filter emojis

app.py

@@ -1,3 +1,4 @@
+import re
 import gradio as gr
 from huggingface_hub import InferenceClient
 
@@ -20,17 +21,19 @@ def generate_translation(prompt):
     formatted_prompt = system_instructions + prompt + "[/INST]"
     stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
     output = ""
+    emoji_pattern = r"[^\u0021-\u007E\u00A0-\uD7FF\uE000-\uFDCF\uFF00-\uFFEF\u10000-\u10FFFF\u0300-\u036F\u1F00-\u1F1F\u1F20-\u1F7F\u2600-\u26FF\u2700-\u27BF]+?"
 
     for response in stream:
         output += response.token.text
         yield output
-    return output
+    return re.findall(emoji_pattern, output)
 
 
 
 with gr.Blocks() as demo:
-    name = gr.Textbox(label="Enter text")
-    output = gr.Textbox(label="Translation")
+    with gr.Row():
+        name = gr.Textbox(label="Enter text")
+        output = gr.Textbox(label="Translation")
     translate_btn = gr.Button("Translate!")
     translate_btn.click(fn=generate_translation, inputs=name, outputs=output, api_name="translate")
 

haa.py

@@ -0,0 +1,10 @@
+import re
+
+
+
+# Example usage:
+text = "This is a string with t🤙😊😊ext and emojis👋😂😂😊"
+filtered_emojis = filter_emojis(text)
+
+print(f"Original text: {text}")
+print(f"Filtered emojis: {filtered_emojis}")