Update app.py

app.py

@@ -2,6 +2,49 @@ import gradio as gr
 from sentence_transformers import SentenceTransformer, util
 import openai
 import os
+from transformers import pipline
+
+generator = pipeline('text-generation', model='gpt2')
+def generate_text(prompt):
+    outputs = generator(prompt, max_length=100, num_return_sequences=1)
+    return outputs[0]['generated_text']
+interface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Text Generator", description="Generate text using a pre-trained GPT-2 model.")
+interface.launch()
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
+    outputs="text",
+    title="GPT-2 Text Generator",
+    description="Generate text using the GPT-2 model from Hugging Face.",
+    theme="compact"
+)
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+)
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+    css=".output-textbox { border: 2px solid blue; }"
+)
+generator = pipeline('text-generation', model='gpt2')
+
+def generate_text(prompt):
+    outputs = generator(prompt, max_length=50, num_return_sequences=1)
+    return outputs[0]['generated_text']
+
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+    title="GPT-2 Text Generator",
+    description="Generate text using the GPT-2 model from Hugging Face."
+)
+
+if __name__ == "__main__":
+    interface.launch()
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"