update app

README.md

@@ -1,8 +1,8 @@
 ---
 title: Aya Expanse
-emoji: 🏃
-colorFrom: purple
-colorTo: yellow
+emoji: 🌍
+colorFrom: blue
+colorTo: green
 sdk: gradio
 sdk_version: 5.3.0
 app_file: app.py

app.py

@@ -94,7 +94,7 @@ def replicate_api_inference(input_prompt):
     return image
 
 def generate_image(input_prompt, model_id="black-forest-labs/FLUX.1-schnell"):
-    if input_prompt is not None and input_prompt!="":
+    if input_prompt:
         if USE_REPLICATE:
             print("using replicate for image generation")
             image = replicate_api_inference(input_prompt)
@@ -112,7 +112,7 @@ def generate_image(input_prompt, model_id="black-forest-labs/FLUX.1-schnell"):
         return None
 
 def generate_img_prompt(input_prompt):
-    if input_prompt is not None and input_prompt!="":
+    if input_prompt:
         # clean prompt before doing language detection
         cleaned_prompt = clean_text(input_prompt, remove_bullets=True, remove_newline=True)
         text_lang_code = predict_language(cleaned_prompt)
@@ -185,7 +185,7 @@ def clear_chat():
 # Audio Pipeline util functions
 
 def transcribe_and_stream(inputs, model_name="groq_whisper", show_info="show_info", language="english"):
-    if inputs is not None and inputs!="":
+    if inputs:
         if show_info=="show_info":
             gr.Info("Processing Audio", duration=1)
         if model_name != "groq_whisper":
@@ -208,7 +208,7 @@ def transcribe_and_stream(inputs, model_name="groq_whisper", show_info="show_inf
 
 
 def aya_speech_text_response(text):
-    if text is not None and text!="":
+    if text:
         stream = audio_response_client.chat_stream(message=text,preamble=AUDIO_RESPONSE_PREAMBLE, model=AYA_MODEL_NAME)
         output = ""
 
@@ -236,7 +236,7 @@ def clean_text(text, remove_bullets=False, remove_newline=False):
 def convert_text_to_speech(text, language="english"):
     
     # do language detection to determine voice of speech response
-    if text is not None and text!="":
+    if text:
         # clean text before doing language detection
         cleaned_text = clean_text(text, remove_bullets=True, remove_newline=True)
         text_lang_code = predict_language(cleaned_text)
@@ -338,7 +338,7 @@ demo = gr.Blocks(theme=theme, analytics_enabled=False)
 with demo:
     with gr.Row(variant="panel"):
         with gr.Column(scale=1):
-            gr.Image("aya-expanse.png", elem_id="logo-img", show_label=False, show_share_button=False, show_download_button=False, show_fullscreen_button=False)
+            gr.Image("AyaExpanse.png", elem_id="logo-img", show_label=False, show_share_button=False, show_download_button=False, show_fullscreen_button=False)
         with gr.Column(scale=30):
             gr.Markdown("""C4AI Aya Expanse is a state-of-art model with highly advanced capabilities to connect the world across languages. 
             <br/>