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katsukiai commited on
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5eafbe3
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1 Parent(s): cb1aafa

Update app.py

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  1. app.py +55 -10
app.py CHANGED
@@ -6,6 +6,7 @@ from tqdm import tqdm
6
  import gradio as gr
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  from transformers import pipeline
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  from huggingface_hub import HfApi, upload_file, HfFolder
 
9
 
10
  # Setup Logging
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  logging.basicConfig(filename='app.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
@@ -16,7 +17,7 @@ nltk.download('all')
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  # Constants
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  HF_REPO = "katsukiai/DeepFocus-X3"
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  TOKENIZER = 'bert-base-uncased'
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- MODELS = ["bert-base-uncased", "gpt2", "roberta-base", "distilbert-base-uncased", "albert-base-v2"] # Add more models as needed
20
 
21
  # Initialize Models
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  models = {model: pipeline('feature-extraction', model=model) for model in MODELS}
@@ -59,6 +60,10 @@ def generate_report():
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  log_content = log_file.read()
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  return log_content
61
 
 
 
 
 
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  # Gradio Interface
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  def generate_all(text):
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  data = process_text(text)
@@ -67,25 +72,65 @@ def generate_all(text):
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68
  # Custom CSS for Tailwind CSS
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  custom_css = """
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- <head>
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- <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/tailwind.min.css" rel="stylesheet">
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- </head>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """
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  with gr.Blocks(css=custom_css) as iface:
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- gr.Markdown("# DeepFocus-X3")
 
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  with gr.Tab("Generate All"):
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  with gr.Row():
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- input_text = gr.Textbox(label="Input Text", placeholder="Enter your text here...", container=False)
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- output_text = gr.Textbox(label="Output", placeholder="Output will appear here...", container=False)
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- generate_button = gr.Button("Generate")
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  generate_button.click(fn=generate_all, inputs=input_text, outputs=output_text)
83
 
84
  with gr.Tab("Logs"):
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  with gr.Row():
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- log_output = gr.Textbox(label="Logs", placeholder="Logs will appear here...", container=False)
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- report_button = gr.Button("Report using Logs", container=False)
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  report_button.click(fn=generate_report, outputs=log_output)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
89
 
90
  # Run and Push to HuggingFace
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  def run_and_push():
 
6
  import gradio as gr
7
  from transformers import pipeline
8
  from huggingface_hub import HfApi, upload_file, HfFolder
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+ import time
10
 
11
  # Setup Logging
12
  logging.basicConfig(filename='app.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
17
  # Constants
18
  HF_REPO = "katsukiai/DeepFocus-X3"
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  TOKENIZER = 'bert-base-uncased'
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+ MODELS = ["bert-base-uncased", "gpt2", "roberta-base", "distilbert-base-uncased", "albert-v2"] # Add more models as needed
21
 
22
  # Initialize Models
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  models = {model: pipeline('feature-extraction', model=model) for model in MODELS}
 
60
  log_content = log_file.read()
61
  return log_content
62
 
63
+ def get_uptime():
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+ uptime = time.strftime('%H:%M:%S', time.gmtime(time.time() - start_time))
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+ return f"Uptime: {uptime}"
66
+
67
  # Gradio Interface
68
  def generate_all(text):
69
  data = process_text(text)
 
72
 
73
  # Custom CSS for Tailwind CSS
74
  custom_css = """
75
+ <style>
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+ @import url('https://cdn.jsdelivr.net/npm/[email protected]/dist/tailwind.min.css');
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+ body {
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+ font-family: 'Arial', sans-serif;
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+ }
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+ #title {
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+ text-align: center;
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+ margin-bottom: 20px;
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+ }
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+ #input_text, #output_text, #log_output {
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+ width: 100%;
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+ max-width: 600px;
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+ margin: 10px 0;
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+ }
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+ #generate_button, #report_button, #save_settings_button {
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+ width: 100%;
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+ max-width: 200px;
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+ margin: 10px 0;
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+ }
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+ #settings_container {
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+ margin-top: 20px;
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+ }
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+ </style>
98
  """
99
 
100
+ start_time = time.time()
101
+
102
  with gr.Blocks(css=custom_css) as iface:
103
+ gr.Markdown("# DeepFocus-X3", elem_id="title")
104
+
105
  with gr.Tab("Generate All"):
106
  with gr.Row():
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+ input_text = gr.Textbox(label="Input Text", placeholder="Enter your text here...", elem_id="input_text")
108
+ output_text = gr.Textbox(label="Output", placeholder="Output will appear here...", elem_id="output_text")
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+ generate_button = gr.Button("Generate", elem_id="generate_button")
110
  generate_button.click(fn=generate_all, inputs=input_text, outputs=output_text)
111
 
112
  with gr.Tab("Logs"):
113
  with gr.Row():
114
+ log_output = gr.Textbox(label="Logs", placeholder="Logs will appear here...", elem_id="log_output")
115
+ report_button = gr.Button("Report using Logs", elem_id="report_button")
116
  report_button.click(fn=generate_report, outputs=log_output)
117
+
118
+ with gr.Tab("Settings"):
119
+ with gr.Row():
120
+ commit_input = gr.Textbox(label="Commit", placeholder="Enter commit message", elem_id="commit_input")
121
+ username_input = gr.Textbox(label="Username", placeholder="Enter your username", elem_id="username_input")
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+ metadata_input = gr.Textbox(label="Metadata", placeholder="Enter metadata", elem_id="metadata_input")
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+ uptime_text = gr.Textbox(label="Uptime", placeholder="Uptime will appear here...", elem_id="uptime_text", interactive=False)
124
+ save_settings_button = gr.Button("Save Settings", elem_id="save_settings_button")
125
+
126
+ save_settings_button.click(
127
+ fn=lambda commit, username, metadata: f"Settings saved: {commit}, {username}, {metadata}",
128
+ inputs=[commit_input, username_input, metadata_input],
129
+ outputs=[uptime_text] # Reusing uptime_text for output to show settings saved message
130
+ )
131
+
132
+ # Update uptime every 10 seconds
133
+ iface.set_event_handler("load", lambda: uptime_text.update(get_uptime()), every=10)
134
 
135
  # Run and Push to HuggingFace
136
  def run_and_push():