Update app.py

app.py

@@ -2,49 +2,6 @@ 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"