Create app.py

app.py

@@ -0,0 +1,99 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+import langid
+
+# Load models and tokenizers into dictionaries for easier access
+models = {
+    "en": {
+        "fr": 
+AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-fr"),
+        "es": 
+AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-es"),
+    },
+    "fr": {
+        "en": 
+AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-en"),
+        "es": 
+AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fr-es"),
+    },
+    "es": {
+        "en": 
+AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-en"),
+        "fr": 
+AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-fr"),
+    },
+}
+
+tokenizers = {
+    "en": {
+        "fr": 
+AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-fr"),
+        "es": 
+AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-es"),
+    },
+    "fr": {
+        "en": 
+AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-en"),
+        "es": 
+AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-es"),
+    },
+    "es": {
+        "en": 
+AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-en"),
+        "fr": 
+AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-fr"),
+    },
+}
+
+def translate(input_text, source_lang, target_lang):
+    tokenizer = tokenizers[source_lang][target_lang]
+    model = models[source_lang][target_lang]
+    inputs = tokenizer(input_text, return_tensors="pt")
+    translated_tokens = model.generate(**inputs)
+    return tokenizer.batch_decode(translated_tokens, 
+skip_special_tokens=True)[0]
+
+def translate_text(input_text):
+    detected_lang, _ = langid.classify(input_text)
+    translations = {"English": "", "French": "", "Spanish": ""}
+
+    if detected_lang == "en":
+        translations["French"] = translate(input_text, "en", "fr")
+        translations["Spanish"] = translate(input_text, "en", "es")
+    elif detected_lang == "fr":
+        translations["English"] = translate(input_text, "fr", "en")
+        translations["Spanish"] = translate(input_text, "fr", "es")
+    elif detected_lang == "es":
+        translations["English"] = translate(input_text, "es", "en")
+        translations["French"] = translate(input_text, "es", "fr")
+    else:
+        translations["Error"] = "Language not supported for translation."
+
+    return translations["English"], translations["French"], translations["Spanish"]
+
+def clear_textboxes():
+    return "", ""
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            text_to_translate = gr.Textbox(label="Text to Translate")
+            translate_btn = gr.Button(value="Translate")
+        with gr.Column():
+            translation_en = gr.Textbox(label="Translation to English")
+            translation_fr = gr.Textbox(label="Translation to French")
+            translation_es = gr.Textbox(label="Translation to Spanish")
+            clear_btn = gr.Button(value="Clear")
+    translate_btn.click(
+        fn=translate_text, 
+        inputs=[text_to_translate], 
+        outputs=[translation_en, translation_fr, translation_es]
+    )
+
+    clear_btn.click(
+        fn=clear_textboxes, 
+        inputs=None, 
+        outputs=[text_to_translate, translation_en, translation_fr, translation_es]
+    )
+
+demo.launch(share=True)