Update app.py

app.py

@@ -1,44 +1,10 @@
+#import libraries and dependencies
 import gradio as gr
-from gradio.mix import Series 
-from transformers import pipeline
+from gradio.mix import Parallel
 
-description = "Select from a language model tab. Input text and submit."
-examples = [
-    ["Zoe Kwan is a 20-year old singer and songwriter who has taken Hong Kong’s music scene by storm."],
-    ["Zoe only recently began writing songs."],
-]
+#instantiate variables as functions
+model1 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
+model2 = gr.Interface.load("huggingface/google/flan-t5-xl")
+model3 = gr.Interface.load("huggingface/Wootang01/distilgpt2-finetuned-prayerjournals")
 
-model1 = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B')
-model2 = pipeline('text-generation', model='bigscience/bloom-560m')
-model3 = pipeline('text-generation', model='EleutherAI/gpt-neo-125M')
-model4 = pipeline('text-generation', model='Wootang01/distilgpt2-finetuned-hkdse-english-paper4')
-model5 = pipeline('text-generation', model='Wootang01/gpt-neo-125M-finetuned-hkdse-english-paper4')
-
-def generate1(text):
-    result = model1(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
-def generate2(text):
-    result = model2(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
-def generate3(text):
-    result = model3(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
-def generate4(text):
-    result = model4(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
-def generate5(text):
-    result = model5(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
-
-generator1 = gr.Interface(fn=model1, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    examples=examples)
-generator2 = gr.Interface(fn=model2, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    examples=examples)
-generator3 = gr.Interface(fn=model3, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    examples=examples)
-generator4 = gr.Interface(fn=model4, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    examples=examples)
-generator5 = gr.Interface(fn=model5, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    examples=examples)
-
-gr.Parallel(generator1,generator2,generator3).launch()
+gr.Parallel(model, model2, model3).launch()