update icon

app.py

@@ -8,13 +8,14 @@ import re
 import transformers
 import open_clip
 
-# Optional: keep these utilities if your pipeline depends on them
+# from Pilot-Phase3.optim_utils import optimize_prompt
+# from Pi
 from optim_utils import optimize_prompt
 from utils import (
     clean_response_gpt, setup_model, init_gpt_api, call_gpt_api,
     get_refine_msg, clean_cache, get_personalize_message,
     clean_refined_prompt_response_gpt, IMAGES, OPTIONS, T2I_MODELS,
-    INSTRUCTION, IMAGE_OPTIONS, PROMPTS, SCENARIOS  # some may be unused after simplification
+    INSTRUCTION, IMAGE_OPTIONS, PROMPTS, SCENARIOS  
 )
 
 # =========================
@@ -39,7 +40,7 @@ llm_pipe = None
 inverted_prompt = ""
 torch.cuda.empty_cache()
 
-METHOD = "Experimental"  # keep ONLY experimental
+METHOD = "Experimental" 
 counter = 1
 enable_submit = False
 responses_memory = {METHOD: {}}
@@ -121,7 +122,6 @@ def invert_prompt(prompt, images, prompt_len=15, iter=500, lr=0.1, batch_size=2)
         "clip_pretrain": PRETRAINED_CLIP,
     }
     inverted_prompt = optimize_prompt(clip_model, preprocess, text_params, device, target_images=images, target_prompts=prompt)
-    print(inverted_prompt)
 
     # eval(prompt, learned_prompt, optimized_images, clip_model, preprocess)
     # return learned_prompt
@@ -312,7 +312,8 @@ css = """
 with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "sans-serif"]), css=css) as demo:
     with gr.Column(elem_id="col-container", elem_classes=["header-section"]):
         gr.Markdown("# 📌 **POET**")
-        gr.Markdown("## Supporting Prompting Creativity with Automated Expansion of Text-to-Image Generation")
+        gr.HTML('<div><img src="images/icon.png" width="200"></div>')
+        gr.Markdown("### Supporting Prompting Creativity with Automated Expansion of Text-to-Image Generation")
         
         # <strong>Abstract:</strong> State-of-the-art visual generative AI tools hold immense potential to assist users in the early ideation stages of creative tasks — offering the ability to generate (rather than search for) novel and unprecedented (instead of existing) images of considerable quality that also adhere to boundless combinations of user specifications. However, many large-scale text-to-image systems are designed for broad applicability, yielding conventional output that may limit creative exploration. They also employ interaction methods that may be difficult for beginners.        # 
         gr.Markdown("""
@@ -333,7 +334,9 @@ with gr.Blocks(theme=gr.themes.Soft(font=[gr.themes.GoogleFont("Inconsolata"), "
         # Authors
         gr.Markdown("""
         <div class="authors-section">
-            Evans Han, Alice Qian Zhang, Haiyi Zhu, Hong Shen, Paul Pu Liang, Jane Hsieh
+            <a href="https://scholar.google.com/citations?user=HXED4kIAAAAJ&hl=en">Evans Han</a>, <a href"https://www.aliceqian.com/">Alice Qian Zhang</a>, 
+            <a href="https://haiyizhu.com/">Haiyi Zhu</a>, <a href="https://www.andrew.cmu.edu/user/hongs/">Hong Shen</a>, 
+            <a href="https://pliang279.github.io/">Paul Pu Liang</a>, <a href="https://janeon.github.io/">Jane Hsieh</a>
         </div>
         """, elem_classes=["authors-section"])
         

credentials.json

@@ -1,14 +0,0 @@
-{
-    "type": "service_account",
-    "project_id": "fairness-452723",
-    "private_key_id": "6ef19457273e863d3d6c7d43fc26c020332f4534",
-    "private_key": "-----BEGIN PRIVATE KEY-----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\n7mJo9qdX51m/NAB6i689JIakXQ==\n-----END PRIVATE KEY-----\n",
-    "client_email": "[email protected]",
-    "client_id": "111082330112077835833",
-    "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-    "token_uri": "https://oauth2.googleapis.com/token",
-    "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
-    "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/fairnessgroup%40fairness-452723.iam.gserviceaccount.com",
-    "universe_domain": "googleapis.com"
-  }
-  

requirements.txt

@@ -14,4 +14,5 @@ open-clip-torch==2.24.0
 gspread
 google-api-python-client
 google-auth-httplib2 
-google-auth-oauthlib
+google-auth-oauthlib
+# git+https://xh365:${HF_TOKEN}@huggingface.co/spaces/PAI-GEN/Pilot-Phase3.git