Added AI model integration

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your AI model
+# Replace 'model_name' with the name of your chosen model from Hugging Face
+model_name = "EleutherAI/gpt-neo-1.3B"  # Example: GPT-Neo 1.3B
+generator = pipeline('text-generation', model=model_name)
+
+# Define a function to generate text
+def generate_text(prompt):
+    # Generate text using the model
+    output = generator(prompt, max_length=50, num_return_sequences=1)
+    return output[0]['generated_text']
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_text,  # Function to call
+    inputs="text",     # Input type (text box)
+    outputs="text",    # Output type (text box)
+    title="Text Generation with GPT-Neo",  # Title of the interface
+    description="Enter a prompt and let the AI generate text for you!"
+)
+
+# Launch the interface
+iface.launch()

requirements.txt

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+gradio
+openai
+transformers
+torch