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app.py

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+import gradio as gr
+import random
+import time
+from PIL import Image
+import numpy as np
+import io
+import base64
+
+# Mock implementations for demonstration
+def generate_text(prompt, style="creative", length="medium"):
+    """Generate text based on prompt and style"""
+    styles = {
+        "creative": ["Once upon a time", "In a world where", "Imagine a place where"],
+        "formal": ["According to research", "Studies show that", "It is widely accepted that"],
+        "casual": ["Hey there!", "Did you know", "Check this out"]
+    }
+    
+    lengths = {
+        "short": 50,
+        "medium": 150,
+        "long": 300
+    }
+    
+    opening = styles.get(style, styles["creative"])[0]
+    target_length = lengths.get(length, lengths["medium"])
+    
+    # Simple mock text generation
+    text = f"{opening} {prompt}. "
+    while len(text) < target_length:
+        text += f"This is an amazing example of {style} writing. "
+    
+    return text[:target_length] + "..."
+
+def generate_image(prompt, style="realistic"):
+    """Generate a mock image based on prompt"""
+    # Create a simple colored image as placeholder
+    width, height = 512, 512
+    
+    # Generate different colors based on prompt hash
+    seed = hash(prompt) % (256**3)
+    r = (seed // 256**2) % 256
+    g = (seed // 256) % 256
+    b = seed % 256
+    
+    # Create gradient effect
+    image = Image.new('RGB', (width, height))
+    pixels = []
+    for y in range(height):
+        for x in range(width):
+            # Create gradient
+            factor = (x + y) / (width + height)
+            pixel_r = int(r * (1 - factor) + 255 * factor)
+            pixel_g = int(g * (1 - factor) + 255 * factor)
+            pixel_b = int(b * (1 - factor) + 255 * factor)
+            pixels.append((pixel_r, pixel_g, pixel_b))
+    
+    image.putdata(pixels)
+    
+    # Add text overlay (simple representation)
+    return image
+
+def generate_audio(prompt, voice="neutral", duration="medium"):
+    """Generate mock audio based on prompt"""
+    # This is a placeholder - in real implementation, you'd use TTS
+    durations_ms = {
+        "short": 2000,
+        "medium": 5000,
+        "long": 10000
+    }
+    
+    duration = durations_ms.get(duration, durations_ms["medium"])
+    
+    # Generate a simple sine wave as placeholder audio
+    sample_rate = 22050
+    t = np.linspace(0, duration/1000, int(sample_rate * duration/1000))
+    
+    # Create different frequencies based on prompt
+    freq = 440 + (hash(prompt) % 440)
+    audio_data = np.sin(2 * np.pi * freq * t) * 0.3
+    
+    # Add some variation
+    audio_data += np.sin(2 * np.pi * freq * 1.5 * t) * 0.1
+    
+    return (sample_rate, audio_data.astype(np.float32))
+
+def generate_multimodal_content(prompt, text_style="creative", image_style="realistic", voice="neutral"):
+    """Generate all three modalities and combine them"""
+    with gr.Progress() as progress:
+        progress(0.1, desc="Generating text...")
+        time.sleep(0.5)
+        text_output = generate_text(prompt, text_style)
+        
+        progress(0.4, desc="Generating image...")
+        time.sleep(0.8)
+        image_output = generate_image(prompt, image_style)
+        
+        progress(0.7, desc="Generating audio...")
+        time.sleep(0.6)
+        audio_output = generate_audio(prompt, voice)
+        
+        progress(1.0, desc="Complete!")
+        
+        return text_output, image_output, audio_output
+
+# Create the Gradio interface
+with gr.Blocks(title="Multi-Modal Content Generator", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🎨 Multi-Modal Content Generator")
+    gr.Markdown("Generate text, images, and audio from a single prompt using AI!")
+    
+    with gr.Tabs():
+        # Text Generation Tab
+        with gr.TabItem("📝 Text Generation"):
+            with gr.Row():
+                with gr.Column():
+                    text_prompt = gr.Textbox(label="Enter your prompt", placeholder="Describe what you want to generate...")
+                    text_style = gr.Dropdown(
+                        choices=["creative", "formal", "casual"],
+                        value="creative",
+                        label="Writing Style"
+                    )
+                    text_length = gr.Dropdown(
+                        choices=["short", "medium", "long"],
+                        value="medium",
+                        label="Text Length"
+                    )
+                    text_btn = gr.Button("Generate Text", variant="primary")
+                
+                with gr.Column():
+                    text_output = gr.Textbox(
+                        label="Generated Text",
+                        lines=10,
+                        placeholder="Your generated text will appear here..."
