Upload customized_final_app.py

customized_final_app.py

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+# -*- coding: utf-8 -*-
+"""customized_final_app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1EsQl5_gVT9N3YJfSlPMm2A2m9kGYTGXn
+"""
+
+!pip install gradio
+
+from transformers import pipeline, set_seed, GenerationConfig, AutoModelForCausalLM
+import gradio as gr
+import torch
+
+gpt2_generator = pipeline('text-generation', model='gpt2')
+tinyllama_generator = pipeline('text-generation', model='as-cle-bert/tinyllama-essay-scorer')
+
+def load_model(model_name):
+    global generator
+    generator = pipeline('text-generation', model=model_name, trust_remote_code=True)
+
+def generate_text(model, prompt, temperature, max_length, top_p):
+    if temperature == 0:
+        do_sample = False
+    else:
+        do_sample = True
+
+    load_model(model)
+
+    response = generator(prompt, max_length=max_length, do_sample=do_sample, temperature=temperature, top_p=top_p)[0]["generated_text"]
+    return response
+
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.components.Dropdown(label="Choose a Model", choices=['gpt2', 'as-cle-bert/tinyllama-essay-scorer'], value='gpt2', info="Select the model for generating text."),
+        gr.components.Dropdown(label="Prompt", choices=['Write a tagline for an ice cream shop', 'Write a poem about spring', 'Write an introduction to the University of Zurich'], value='Write a tagline for an ice cream shop'),
+        gr.components.Slider(minimum=0, maximum=2, step=0.01, value = 1, label="Temperature", info = "(For τ = 1, the distribution is unchanged;For τ > 1, the distribution becomes more uniform; For τ < 1, the distribution becomes more peaked.)"),
+        gr.components.Slider(minimum=1, maximum=256, step=1, value = 16, label="Max Length", info ="(Maximum length is the maximum limit of the generated text.)"),
+        gr.components.Slider(minimum=0, maximum=1, step=0.01, value=1, label="Top-p", info="(Top-p sampling is to keep the top p percent of the probability mass.)")
+    ],
+    outputs=[gr.Textbox(label="Output", lines=3, placeholder = "Hello, World!")],
+    title="Text Generation Control Panel",
+    description="Adjust the settings to control the text generation parameters."
+)
+
+
+interface.launch(share=True)