remove LD

app.py

@@ -4,10 +4,6 @@ import gradio as gr
 import torch
 import uuid
 import time
-import ldclient
-
-from ldclient.config import Config
-from ldclient import Context
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 
@@ -38,28 +34,6 @@ def capture_logs(log_body, log_file, uuid_label):
 print("CUDA available: ", torch.cuda.is_available())
 print("MPS available: ", torch.backends.mps.is_available())
 
-sdkKey = os.getenv('sdkKEY')
-
-ldclient.set_config(Config(sdkKey))
-client = ldclient.get()
-
-context = Context.builder("huggie-face") \
-    .set("application", "deepSeekChatbot") \
-    .build()
-
-flag_value = client.variation("themeColors", context, False)
-if flag_value:
-    print("Feature flag on")
-    theme = gr.themes.Soft(
-        primary_hue="fuchsia",
-        neutral_hue="blue",
-    )
-else:
-    print("Feature flag off")
-    theme = gr.themes.Soft(
-        primary_hue="sky",
-        neutral_hue="slate",
-    )
 
 tokenizer = AutoTokenizer.from_pretrained(
     "deepseek-ai/deepseek-coder-1.3b-instruct", trust_remote_code=True)
@@ -122,7 +96,6 @@ iface = gr.Interface(
                   maximum=1.0, step=0.1, value=0.95),
     ],
     outputs=gr.Textbox(label="Hope it helps!"),
-    theme=theme,
     title="DSChatbot"
 )
 

requirements.txt

@@ -6,4 +6,3 @@ minijinja
 torch --extra-index-url https://download.pytorch.org/whl/cu118
 torchvision
 torchaudio
-launchdarkly-server-sdk

start.sh

@@ -17,4 +17,4 @@ pip install -r requirements.txt
 
 # Start the app
 echo "Launching your Hugging Face app!"
-sdkKEY=${sdkKEY} python app.py
+python app.py