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import gradio as gr
from datetime import datetime
import random
# Mock functions for platform actions and analytics
def mock_post_to_platform(platform, content_title):
return f"Content '{content_title}' successfully posted on {platform}!"
def mock_analytics():
return {
"YouTube": {"Views": random.randint(1000, 5000), "Engagement Rate": f"{random.uniform(5, 15):.2f}%"},
"Instagram": {"Views": random.randint(500, 3000), "Engagement Rate": f"{random.uniform(10, 20):.2f}%"},
}
# Core functionalities
def upload_and_manage(file, platform, language):
if file is None:
return "Please upload a video/audio file.", None, None, None
# Mock transcription and translation process
transcription = "This is a sample transcription of the uploaded content."
translation = f"[{language}] This is a sample translation of the content."
# Mock posting action
post_message = mock_post_to_platform(platform, file.name)
# Mock analytics generation
analytics = mock_analytics()
return post_message, transcription, translation, analytics
def generate_dashboard(analytics):
if not analytics:
return "No analytics available."
dashboard = "Platform Analytics:\n"
for platform, data in analytics.items():
dashboard += f"\n{platform}:\n"
for metric, value in data.items():
dashboard += f" {metric}: {value}\n"
return dashboard
# Gradio Interface with Tabs
def build_interface():
with gr.Blocks() as demo:
with gr.Tab("Content Management"):
gr.Markdown("## Integrated Content Management")
with gr.Row():
file_input = gr.File(label="Upload Video/Audio File")
platform_input = gr.Dropdown(["YouTube", "Instagram"], label="Select Platform")
language_input = gr.Dropdown(["English", "Spanish", "French", "Chinese"], label="Select Language")
submit_button = gr.Button("Post and Process")
with gr.Row():
post_output = gr.Textbox(label="Posting Status", interactive=False)
transcription_output = gr.Textbox(label="Transcription", interactive=False)
translation_output = gr.Textbox(label="Translation", interactive=False)
submit_button.click(upload_and_manage,
inputs=[file_input, platform_input, language_input],
outputs=[post_output, transcription_output, translation_output, gr.State()])
with gr.Tab("Analytics Dashboard"):
gr.Markdown("## Content Performance Analytics")
analytics_output = gr.Textbox(label="Dashboard", interactive=False)
generate_dashboard_button = gr.Button("Generate Dashboard")
generate_dashboard_button.click(generate_dashboard, inputs=[gr.State()], outputs=[analytics_output])
return demo
demo = build_interface()
demo.launch()
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