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Sleeping
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Update app.py
Browse files
app.py
CHANGED
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@@ -62,7 +62,7 @@ def init_app(api_key,
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dtype=dtype,
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device="cuda")
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return {
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-
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log_output: console_logs.getvalue(),
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main_block_step_1: gr.update(visible=False),
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main_block_step_2: gr.update(visible=True),
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@@ -70,6 +70,7 @@ def init_app(api_key,
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run_sim_btn: gr.update(visible=True)
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}
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def run_simulation(topic,
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save=True,
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num_responses=50,
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@@ -121,15 +122,16 @@ def run_simulation(topic,
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subfolder = topic.replace(" ", "-")
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img_filename = f"{image_folder}/{subfolder}/tweet-img-row-0.png"
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img_fullpath = os.path.join(os.path.dirname(__file__), img_filename)
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sys.stdout=restore_point
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return {
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log_output: console_logs.getvalue(),
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simulation_output_box: gr.update(visible=True),
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saved_file: tweet_filename,
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example_image: img_fullpath
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}
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def toggle_image_params(with_images):
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if with_images:
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return {
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@@ -140,6 +142,7 @@ def toggle_image_params(with_images):
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image_params: gr.update(visible=False)
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}
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def add_token_func(add_token):
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image_tokens_list.append(add_token)
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return {
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@@ -147,8 +150,27 @@ def add_token_func(add_token):
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}
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with gr.Blocks() as demo:
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gr.HTML(title)
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with gr.Column(elem_id="main_block", visible=False) as main_block:
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with gr.Column(elem_id = "main_block_step_1", visible=True) as main_block_step_1:
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gr.HTML(value=subtitle_1)
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@@ -194,7 +216,7 @@ with gr.Blocks() as demo:
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topic = gr.Textbox(label="Enter the topic to Generate tweets (Ex: \"The Earth is Flat\")")
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save = gr.Checkbox(label="Download Generated Tweets CSV? (Y/n)", value=True)
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with gr.Accordion("Additional Parameters", open=False):
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num_responses = gr.Slider(label= "Number of total fake Tweets to generate",minimum=20, maximum=500, step=5)
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n = gr.Slider(label="Number of Tweets to return per API call (smaller = More randomized answers)", value=10, minimum=1, maximum=50, step=1)
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system_prompt = gr.Dropdown(label="",
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value=BotSimulator.assistant_prompt,
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@@ -272,7 +294,7 @@ with gr.Blocks() as demo:
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with gr.Row(elem_id="progress_box") as progress_box:
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with gr.Column():
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with gr.Column():
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log_output = gr.Textbox(every=0.5, label="Logs", lines=8)
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@@ -293,9 +315,10 @@ with gr.Blocks() as demo:
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augment_mode,
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image_every_n_posts,
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image_subtoken,
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news_company,
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text_model_name],
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outputs=[
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log_output,
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simulation_output_box,
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saved_file,
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@@ -311,16 +334,26 @@ with gr.Blocks() as demo:
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diffusion_model,
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keyword_model,
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dtype],
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outputs=[
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log_output,
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main_block_step_1,
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main_block_step_2,
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init_btn,
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run_sim_btn])
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-
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with gr.Row(elem_id="reset_block", visible=True) as reset_block:
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reset_btn = gr.Button("Reset")
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-
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with gr.Column(elem_id = "user_consent_container") as user_consent_block:
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accept_checkbox = gr.Checkbox(visible=False)
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dtype=dtype,
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device="cuda")
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return {
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progress_output: "### Current Progress \n Model Initialized Successfully! Time to Run the Simulation",
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log_output: console_logs.getvalue(),
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main_block_step_1: gr.update(visible=False),
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main_block_step_2: gr.update(visible=True),
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run_sim_btn: gr.update(visible=True)
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}
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+
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def run_simulation(topic,
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save=True,
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num_responses=50,
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subfolder = topic.replace(" ", "-")
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img_filename = f"{image_folder}/{subfolder}/tweet-img-row-0.png"
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img_fullpath = os.path.join(os.path.dirname(__file__), img_filename)
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sys.stdout = restore_point
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return {
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progress_output: "### Current Progress \n To see your results, visit the bot simulation Mastodon server. \n Link to Mastodon Server: [https://bot-simulation-research.app/home](https://bot-simulation-research.app/home)",
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log_output: console_logs.getvalue(),
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simulation_output_box: gr.update(visible=True),
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saved_file: tweet_filename,
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example_image: img_fullpath
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}
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def toggle_image_params(with_images):
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if with_images:
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return {
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image_params: gr.update(visible=False)
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}
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def add_token_func(add_token):
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image_tokens_list.append(add_token)
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return {
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}
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def reset_app():
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sys.stdout = restore_point
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console_logs = StringIO()
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return {
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progress_output: gr.update(value="### Current Progress <br>"),
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log_output: console_logs.getvalue(),
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api_key: gr.update(value=""),
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topic: gr.update(value=""),
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with_images: gr.update(value=False),
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image_params: gr.update(visible=False),
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main_block_step_1: gr.update(visible=True),
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main_block_step_2: gr.update(visible=False),
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simulation_output_box: gr.update(visible=False),
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run_sim_btn: gr.update(visible=False),
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init_btn: gr.update(visible=True)
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}
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with gr.Blocks() as demo:
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gr.HTML(title)
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demo_state = gr.State("Terms")
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with gr.Column(elem_id="main_block", visible=False) as main_block:
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with gr.Column(elem_id = "main_block_step_1", visible=True) as main_block_step_1:
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gr.HTML(value=subtitle_1)
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topic = gr.Textbox(label="Enter the topic to Generate tweets (Ex: \"The Earth is Flat\")")
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save = gr.Checkbox(label="Download Generated Tweets CSV? (Y/n)", value=True)
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with gr.Accordion("Additional Parameters", open=False):
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num_responses = gr.Slider(label= "Number of total fake Tweets to generate", value=20, minimum=20, maximum=500, step=5)
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n = gr.Slider(label="Number of Tweets to return per API call (smaller = More randomized answers)", value=10, minimum=1, maximum=50, step=1)
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system_prompt = gr.Dropdown(label="",
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value=BotSimulator.assistant_prompt,
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with gr.Row(elem_id="progress_box") as progress_box:
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with gr.Column():
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progress_output = gr.Markdown("### Current Progress <br>")
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with gr.Column():
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log_output = gr.Textbox(every=0.5, label="Logs", lines=8)
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augment_mode,
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image_every_n_posts,
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image_subtoken,
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image_tokens,
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news_company,
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text_model_name],
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outputs=[progress_output,
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log_output,
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simulation_output_box,
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saved_file,
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diffusion_model,
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keyword_model,
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dtype],
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outputs=[progress_output,
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log_output,
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main_block_step_1,
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main_block_step_2,
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init_btn,
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run_sim_btn])
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with gr.Row(elem_id="reset_block", visible=True) as reset_block:
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reset_btn = gr.Button("Reset")
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reset_btn.click(reset_app, inputs=[], outputs=[progress_output,
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log_output,
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api_key,
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topic,
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with_images,
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image_params,
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main_block_step_1,
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main_block_step_2,
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simulation_output_box,
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run_sim_btn,
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init_btn])
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with gr.Column(elem_id = "user_consent_container") as user_consent_block:
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accept_checkbox = gr.Checkbox(visible=False)
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