Duplicate from Jour/Translate-bloomz

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README.md

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+---
+title: Translate With Bloom
+emoji: 🐠
+colorFrom: yellow
+colorTo: pink
+sdk: gradio
+sdk_version: 3.0.26
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: Jour/Translate-bloomz
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import requests
+import json
+import os
+
+
+LANGUAGES = ['Akan', 'Arabic', ' Assamese', 'Bambara', 'Bengali', 'Catalan', 'English', 'Spanish', ' Basque', 'French', ' Gujarati', 'Hindi', 
+'Indonesian', 'Igbo', 'Kikuyu', 'Kannada', 'Ganda', 'Lingala', 'Malayalam', 'Marathi', 'Nepali', 'Chichewa', 'Oriya', 'Panjabi', 'Portuguese', 
+'Kirundi', 'Kinyarwanda', 'Shona', 'Sotho', 'Swahili', 'Tamil', 'Telugu', 'Tswana', 'Tsonga', 'Twi', 'Urdu', 'Viêt Namese', 'Wolof', 'Xhosa', 
+'Yoruba', 'Chinese', 'Zulu']
+
+API_URL = "https://api-inference.huggingface.co/models/bigscience/bloomz"
+
+
+def translate(output, text):
+    """Translate text from input language to output language"""
+
+    instruction =  f"""Translatate to {output}: {text}\nTranslation: """ 
+
+    json_ = {
+        "inputs": instruction,
+        "parameters": {
+            "return_full_text": True,
+            "do_sample": False,
+            "max_new_tokens": 250,
+        }, 
+        "options": {
+            "use_cache": True,
+            "wait_for_model": True,
+            },
+    }
+    response = requests.request("POST", API_URL,  json=json_) 
+    output = response.json()
+
+    return output
+
+demo = gr.Blocks()
+
+with demo:
+  gr.Markdown("<h1><center>Translation with Bloom</center></h1>")
+  gr.Markdown("<center>Translation in many language with mt0-xxl</center>")
+  
+  with gr.Row():
+    output_lang = gr.Dropdown(LANGUAGES, value='French', label='Select output language')
+
+  input_text = gr.Textbox(label="Input", lines=6)  
+  output_text = gr.Textbox(lines=6, label="Output")
+
+  buton = gr.Button("translate")
+  buton.click(translate, inputs=[output_lang, input_text], outputs=output_text) 
+    
+demo.launch(enable_queue=True, debug=True)