format app.py

app.py

@@ -7,7 +7,6 @@ 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=0.01,
@@ -19,28 +18,23 @@ 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)
+    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
-
     filtered_output = re.findall(emoji_pattern, output)
 
     return ''.join(filtered_output)
 
 
-
-
-
 with gr.Blocks() as demo:
     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")
+    translate_btn.click(fn=generate_translation, inputs=name,
+                        outputs=output, api_name="translate")
 
 if __name__ == "__main__":
-    demo.launch(show_api=False)
+    demo.launch(show_api=False)