Create app.py

app.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+from fastapi.middleware.cors import CORSMiddleware
+from transformers import MarianMTModel, MarianTokenizer, pipeline
+import gradio as gr
+
+# Load translation models (xx -> en)
+models = {
+    "ar": pipeline("translation", model="Helsinki-NLP/opus-mt-ar-en"),
+    "ur": pipeline("translation", model="Helsinki-NLP/opus-mt-ur-en"),
+    "hi": pipeline("translation", model="Helsinki-NLP/opus-mt-hi-en"),
+}
+
+# Dummy fastapi backend
+app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+class TranslationRequest(BaseModel):
+    text: str
+
+def detect_language(text: str) -> str:
+    """Very basic language detector based on script/characters."""
+    if any("\u0600" <= c <= "\u06FF" for c in text):  # Arabic/Urdu
+        # Urdu detection heuristic
+        if "ے" in text or "ں" in text:  
+            return "ur"
+        return "ar"
+    elif any("\u0900" <= c <= "\u097F" for c in text):  # Devanagari -> Hindi
+        return "hi"
+    return "en"
+
+@app.post("/translate")
+def translate(req: TranslationRequest):
+    lang = detect_language(req.text)
+    if lang == "en":
+        return {"input": req.text, "translation": req.text, "lang": "en"}
+    else:
+        translated = models[lang](req.text)[0]["translation_text"]
+        return {"input": req.text, "translation": translated, "lang": lang}
+
+# ---- Gradio Interface ----
+def chat_interface(user_input):
+    lang = detect_language(user_input)
+    if lang == "en":
+        return f"🗣 You: {user_input}\n\n🌐 Detected: English\n\n✅ Translation: {user_input}"
+    else:
+        translated = models[lang](user_input)[0]["translation_text"]
+        return f"🗣 You: {user_input}\n\n🌐 Detected: {lang.upper()}\n\n✅ Translation: {translated}"
+
+with gr.Blocks(css=".gradio-container {font-family: 'Poppins', sans-serif;}") as demo:
+    gr.Markdown("## 🌍 Multilingual → English Chatbot")
+    gr.Markdown("Type anything in **Arabic, Urdu, Hindi, or English**, and I’ll always answer in English!")
+
+    with gr.Row():
+        inp = gr.Textbox(placeholder="Type here...", label="Your Message")
+    out = gr.Textbox(label="Chat Response", interactive=False)
+
+    inp.submit(chat_interface, inp, out)
+
+demo.launch(server_name="0.0.0.0", server_port=7860)