Revert "auto detection of language input"

This reverts commit 4b9fc1415d3348bfb68381cc37ebc89a7ecfb9ad.

app/app.py

@@ -25,7 +25,6 @@ from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 import threading
 from collections import defaultdict
 from datasets import load_dataset
-from lang_model_router import detect_language_code, get_language_name_and_model
 
 
 BASE_MODEL = os.getenv("MODEL", "google/gemma-3-12b-pt")
@@ -397,29 +396,12 @@ def respond(
     language: str,
     temperature: Optional[float] = None,
     seed: Optional[int] = None,
-    auto_detect: bool = True,
 ) -> list:
-    """Respond to the user message with system prompt in auto-detected or selected language."""
-    # Get last user message
-    user_input = ""
-    for msg in reversed(history):
-        if msg["role"] == "user":
-            user_input = msg["content"]
-            break
-
-    # Determine language
-    if auto_detect:
-        lang_code = detect_language_code(user_input)
-        language, _ = get_language_name_and_model(lang_code)
-
-    # Load system prompt
-    system_prompt = LANGUAGES.get(language, LANGUAGES["English"])
-
-    # Format message list with system prompt prepended
-    messages = [{"role": "system", "content": system_prompt}]
-    messages.extend(format_history_as_messages(history))
-
-    # Generate response
+    """Respond to the user message with a system message
+
+    Return the history with the new message"""
+    messages = format_history_as_messages(history)
+
     if ZERO_GPU:
         content = call_pipeline(messages)
     else:
@@ -434,7 +416,6 @@ def respond(
         )
         content = response.choices[0].message.content
 
-    # Add response to history
     message = gr.ChatMessage(role="assistant", content=content)
     history.append(message)
     return history

app/lang_model_router.py

@@ -1,35 +0,0 @@
-
-from langdetect import detect, DetectorFactory
-from transformers import AutoTokenizer, AutoModelForCausalLM
-import os
-DetectorFactory.seed = 0 
-LANGUAGE_MAP = {
-    "en": {"name": "English", "model": "openai-community/gpt2"},
-    "fr": {"name": "French", "model": "dbddv01/gpt2-french-small"},
-    "es": {"name": "Spanish", "model": "datificate/gpt2-small-spanish"},
-    "de": {"name": "German", "model": "deepset/gbert-base"},
-    "hi": {"name": "Hindi", "model": "ai4bharat/indic-bert"},
-    "mr": {"name": "Marathi", "model": "ai4bharat/indic-bert"},
-    "ja": {"name": "Japanese", "model": "rinna/japanese-gpt2-medium"},
-    "zh-cn": {"name": "Chinese", "model": "uer/gpt2-chinese-cluecorpusswwm"},
-    "ru": {"name": "Russian", "model": "sberbank-ai/rugpt3small_based_on_gpt2"},
-    "pt": {"name": "Portuguese", "model": "pierreguillou/gpt2-small-portuguese"},
-    "it": {"name": "Italian", "model": "dbddv01/gpt2-italian"},
-    "nl": {"name": "Dutch", "model": "GroNLP/gpt2-small-dutch"}
-}
-
-
-def detect_language_code(text: str) -> str:
-    try:
-        return detect(text)
-    except Exception:
-        return "en"  # fallback
-
-def get_language_name_and_model(lang_code: str) -> tuple[str, str]:
-    return LANGUAGE_MAP.get(lang_code, LANGUAGE_MAP["en"])
-
-def get_model_by_name(language_name: str) -> str:
-    for code, (name, model) in LANGUAGE_MAP.items():
-        if name.lower() == language_name.lower():
-            return model
-    return LANGUAGE_MODEL_MAP["en"][1]