update OpenAI API settings

app.py

@@ -29,7 +29,7 @@ pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.conf
 lora_path = "./tbh368-sdxl.safetensors"
 pipe.load_lora_weights(lora_path, adapter_name="milton-glaser")
 pipe.load_lora_weights("e-n-v-y/envyimpressionismxl01", weight_name="EnvyImpressionismXL01.safetensors", adapter_name="impressionism")
-pipe.set_adapters(["milton-glaser", "impressionism"], adapter_weights=[0.8, 0.6])
+pipe.set_adapters(["milton-glaser", "impressionism"], adapter_weights=[0.9, 0.6])
 
 # 載入 CVAW Corpus 資料
 cvaw_data = pd.read_csv('./CVAW_all_SD.csv', delimiter='\t')
@@ -65,7 +65,7 @@ def call_gpt(input_text, history):
   messages.append({"role": "user", "content": input_text})
 
   chat_reply = client.chat.completions.create(
-    model="gpt-4o",
+    model="chatgpt-4o-latest",
     messages=messages,
     temperature=0.8
   )
@@ -104,7 +104,9 @@ def translate_to_english(text):
 
   chat_reply = client.chat.completions.create(
     messages=messages,
-    model="gpt-4o-mini",
+    model="chatgpt-4o-latest",
+    temperature=0.3,
+    max_tokens=60
   )
 
   return chat_reply.choices[0].message.content
@@ -117,7 +119,7 @@ def generate_images(history, conversation_times, last_genimg_times, generated_im
   user_story = " ".join([h[0] for h in history])
   prompt = translate_to_english(user_story)
 
-  neg_prompt = "dark, realistic, words, sentence, text, Low quality, error, extra, nude, duplicate, ugly"
+  neg_prompt = "dark, realistic, words, sentence, text, extra, nude, duplicate, ugly"
 
   seeds = np.random.randint(0, 100000, 4)
   generator = [torch.Generator().manual_seed(int(i)) for i in seeds]
@@ -125,7 +127,7 @@ def generate_images(history, conversation_times, last_genimg_times, generated_im
   last_genimg_times = conversation_times
 
   for i in range(4):
-    img = pipe("modern digital impressionism, style of Milton Glaser, oil painting, moody color palette, hard to understood, "+prompt,
+    img = pipe("modern digital impressionism, style of Milton Glaser, oil painting, moody color palette, hard to understood, abstract, "+prompt,
                 negative_prompt=neg_prompt,
                 height=720, width=512,
                 generator=generator[i],
@@ -156,7 +158,7 @@ def chat_about_image(input_text, history, selected_image):
   ]
 
   chat_reply = client.chat.completions.create(
-    model="gpt-4o",
+    model="chatgpt-4o-latest",
     messages=messages,
     max_tokens=300
   )
@@ -287,7 +289,7 @@ with gr.Blocks(theme=theme, css=css, title='療癒對話機器人') as demo:
   arousal_scores = gr.State(value=[])
 
   gr.Markdown("# 療癒對話機器人")
-  gr.LoginButton(value="登入 HuggingFace", logout_value="登出", variant="primary", size="sm")
+  login = gr.LoginButton(value="登入 Hugging Face", logout_value="登出 Hugging Face", variant="primary", size="sm")
   
   loading_message = gr.Textbox(visible=False, show_label=False)
   with gr.Column(visible=False) as audio_interface:
@@ -313,6 +315,7 @@ with gr.Blocks(theme=theme, css=css, title='療癒對話機器人') as demo:
       image_chat_input = gr.Textbox(label="這張圖像讓你產生了什麼樣的聯想？")
       image_chat_button = gr.Button("與聊天機器人分享", variant="primary")
  
+  login.activate()
   # chatbot events handle
   submit.click(handle_chat, [msg, chatbot, conversation_times, valence_scores, arousal_scores, meditation_flag], [chatbot, msg, submit, jump_to_med, meditation_buttons, conversation_times, valence_scores, arousal_scores, meditation_flag])
   msg.submit(handle_chat, [msg, chatbot, conversation_times, valence_scores, arousal_scores, meditation_flag], [chatbot, msg, submit, jump_to_med, meditation_buttons, conversation_times, valence_scores, arousal_scores, meditation_flag])
@@ -339,4 +342,4 @@ with gr.Blocks(theme=theme, css=css, title='療癒對話機器人') as demo:
 
 if __name__ == "__main__":
   demo.queue(max_size=30, default_concurrency_limit=20)
-  demo.launch(show_api=False, max_threads=40)
+  demo.launch(show_api=False, max_threads=40)