Update app.py

app.py

@@ -1,3 +1,48 @@
 import gradio as gr
+from gradio.mix import Series
+from transformers import pipeline
 
-gr.Interface.load("huggingface/EleutherAI/gpt-neo-1.3B").launch()
+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."],
+]
+
+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)
+
+demo = gr.TabbedInterface([generator1, generator2, generator3, generator4, generator5], 
+                          ["GPT-Neo-1.3B", "Bloom-560M", "GPT-Neo-125M", "Distil GPT2 Finetuned", "GPT-NEO-125M Finetuned"])
+
+if __name__ == "__main__":
+    demo.launch()