+                    )
+            
+            text_btn.click(
+                generate_text,
+                inputs=[text_prompt, text_style, text_length],
+                outputs=text_output
+            )
+        
+        # Image Generation Tab
+        with gr.TabItem("🖼️ Image Generation"):
+            with gr.Row():
+                with gr.Column():
+                    image_prompt = gr.Textbox(label="Enter your prompt", placeholder="Describe the image you want to generate...")
+                    image_style = gr.Dropdown(
+                        choices=["realistic", "artistic", "cartoon", "abstract"],
+                        value="realistic",
+                        label="Image Style"
+                    )
+                    image_btn = gr.Button("Generate Image", variant="primary")
+                
+                with gr.Column():
+                    image_output = gr.Image(label="Generated Image", type="pil")
+            
+            image_btn.click(
+                generate_image,
+                inputs=[image_prompt, image_style],
+                outputs=image_output
+            )
+        
+        # Audio Generation Tab
+        with gr.TabItem("🎵 Audio Generation"):
+            with gr.Row():
+                with gr.Column():
+                    audio_prompt = gr.Textbox(label="Enter your prompt", placeholder="Describe what you want to convert to audio...")
+                    voice = gr.Dropdown(
+                        choices=["neutral", "cheerful", "serious", "dramatic"],
+                        value="neutral",
+                        label="Voice Type"
+                    )
+                    duration = gr.Dropdown(
+                        choices=["short", "medium", "long"],
+                        value="medium",
+                        label="Audio Duration"
+                    )
+                    audio_btn = gr.Button("Generate Audio", variant="primary")
+                
+                with gr.Column():
+                    audio_output = gr.Audio(label="Generated Audio")
+            
+            audio_btn.click(
+                generate_audio,
+                inputs=[audio_prompt, voice, duration],
+                outputs=audio_output
+            )
+        
+        # Multi-Modal Tab
+        with gr.TabItem("🚀 Multi-Modal Generation"):
+            gr.Markdown("### Generate all three modalities at once!")
+            
+            with gr.Row():
+                with gr.Column():
+                    multi_prompt = gr.Textbox(
+                        label="Enter your prompt",
+                        placeholder="Describe what you want to generate in all formats...",
+                        lines=3
+                    )
+                    with gr.Row():
+                        multi_text_style = gr.Dropdown(
+                            choices=["creative", "formal", "casual"],
+                            value="creative",
+                            label="Text Style"
+                        )
+                        multi_image_style = gr.Dropdown(
+                            choices=["realistic", "artistic", "cartoon", "abstract"],
+                            value="realistic",
+                            label="Image Style"
+                        )
+                        multi_voice = gr.Dropdown(
+                            choices=["neutral", "cheerful", "serious", "dramatic"],
+                            value="neutral",
+                            label="Voice Type"
+                        )
+                    
+                    multi_btn = gr.Button("Generate All Modalities", variant="primary", size="lg")
+                
+                with gr.Column():
+                    multi_text_output = gr.Textbox(
+                        label="Generated Text",
+                        lines=5,
+                        placeholder="Text will appear here..."
+                    )
+                    multi_image_output = gr.Image(label="Generated Image", type="pil")
+                    multi_audio_output = gr.Audio(label="Generated Audio")
+            
+            multi_btn.click(
+                generate_multimodal_content,
+                inputs=[multi_prompt, multi_text_style, multi_image_style, multi_voice],
+                outputs=[multi_text_output, multi_image_output, multi_audio_output]
+            )
+    
+    # Examples section
+    gr.Markdown("## 💡 Example Prompts")
+    examples = [
+        "A serene mountain landscape at sunset",
+        "A futuristic city with flying cars",
+        "A cozy coffee shop on a rainy day",
+        "An underwater adventure with colorful fish",
+        "A magical forest with glowing mushrooms"
+    ]
+    
+    with gr.Row():
+        for example in examples:
+            gr.Button(example, size="sm").click(
+                lambda x=x: x,
+                outputs=[text_prompt, image_prompt, audio_prompt, multi_prompt]
+            )
+    
+    gr.Markdown("---")
+    gr.Markdown("🤖 **Powered by Combined AI** | Built with Gradio")
+
+if __name__ == "__main__":
+    demo.launch()