Add application file

app.py

@@ -0,0 +1,89 @@
+import gradio as gr
+from transformers import pipeline
+import torch
+
+# Initialize the model
+# Using a lightweight text generation model for this example
+model_name = "distilgpt2"  # You can change this to any model
+generator = pipeline('text-generation', model=model_name, device=0 if torch.cuda.is_available() else -1)
+
+def generate_text(prompt, max_length=100, temperature=0.7):
+    """
+    Generate text based on the input prompt
+    
+    Args:
+        prompt: Input text prompt
+        max_length: Maximum length of generated text
+        temperature: Controls randomness (higher = more random)
+    
+    Returns:
+        Generated text
+    """
+    try:
+        result = generator(
+            prompt,
+            max_length=max_length,
+            temperature=temperature,
+            num_return_sequences=1,
+            pad_token_id=generator.tokenizer.eos_token_id
+        )
+        return result[0]['generated_text']
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create Gradio interface
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🤖 Generative AI Text Generator")
+    gr.Markdown("Generate creative text using AI. Enter a prompt and adjust parameters.")
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            prompt_input = gr.Textbox(
+                label="Enter your prompt",
+                placeholder="Once upon a time...",
+                lines=3
+            )
+            
+            with gr.Row():
+                max_length_slider = gr.Slider(
+                    minimum=20,
+                    maximum=200,
+                    value=100,
+                    step=10,
+                    label="Max Length"
+                )
+                temperature_slider = gr.Slider(
+                    minimum=0.1,
+                    maximum=1.5,
+                    value=0.7,
+                    step=0.1,
+                    label="Temperature"
+                )
+            
+            generate_btn = gr.Button("Generate Text", variant="primary")
+        
+        with gr.Column(scale=2):
+            output_text = gr.Textbox(
+                label="Generated Text",
+                lines=10,
+                interactive=False
+            )
+    
+    # Examples
+    gr.Examples(
+        examples=[
+            ["In a world where AI and humans coexist,"],
+            ["The future of technology will be"],
+            ["Once upon a time in a digital realm,"]
+        ],
+        inputs=prompt_input
+    )
+    
+    generate_btn.click(
+        fn=generate_text,
+        inputs=[prompt_input, max_length_slider, temperature_slider],
+        outputs=output_text
+    )
+
+if __name__ == "__main__":
+    demo.launch()