Update app.py

app.py

@@ -2,15 +2,11 @@ import gradio as gr
 import os 
 import json 
 import requests
-
  
 API_URL = "https://api.openai.com/v1/chat/completions" #os.getenv("API_URL") + "/generate_stream"
-
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") 
 
-
 def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):  
-   
     headers = {
     "Content-Type": "application/json",
     "Authorization": f"Bearer {OPENAI_API_KEY}"
@@ -46,15 +42,7 @@ def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], hi
     temp["content"] = inputs
     messages.append(temp)
   
-    payload = {
-    "model": "gpt-3.5-turbo",
-    "messages": messages, 
-    "temperature" : 0.2,
-    "top_p": 1.0,
-    "n" : 1,
-    "stream": True,
-    "presence_penalty":0,
-    "frequency_penalty":0,}
+    payload = {"model": "gpt-3.5-turbo", "messages": messages, "temperature" : 0.2, "top_p": 1.0, "n" : 1, "stream": True, "presence_penalty":0, "frequency_penalty":0,}
 
     chat_counter+=1
 
@@ -84,50 +72,32 @@ def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=[], hi
                 history[-1] = partial_words
               chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ]  # convert to tuples of list
               token_counter+=1
-              yield chat, history, chat_counter, response  # resembles {chatbot: chat, state: history}  
-                   
-
+              yield chat, history, chat_counter, response  # resembles {chatbot: chat, state: history}
 def reset_textbox():
     return gr.update(value='')
-
-
 def set_visible_false():
     return gr.update(visible=False)
-
-
 def set_visible_true():
     return gr.update(visible=False)
-
-
-
-
 theme_addon_msg = ""
-
 system_msg_info = ""
-
-
 theme = gr.themes.Soft(primary_hue="zinc", secondary_hue="green", neutral_hue="blue",
                       text_size=gr.themes.sizes.text_md)                
 
 with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;} #chatbot {height: 360px; overflow: auto;}""",
-                      theme=theme) as demo:
-    
-    with gr.Column(elem_id = "col_container"):
-     
+                      theme=theme) as demo:    
+    with gr.Column(elem_id = "col_container"):     
         with gr.Accordion("", open=False, visible=False):
             system_msg = gr.Textbox(value="")
             accordion_msg = gr.HTML(value="", visible=False)
         chatbot = gr.Chatbot(label='Trek Asistanı', elem_id="chatbot")
         inputs = gr.Textbox(placeholder= "Buraya yazın, yanıtlayalım.", show_label= False)
-        state = gr.State([]) 
-        
-       
+        state = gr.State([])       
         with gr.Accordion("", open=False, visible=False):            
             top_p = gr.Slider( minimum=-0, maximum=1.0, value=1.0, step=0.05, interactive=False, visible=False)
             temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=False, visible=False)
             chat_counter = gr.Number(value=0, visible=False, precision=0)
 
-
     inputs.submit( predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter],)  #openai_api_key
     inputs.submit(reset_textbox, [], [inputs])