Update app.py

app.py

@@ -1,45 +1,10 @@
-from gpt_index import GPTSimpleVectorIndex
-from langchain import OpenAI
 import gradio as gr
-import sys
-import os
-import datetime
 
-os.environ["OPENAI_API_KEY"] = os.environ['SECRET_CODE']
 
+def greet(name):
+    return "Hello " + name
 
-def get_index(index_file_path):
-    if os.path.exists(index_file_path):
-        return GPTSimpleVectorIndex.load_from_disk(index_file_path)
-    else:
-        print(f"Error: '{index_file_path}' does not exist.")
-        sys.exit()
 
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 
-def chatbot(input_text, mentioned_person='Mediator John Haynes'):
-    index = get_index('index.json')
-    prompt = f"You are {mentioned_person}: {input_text}\n\n At the end of your answer  ask a provocative question."
-    response = index.query(prompt, response_mode="compact")
-
-    # Save chat log
-    current_time = datetime.datetime.now()
-    current_time_str = current_time.strftime("%Y-%m-%d_%H-%M-%S")
-    chat_log_filename = "chathistory.txt"
-    chat_log_filepath = os.path.join('chathistory', chat_log_filename)
-    with open(chat_log_filepath, "a") as f:
-        f.write(f"Chat at {current_time_str}\n")
-        f.write(f"User: {input_text}\n")
-        f.write(f"Chatbot: {response.response}\n\n")
-    
-    return response.response
-
-print('hello there!!!')
-
-iface = gr.Interface(fn=chatbot, 
-                     inputs=gr.inputs.Textbox("Enter your question"), 
-                     outputs="text",
-                     title="AI Chatbot trained on J. Haynes mediation material, v0.1",
-                     description="test")
-iface.launch()
-
-print('hello there222!!!')
+demo.launch()