Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+from langdetect import detect
+
+# Load translation pipeline (you can change to another model)
+translator = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")  # English as target
+
+# Supported languages and their model codes
+language_models = {
+    "en": "Helsinki-NLP/opus-mt-en-ROMANCE",
+    "fr": "Helsinki-NLP/opus-mt-ROMANCE-en",
+    "de": "Helsinki-NLP/opus-mt-de-en",
+    "es": "Helsinki-NLP/opus-mt-es-en",
+    "hi": "Helsinki-NLP/opus-mt-hi-en",
+    "ta": "Helsinki-NLP/opus-mt-ta-en"
+}
+
+def translate_file(file_obj, target_lang):
+    text = file_obj.read().decode("utf-8")
+    source_lang = detect(text)
+    
+    # Load appropriate model based on target language
+    if target_lang == source_lang:
+        return "Source and target languages are the same. No translation needed."
+    
+    model_name = None
+    for k, v in language_models.items():
+        if target_lang == k:
+            model_name = v
+            break
+    
+    if not model_name:
+        return f"Unsupported target language: {target_lang}"
+
+    model = pipeline("translation", model=model_name)
+    translated = model(text, max_length=1000)[0]['translation_text']
+    return f"Detected source: {source_lang.upper()} → Translated to: {target_lang.upper()}\n\n{translated}"
+
+gr.Interface(
+    fn=translate_file,
+    inputs=[
+        gr.File(label="Upload Text File (.txt)"),
+        gr.Dropdown(choices=list(language_models.keys()), label="Target Language (Code)"),
+    ],
+    outputs="text",
+    title="Multilingual File Translator",
+    description="Upload a .txt file in any language. Choose a target language to translate."
+).launch()