Adding an example Gradio app

app.py

@@ -0,0 +1,91 @@
+import re
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+system_instructions = """<s> [INST] You will be provided with text, and your task is to translate it into emojis. DO NOT USE ANY REGULAR TEXT. Do your best with emojis only. Translate this text: """
+
+
+def generate_translation(prompt):
+    generate_kwargs = dict(
+        temperature=0.5,
+        max_new_tokens=1024,
+        top_p=0.95,
+        repetition_penalty=1.0,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = system_instructions + prompt + "[/INST]"
+    stream = client.text_generation(
+        formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        output += response.token.text
+
+    emoji_pattern = r"[^\u0021-\u007E\u00A0-\uD7FF\uE000-\uFDCF\uFF00-\uFFEF\u10000-\u10FFFF\u0300-\u036F\u1F00-\u1F1F\u1F20-\u1F7F\u2600-\u26FF\u2700-\u27BF]+?"
+
+    filtered_output = re.findall(emoji_pattern, output)
+
+    return ''.join(filtered_output).replace(" ", "").replace("\n", "")
+
+
+system_instructions_emoji_input = """<s> [INST] You will be provided with emojis, and your task is to create a short story from it. DO NOT USE ANY EMOJIS. Do your best with text only. Translate this emojis: """
+
+
+def generate_emoji_translation(prompt):
+    generate_kwargs = dict(
+        temperature=0.5,
+        max_new_tokens=1024,
+        top_p=0.95,
+        repetition_penalty=1.0,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = system_instructions_emoji_input + prompt + "[/INST]"
+    stream = client.text_generation(
+        formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        output += response.token.text
+    yield output.rsplit("<", 1)[0]
+
+    return output.rsplit("<", 1)[0]
+
+
+with gr.Blocks() as demo:
+    gr.HTML("""
+<center><h1>Emoji Translator 🤗😻</h1>
+<h3>Translate any text into emojis, and vice versa!</h3>
+            Original space: https://huggingface.co/spaces/gospacedev/emoji-translator
+</center>
+""")
+
+    gr.Markdown("""
+# Text to Emoji 📖➡️😻
+""")
+    with gr.Row():
+        text_uesr_input = gr.Textbox(label="Enter text 📚")
+        output = gr.Textbox(label="Translation")
+    with gr.Row():
+        translate_btn = gr.Button("Translate 🚀")
+        translate_btn.click(fn=generate_translation, inputs=text_uesr_input,
+                            outputs=output, api_name="translate_text")
+
+    gr.Markdown("""
+# Emoji to Text 😻➡️📖
+""")
+    with gr.Row():
+        emoji_user_input = gr.Textbox(label="Enter emojis 🤗")
+        output = gr.Textbox(label="Translation")
+    with gr.Row():
+        translate_btn = gr.Button("Translate 🚀")
+        translate_btn.click(fn=generate_emoji_translation, inputs=emoji_user_input,
+                            outputs=output, api_name="translate_emojis")
+
+if __name__ == "__main__":
+    demo.launch(show_api=False)