Update app.py

app.py

@@ -1,8 +1,9 @@
 import gradio as gr
 import os
 import requests
+import json  # Importing json module
 
-SYSTEM_PROMPT = "As an  LLM, your job is to generate detailed prompts that start with generate the image, for image generation models based on user input. Be descriptive and specific, but also make sure your prompts are clear and concise."
+SYSTEM_PROMPT = "As an LLM, your job is to generate detailed prompts that start with generate the image, for image generation models based on user input. Be descriptive and specific, but also make sure your prompts are clear and concise."
 TITLE = "Image Prompter"
 EXAMPLE_INPUT = "A Man Riding A Horse in Space"
 zephyr_7b_beta = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-beta"
@@ -13,11 +14,11 @@ def build_input_prompt(message, chatbot, system_prompt):
     """
     Constructs the input prompt string from the chatbot interactions and the current message.
     """
-    input_prompt = "<|system|>\n" + system_prompt + "</s>\n<|user|>\n"
+    input_prompt = "\n" + system_prompt + "</s>\n\n"
     for interaction in chatbot:
-        input_prompt = input_prompt + str(interaction[0]) + "</s>\n<|assistant|>\n" + str(interaction[1]) + "\n</s>\n<|user|>\n"
+        input_prompt = input_prompt + str(interaction[0]) + "</s>\n\n" + str(interaction[1]) + "\n</s>\n\n"
 
-    input_prompt = input_prompt + str(message) + "</s>\n<|assistant|>"
+    input_prompt = input_prompt + str(message) + "</s>\n"
     return input_prompt
 
 
@@ -57,8 +58,6 @@ def predict_beta(message, chatbot=[], system_prompt=""):
 
 def test_preview_chatbot(message, history):
     response = predict_beta(message, history, SYSTEM_PROMPT)
-    text_start = response.rfind("<|assistant|>", ) + len("<|assistant|>")
-    response = response[text_start:]
     return response
 
 
@@ -71,4 +70,4 @@ chatbot_preview = gr.Chatbot(layout="panel", value=[(None, welcome_preview_messa
 textbox_preview = gr.Textbox(scale=7, container=False, value=EXAMPLE_INPUT)
 
 demo = gr.ChatInterface(test_preview_chatbot, chatbot=chatbot_preview, textbox=textbox_preview)
-demo.launch()
+demo.launch()