Create app.py

app.py

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+!pip install transformers sentencepiece -q
+
+!pip install gradio
+
+# Importing the pipeline function from the transformers library 
+from transformers import pipeline
+import gradio as gr
+
+# Creating a Text2TextGenerationPipeline for language translation 
+pipe = pipeline(task='text2text-generation', model='facebook/m2m100_418M')
+
+# Define the language dictionary outside the translate function
+languages = {
+    "English": "en",
+    "Spanish": "es",
+    "French": "fr",
+    "German": "de",
+    "Chinese": "zh",
+    "Hindi": "hi"
+}
+
+def translate(text, target_language):
+    target_lang_id = pipe.tokenizer.get_lang_id(lang=languages[target_language])
+    translated_text = pipe(text, forced_bos_token_id=target_lang_id)
+    return translated_text[0]['generated_text']
+gr.close_all()
+
+iface = gr.Interface(
+    fn=translate,
+    title="Text Translator", 
+    inputs=[
+        gr.inputs.Textbox(lines=2, label="Input Text"),
+        gr.inputs.Dropdown(list(languages.keys()), label="Target Language")
+    ],
+    outputs=gr.outputs.Textbox(label="Translated Text")
+)
+
+iface.launch()
+
+
+