multichat

app.py

@@ -6,11 +6,13 @@ import gradio as gr
 import pandas as pd
 from datetime import datetime, timedelta, timezone
 #import torch
-from config import hugging_face_token, replicate_token, groq_token, groq_model, QUESTION_PROMPT, init_google_sheets_client, huggingface_tokenizer, replicate_model,groq_model, default_model_name, user_names, google_sheets_name, MAX_INTERACTIONS
+from config import groq_token, groq_model, QUESTION_PROMPT, init_google_sheets_client, huggingface_tokenizer, replicate_model,groq_model, default_model_name, user_names, google_sheets_name, MAX_INTERACTIONS
+
+#from config import  hugging_face_token, replicate_token
 #import replicate
 import gspread
 from  groq import Client
-
+import random, string
 
 # Initialize Google Sheets client
 client = init_google_sheets_client()
@@ -21,9 +23,19 @@ system_prompts_sheet = sheet.worksheet("System Prompts")
 # Combine both model dictionaries
 all_models = {**groq_model}
 
-groq_clinet = Client(api_key=groq_token)
+def randomize_key_order(aux):
+    keys  = list(aux.keys())
+    #Shuffle the list of keys
+    random.shuffle(keys)
+    #Create a new dictionary with shuffled keys
+    return {key: aux[key] for key in keys}
 
 
+alphabet = list(string.ascii_uppercase)
+
+# Initialize GROQ client
+groq_clinet = Client(api_key=groq_token)
+
 # Load stories from Google Sheets
 def load_stories():
     stories_data = stories_sheet.get_all_values()
@@ -291,7 +303,12 @@ with gr.Blocks() as demo:
                 #aqui armar una ventana x cada modelo seleccionado
                 chatbot_main_output = gr.Chatbot(label="Chat History", type='messages')
                 with gr.Row():
-                    for model in model_list:
+                    #for i, model in enumerate(model_list):
+                    #    label = f"Model {alphabet[i % len(alphabet)]}"
+                    #    aux = gr.Chatbot(label=label, visible=True, type='messages')
+                    #    chatbot_resp.append(aux)   
+                    
+                    for model in randomize_key_order(model_list):
                         aux = gr.Chatbot(label=f"Model {model}", visible=True, type='messages')
                         chatbot_resp.append(aux)
                 user_input = gr.Textbox(placeholder="Type your message here...", label="User Input")
@@ -317,10 +334,6 @@ with gr.Blocks() as demo:
    #send_message_button.click(fn=interact, inputs=[chatbot_input, chat_history_json, interaction_count, model_dropdown], outputs=[chatbot_input, chatbot_output, chat_history_json, interaction_count])
    #save_button.click(fn=save_comment_score, inputs=[chatbot_output, score_input, comment_input, story_dropdown, user_dropdown, system_prompt_dropdown], outputs=[data_table, comment_input])
 
-   #multiple story functions
-   #chat_bot_multiple_1 = gr.JSON(value=[], visible=False)
-   #chat_bot_multiple_2 = gr.JSON(value=[], visible=False)
-   #model_checkbox = gr.JSON(value=[], visible=False)
     chat_radio.change(fn=change_textbox, inputs=chat_radio, outputs=assistant_user_input)
 
     send_multiple_story_button.click(

requirements.txt

@@ -1,12 +1,11 @@
 huggingface_hub==0.25.1
 minijinja
-transformers
-torch
+#transformers
+#torch
 pandas
 gspread
 oauth2client
-accelerate
-bitsandbytes
+#accelerate
+#bitsandbytes
 replicate
-groq
-gradio>=5.0.0
+groq