update app.py

app.py

@@ -0,0 +1,38 @@
+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,
+        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
+        yield output
+    return output
+
+
+
+with gr.Blocks() as demo:
+    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")
+
+if __name__ == "__main__":
+    demo.launch()