Create app.py

app.py

@@ -0,0 +1,47 @@
+import gradio as gr
+import os
+
+demo = gr.Blocks()
+
+#'spaces/Gradio-Blocks/Codex_OpenAI' did not work due to paramerts error 
+#'huggingface/facebook/incoder-6B' inference error
+#huggingface/Salesforce/codegen-2B-mono 500 Error 
+
+name_list = [
+    'gpt2',
+    'lm-human-preference-details/train_policy_accelerate_tf_adam_gpt2_xl_grad_accu__sentiment_offline_5k.json__seed2',
+    'lm-human-preference-details/train_policy_accelerate_tf_adam_gpt2_xl_grad_accu__descriptiveness_offline_5k.json__seed1',
+]
+
+
+interfaces = [gr.load(f"models/{name}") for name in name_list]
+def generate_code_os(text):
+    return [interface(text) for interface in interfaces]
+
+
+def set_example(example: list) -> dict:
+    return gr.Textbox.update(value=example[0]) 
+    
+with gr.Blocks() as demo:
+    gr.Markdown("Compare RLHF Stylistic Models")
+    with gr.Box():
+        with gr.Row():
+            with gr.Column():
+                input_text = gr.Textbox(label = "Write your prompt here", lines=4)
+                with gr.Row():
+                    btn = gr.Button("Generate")
+                
+                # example_text = gr.Dataset(components=[input_text], samples=examples)
+                # example_text.click(fn=set_example,
+                #                 inputs = example_text,
+                #                 outputs= example_text)    
+                gr.Examples(
+                    [["The young maid said"], ["The table has arrived at the house"]],
+                    [input_text],
+                )
+            with gr.Column():   
+                with gr.Column():       
+                    btn.click(generate_code_os, inputs = input_text, outputs = [gr.Textbox(label=name_list[_], lines=4) for _ in range(len(name_list))])
+
+
+demo.launch(enable_queue=True,debug=True)