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README.md

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+---
+title: New Space
+emoji: 😻
+colorFrom: yellow
+colorTo: purple
+sdk: gradio
+sdk_version: 5.41.1
+app_file: app.py
+pinned: false
+short_description: vidposter
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# This is a Gradio app that automates the creation of videos from text, images, or PDF files and posts them to social media accounts.
+import gradio as gr
+import numpy as np
+import pandas as pd
+
+# Function to create a video from text
+def create_video_from_text(text):
+    # Placeholder function to simulate video creation from text
+    return "video_from_text.mp4"
+
+# Function to create a video from images
+def create_video_from_images(images):
+    # Placeholder function to simulate video creation from images
+    return "video_from_images.mp4"
+
+# Function to create a video from a PDF file
+def create_video_from_pdf(pdf_file):
+    # Placeholder function to simulate video creation from a PDF file
+    return "video_from_pdf.mp4"
+
+# Function to post a video to social media
+def post_to_social_media(video, platform):
+    # Placeholder function to simulate posting to social media
+    return f"Posted {video} to {platform}"
+
+# Main function to handle the entire process
+def process_input(input_type, input_data, platform):
+    if input_type == "text":
+        video = create_video_from_text(input_data)
+    elif input_type == "images":
+        video = create_video_from_images(input_data)
+    elif input_type == "pdf":
+        video = create_video_from_pdf(input_data)
+    else:
+        return "Invalid input type"
+    
+    post_result = post_to_social_media(video, platform)
+    return post_result
+
+# Create the Gradio interface with a high contrast neon noir style
+with gr.Blocks(css="body { background-color: #000; color: #0f0; } .gr-button { background-color: #f00; color: #000; } .gr-input { background-color: #000; color: #0f0; }") as demo:
+    gr.Markdown("# Social Media Automation App")
+    
+    with gr.Row():
+        input_type = gr.Radio(["text", "images", "pdf"], label="Input Type")
+    
+    with gr.Row():
+        text_input = gr.Textbox(label="Text Input", visible=False)
+        images_input = gr.File(label="Images Input", file_types=["image/*"], visible=False)
+        pdf_input = gr.File(label="PDF Input", file_types=["application/pdf"], visible=False)
+    
+    with gr.Row():
+        platform = gr.Radio(["Facebook", "Twitter", "Instagram"], label="Social Media Platform")
+    
+    with gr.Row():
+        submit_button = gr.Button("Submit")
+    
+    output = gr.Textbox(label="Output")
+    
+    # Function to update the visibility of input fields based on the selected input type
+    def update_input_visibility(input_type):
+        if input_type == "text":
+            return gr.Textbox.update(visible=True), gr.File.update(visible=False), gr.File.update(visible=False)
+        elif input_type == "images":
+            return gr.Textbox.update(visible=False), gr.File.update(visible=True), gr.File.update(visible=False)
+        elif input_type == "pdf":
+            return gr.Textbox.update(visible=False), gr.File.update(visible=False), gr.File.update(visible=True)
+    
+    input_type.change(fn=update_input_visibility, inputs=input_type, outputs=[text_input, images_input, pdf_input])
+    
+    submit_button.click(fn=process_input, inputs=[input_type, text_input, images_input, pdf_input, platform], outputs=output)
+
+if __name__ == "__main__":
+    demo.launch(show_error=True)

requirements.txt

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+numpy
+pandas