app.py

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()