revise to demanded app.py

app.py

@@ -1,7 +1,38 @@
 import gradio as gr
+from utils import *
+import openai
 
-def greet(name):
-    return "Hello " + name + "!!"
+def greet(task, human_input, cooperate_style):
+    merged_answer = "xxx"
+    return f"Given task :{task},\nthe {cooperate_style} answer based of ai and human input \"{human_input}\" is:\n {merged_answer}. "
+
+def get_answer(task, human_input, cooperate_style):
+    if cooperate_style=="sequential":
+            merged_text = merge_texts_sequential(task, human_input)
+            print(f"AI merged text: {merged_text}")
+    else:
+        generated_text = generate_text_with_gpt(task)
+        print(f"AI provided text: {generated_text}")    
+        merged_text = merge_texts_parallel(task, human_input, generated_text)
+    return merged_text
+
+with gr.Blocks() as demo:
+    task = gr.Textbox(label="Please Give a task description.")
+    human_input = gr.Textbox(label="Please provide a human answer.", value = "Write a poem about the moon.")
+    cooperate_style = gr.Radio(['sequential', 'parallel'], label="What type of cooperation would you like?")
+    greet_btn = gr.Button("Think!")
+    output = gr.Textbox(label="Answer with cooperation")
+    
+    greet_btn.click(fn=get_answer, 
+                    inputs=[task, human_input, cooperate_style], 
+                    outputs=output, 
+                    api_name="answer")
+    
+    evaluate_btn = gr.Button("Evaluate")
+    evaluation_results = gr.Textbox(label="Evaluation results.")
+    evaluate_btn.click(fn= evaluation,
+                        inputs=[task, output],
+                        outputs= evaluation_results,
+                        api_name = "evaluate")
+    demo.launch(share=True)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()