MSCOCO)
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txt_files = [file for file in files if file.endswith('.txt')]
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selected_files = random.sample(txt_files, 1) # get one prompt
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for file in selected_files:
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remote_file_path = os.path.join(SSH_MSCOCO, file)
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with
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content = f.read().decode('utf-8')
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print(f"Content of {file}:")
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64 |
print("\n")
|
65 |
-
sftp.close()
|
66 |
-
ssh.close()
|
67 |
-
|
68 |
return content
|
69 |
|
70 |
|
71 |
def create_remote_directory(remote_directory):
|
72 |
-
|
73 |
-
|
74 |
-
stdin, stdout, stderr = ssh.exec_command(f'mkdir -p {SSH_LOG}/{remote_directory}')
|
75 |
error = stderr.read().decode('utf-8')
|
76 |
if error:
|
77 |
print(f"Error: {error}")
|
78 |
else:
|
79 |
print(f"Directory {remote_directory} created successfully.")
|
80 |
-
# ssh.close()
|
81 |
return f'{SSH_LOG}/{remote_directory}'
|
82 |
|
83 |
def upload_ssh_all(states, output_dir, data, data_path):
|
84 |
-
|
85 |
output_file_list = []
|
86 |
image_list = []
|
87 |
for i in range(len(states)):
|
@@ -89,17 +59,17 @@ def upload_ssh_all(states, output_dir, data, data_path):
|
|
89 |
output_file_list.append(output_file)
|
90 |
image_list.append(states[i].output)
|
91 |
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
99 |
-
|
100 |
-
|
101 |
-
|
102 |
-
|
103 |
-
|
104 |
-
|
105 |
-
|
|
|
7 |
import random
|
8 |
from .constants import SSH_SERVER, SSH_PORT, SSH_USER, SSH_PASSWORD, SSH_LOG, SSH_MSCOCO
|
9 |
|
10 |
+
ssh_client = None
|
11 |
+
sftp_client = None
|
12 |
+
|
13 |
def create_ssh_client(server, port, user, password):
|
14 |
+
global ssh_client, sftp_client
|
15 |
+
ssh_client = paramiko.SSHClient()
|
16 |
+
ssh_client.load_system_host_keys()
|
17 |
+
ssh_client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
|
18 |
+
ssh_client.connect(server, port, user, password)
|
19 |
+
|
20 |
+
sftp_client = ssh_client.open_sftp()
|
21 |
|
22 |
def get_image_from_url(image_url):
|
23 |
response = requests.get(image_url)
|
24 |
response.raise_for_status() # success
|
25 |
return Image.open(io.BytesIO(response.content))
|
26 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
27 |
def get_random_mscoco_prompt():
|
28 |
+
global sftp_client
|
29 |
+
files = sftp_client.listdir(SSH_MSCOCO)
|
|
|
30 |
txt_files = [file for file in files if file.endswith('.txt')]
|
31 |
|
32 |
selected_files = random.sample(txt_files, 1) # get one prompt
|
33 |
|
34 |
for file in selected_files:
|
35 |
remote_file_path = os.path.join(SSH_MSCOCO, file)
|
36 |
+
with sftp_client.file(remote_file_path, 'r') as f:
|
37 |
content = f.read().decode('utf-8')
|
38 |
print(f"Content of {file}:")
|
39 |
print("\n")
|
|
|
|
|
|
|
40 |
return content
|
41 |
|
42 |
|
43 |
def create_remote_directory(remote_directory):
|
44 |
+
global ssh_client
|
45 |
+
stdin, stdout, stderr = ssh_client.exec_command(f'mkdir -p {SSH_LOG}/{remote_directory}')
|
|
|
46 |
error = stderr.read().decode('utf-8')
|
47 |
if error:
|
48 |
print(f"Error: {error}")
|
49 |
else:
|
50 |
print(f"Directory {remote_directory} created successfully.")
|
|
|
51 |
return f'{SSH_LOG}/{remote_directory}'
|
52 |
|
53 |
def upload_ssh_all(states, output_dir, data, data_path):
|
54 |
+
global sftp_client
|
55 |
output_file_list = []
|
56 |
image_list = []
|
57 |
for i in range(len(states)):
|
|
|
59 |
output_file_list.append(output_file)
|
60 |
image_list.append(states[i].output)
|
61 |
|
62 |
+
# with sftp_client as sftp:
|
63 |
+
for i in range(len(output_file_list)):
|
64 |
+
if isinstance(image_list[i], str):
|
65 |
+
print("get url image")
|
66 |
+
image_list[i] = get_image_from_url(image_list[i])
|
67 |
+
with io.BytesIO() as image_byte_stream:
|
68 |
+
image_list[i].save(image_byte_stream, format='JPEG')
|
69 |
+
image_byte_stream.seek(0)
|
70 |
+
sftp_client.putfo(image_byte_stream, output_file_list[i])
|
71 |
+
print(f"Successfully uploaded image to {output_file_list[i]}")
|
72 |
+
json_data = json.dumps(data, indent=4)
|
73 |
+
with io.BytesIO(json_data.encode('utf-8')) as json_byte_stream:
|
74 |
+
sftp_client.putfo(json_byte_stream, data_path)
|
75 |
+
print(f"Successfully uploaded JSON data to {data_path}")
|