qqwjq1981 commited on
Commit
ffcb48f
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1 Parent(s): 35e86e9

Update app.py

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Files changed (1) hide show
  1. app.py +40 -41
app.py CHANGED
@@ -145,7 +145,7 @@ def mock_analytics():
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  }
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  # Core functionalities
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- def upload_and_manage(file, platform, language):
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  if file is None:
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  return "Please upload a video/audio file.", None, None, None
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@@ -163,54 +163,53 @@ def upload_and_manage(file, platform, language):
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  add_transcript_to_video(file.name, translated_json, output_video_path)
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  # Mock posting action (you can implement this as needed)
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- post_message = mock_post_to_platform(platform, file.name)
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- return post_message, transcrption_json, translated_json, output_video_path
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- def generate_dashboard():
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- # Mock analytics generation
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- analytics = mock_analytics()
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- if not analytics:
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- return "No analytics available."
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- dashboard = "Platform Analytics:\n"
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- for platform, data in analytics.items():
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- dashboard += f"\n{platform}:\n"
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- for metric, value in data.items():
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- dashboard += f" {metric}: {value}\n"
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- return dashboard
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- # Gradio Interface with Tabs
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  # Gradio Interface with Tabs
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  def build_interface():
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  with gr.Blocks() as demo:
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- with gr.Tab("Content Management"):
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- gr.Markdown("## Integrated Content Management")
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- with gr.Row():
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- file_input = gr.File(label="Upload Video/Audio File")
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- platform_input = gr.Dropdown(["YouTube", "Instagram"], label="Select Platform")
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- language_input = gr.Dropdown(["en", "es", "fr", "zh"], label="Select Language") # Language codes
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-
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- submit_button = gr.Button("Post and Process")
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- with gr.Row():
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- post_output = gr.Textbox(label="Posting Status", interactive=False)
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- transcription_output = gr.JSON(label="Transcription JSON File")
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- translated_output = gr.JSON(label="Translated JSON File")
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- with gr.Row():
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- processed_video_output = gr.File(label="Download Processed Video", interactive=False) # Download button
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- submit_button.click(
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- upload_and_manage,
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- inputs=[file_input, platform_input, language_input],
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- outputs=[post_output, transcription_output, translated_output, processed_video_output]
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- )
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-
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- with gr.Tab("Analytics Dashboard"):
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- gr.Markdown("## Content Performance Analytics")
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- analytics_output = gr.Textbox(label="Dashboard", interactive=False)
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- generate_dashboard_button = gr.Button("Generate Dashboard")
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-
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- generate_dashboard_button.click(generate_dashboard, outputs=[analytics_output])
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  return demo
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  }
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  # Core functionalities
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+ def upload_and_manage(file, language):
149
  if file is None:
150
  return "Please upload a video/audio file.", None, None, None
151
 
 
163
  add_transcript_to_video(file.name, translated_json, output_video_path)
164
 
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  # Mock posting action (you can implement this as needed)
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+ # post_message = mock_post_to_platform(platform, file.name)
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+ return transcrption_json, translated_json, output_video_path
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+ # def generate_dashboard():
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+ # # Mock analytics generation
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+ # analytics = mock_analytics()
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+ # if not analytics:
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+ # return "No analytics available."
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+ # dashboard = "Platform Analytics:\n"
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+ # for platform, data in analytics.items():
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+ # dashboard += f"\n{platform}:\n"
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+ # for metric, value in data.items():
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+ # dashboard += f" {metric}: {value}\n"
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+ # return dashboard
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  # Gradio Interface with Tabs
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  def build_interface():
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  with gr.Blocks() as demo:
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+ # with gr.Tab("Content Management"):
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+ gr.Markdown("## Video Localization")
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+ with gr.Row():
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+ file_input = gr.File(label="Upload Video/Audio File")
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+ # platform_input = gr.Dropdown(["YouTube", "Instagram"], label="Select Platform")
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+ language_input = gr.Dropdown(["en", "es", "fr", "zh"], label="Select Language") # Language codes
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+
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+ submit_button = gr.Button("Post and Process")
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+ with gr.Row():
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+ # post_output = gr.Textbox(label="Posting Status", interactive=False)
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+ transcription_output = gr.JSON(label="Transcription JSON File")
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+ translated_output = gr.JSON(label="Translated JSON File")
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+ with gr.Row():
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+ processed_video_output = gr.File(label="Download Processed Video", interactive=False) # Download button
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+ submit_button.click(
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+ upload_and_manage,
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+ inputs=[file_input, language_input],
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+ outputs=[transcription_output, translated_output, processed_video_output]
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+ )
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+
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+ # with gr.Tab("Analytics Dashboard"):
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+ # gr.Markdown("## Content Performance Analytics")
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+ # analytics_output = gr.Textbox(label="Dashboard", interactive=False)
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+ # generate_dashboard_button = gr.Button("Generate Dashboard")
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+
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+ # generate_dashboard_button.click(generate_dashboard, outputs=[analytics_output])
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  return demo
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