v1.0

app.py

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+import gradio as gr
+from model import run
+from languages import language_names
+
+
+
+example_text = "Now let's make my mum's favourite. So three mars bars into the pan. Then we add the tuna and just stir for a bit, just let the chocolate and fish infuse. A sprinkle of olive oil and some tomato ketchup. Now smell that. Oh boy this is going to be incredible."
+css = """
+body {
+    background: linear-gradient(135deg, #0f2027, #203a43, #2c5364);
+}
+.gradio-container {
+    font-family: 'Inter', sans-serif;
+}
+textarea {
+    border-radius: 12px !important;
+    font-size: 16px !important;
+}
+button {
+    border-radius: 999px !important;
+    font-weight: 600 !important;
+}
+"""
+
+with gr.Blocks(
+    theme=gr.themes.Soft(
+        primary_hue="indigo",
+        secondary_hue="cyan",
+        neutral_hue="slate"
+    ),
+    css=css
+) as app:
+
+    gr.Markdown(
+        """
+        # 🌍 Universal Translator
+        Translate texts quickly between multiple languages.
+        Simple and functional.
+        """
+    )
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            source_language = gr.Dropdown(
+                choices=language_names,
+                value="English",
+                label="Source Language"
+            )
+            input_text = gr.Textbox(
+                label="Original text",
+                placeholder="Please enter the text...",
+                lines=8,
+                value=example_text
+            )
+
+        with gr.Column(scale=1):
+            target_language = gr.Dropdown(
+                choices=language_names,
+                value="Portuguese",
+                label="Target Language"
+            )
+            output_text = gr.Textbox(
+                label="Translation",
+                lines=8,
+                interactive=False
+            )
+
+    translate_btn = gr.Button("Translate ✨")
+
+    translate_btn.click(
+        run,
+        inputs=[input_text, target_language],
+        outputs=output_text
+    )
+
+
+if __name__ == "__main__":
+    app.queue(max_size=10).launch(mcp_server=True)

languages.py

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+languages = {
+    "Chinese": "zh",
+    "English": "en",
+    "French": "fr",
+    "Portuguese": "pt",
+    "Spanish": "es",
+    "Japanese": "ja",
+    "Turkish": "tr",
+    "Russian": "ru",
+    "Arabic": "ar",
+    "Korean": "ko",
+    "Thai": "th",
+    "Italian": "it",
+    "German": "de",
+    "Vietnamese": "vi",
+    "Malay": "ms",
+    "Indonesian": "id",
+    "Filipino": "tl",
+    "Hindi": "hi",
+    "Traditional Chinese": "zh-Hant",
+    "Polish": "pl",
+    "Czech": "cs",
+    "Dutch": "nl",
+    "Khmer": "km",
+    "Burmese": "my",
+    "Persian": "fa",
+    "Gujarati": "gu",
+    "Urdu": "ur",
+    "Telugu": "te",
+    "Marathi": "mr",
+    "Hebrew": "he",
+    "Bengali": "bn",
+    "Tamil": "ta",
+    "Ukrainian": "uk",
+    "Tibetan": "bo",
+    "Kazakh": "kk",
+    "Mongolian": "mn",
+    "Uyghur": "ug",
+    "Cantonese": "yue"
+}
+
+language_names = list(languages.keys())

model.py

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+from llama_cpp import Llama
+from huggingface_hub import hf_hub_download
+
+
+
+repo_id = "tencent/HY-MT1.5-1.8B-GGUF"
+filename = "HY-MT1.5-1.8B-Q8_0.gguf"
+local_dir = "./model"
+model_path = hf_hub_download(repo_id=repo_id, filename=filename, local_dir=local_dir)
+
+llm = Llama(
+    model_path=model_path,
+    n_ctx=4096,      # Corresponde ao -n 4096
+    verbose=False    # Reduz o log excessivo no console
+)
+
+
+
+def run(
+    text: str = "It’s on the house.",
+    target_language: str = "Portuguese",
+):
+    prompt = f"Translate the following segment into {target_language}, without additional explanation.\n\n{text}"
+
+    output = llm(
+        prompt,
+        max_tokens=4096,
+        temperature=0.7,      # --temp 0.7
+        top_k=20,             # --top-k 20
+        top_p=0.6,             # --top-p 0.6
+        repeat_penalty=1.05,  # --repeat-penalty 1.05
+        stop=["\n"]           # Opcional: para parar após a tradução
+    )
+
+    result = output["choices"][0]["text"].strip()
+    return result

requirements.txt

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+huggingface_hub
+
+gradio
+https://github.com/rafael-vasconcellos/llama-cpp-python-wheels/releases/download/v0.0.2/llama_cpp_python-0.3.16-cp310-cp310-linux_x86_64.whl