amine_dubs
commited on
Commit
·
443ca56
1
Parent(s):
bf7a078
hilenski
Browse files- backend/main.py +57 -36
- static/script.js +199 -217
backend/main.py
CHANGED
@@ -87,8 +87,8 @@ def initialize_model():
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try:
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print(f"Initializing model and tokenizer (attempt {model_initialization_attempts})...")
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-
# Use a
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model_name = "
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# Check for available device - properly detect CPU/GPU
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device = "cpu" # Default to CPU which is more reliable
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@@ -99,15 +99,20 @@ def initialize_model():
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# Load the tokenizer with explicit cache directory
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print(f"Loading tokenizer from {model_name}...")
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-
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return False
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-
print("Tokenizer loaded successfully")
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# Load the model with explicit device placement
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print(f"Loading model from {model_name}...")
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@@ -143,8 +148,7 @@ def initialize_model():
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return False
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# Test the model with a simple translation to verify it works
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-
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test_result = translator("hello", src_lang="eng_Latn", tgt_lang="ara_Arab", max_length=128)
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print(f"Model test result: {test_result}")
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if not test_result or not isinstance(test_result, list) or len(test_result) == 0:
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print("Model test failed: Invalid output format")
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@@ -194,25 +198,19 @@ Text to translate:
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else:
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# For non-Arabic target languages, use standard approach
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prompt = text
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-
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# Prepare input with explicit instruction format for better results with NLLB
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src_lang_code = f"{source_lang}_Latn" if source_lang != "ar" else f"{source_lang}_Arab"
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-
tgt_lang_code = f"{target_lang}_Latn" if target_lang != "ar" else f"{target_lang}_Arab"
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# Use a more reliable timeout approach with concurrent.futures
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with concurrent.futures.ThreadPoolExecutor() as executor:
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future = executor.submit(
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lambda: translator(
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prompt, # Using our enhanced prompt instead of raw text
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src_lang=src_lang_code,
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tgt_lang=tgt_lang_code,
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max_length=768 # Increased max_length to accommodate longer prompt
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)[0]["translation_text"]
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)
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try:
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# Set a reasonable timeout (
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result = future.result(timeout=
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# Post-process the result for Arabic cultural adaptation
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if target_lang == "ar":
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@@ -220,7 +218,7 @@ Text to translate:
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return result
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except concurrent.futures.TimeoutError:
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-
print(f"Model inference timed out after
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return use_fallback_translation(text, source_lang, target_lang)
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except Exception as e:
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print(f"Error during model inference: {e}")
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@@ -265,7 +263,7 @@ def check_and_reinitialize_model():
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# Test the existing model with a simple translation
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test_text = "hello"
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result = translator(test_text,
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# If we got a valid result, model is working fine
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if result and isinstance(result, list) and len(result) > 0:
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@@ -281,15 +279,30 @@ def check_and_reinitialize_model():
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def use_fallback_translation(text, source_lang, target_lang):
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"""Use various fallback online translation services."""
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-
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libre_servers = [
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"https://translate.terraprint.co/translate",
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"https://libretranslate.de/translate",
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"https://translate.argosopentech.com/translate",
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"https://translate.fedilab.app/translate"
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]
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-
# Try each LibreTranslate server
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for server in libre_servers:
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try:
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print(f"Attempting fallback translation using LibreTranslate: {server}")
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@@ -302,30 +315,38 @@ def use_fallback_translation(text, source_lang, target_lang):
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"target": target_lang
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}
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# Use a
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response = requests.post(server, json=payload, headers=headers, timeout=
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if response.status_code == 200:
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result = response.json()
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if "translatedText" in result:
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return result["translatedText"]
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except Exception as e:
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print(f"Error with LibreTranslate {server}: {str(e)}")
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continue
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#
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# that doesn't need an API key for limited usage
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try:
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print("Attempting fallback with
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-
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-
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except Exception as e:
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print(f"Error with
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# Final fallback - return original text with error message
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-
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# --- Helper Functions ---
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async def extract_text_from_file(file: UploadFile) -> str:
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try:
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print(f"Initializing model and tokenizer (attempt {model_initialization_attempts})...")
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# Use a smaller, faster model
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model_name = "Helsinki-NLP/opus-mt-en-ar" # Much smaller English-to-Arabic model
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# Check for available device - properly detect CPU/GPU
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device = "cpu" # Default to CPU which is more reliable
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# Load the tokenizer with explicit cache directory
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print(f"Loading tokenizer from {model_name}...")
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try:
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tokenizer = AutoTokenizer.from_pretrained(
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model_name,
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cache_dir="/tmp/transformers_cache",
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use_fast=True,
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local_files_only=False
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)
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if tokenizer is None:
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print("Failed to load tokenizer")
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return False
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print("Tokenizer loaded successfully")
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except Exception as e:
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print(f"Error loading tokenizer: {e}")
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return False
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# Load the model with explicit device placement
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print(f"Loading model from {model_name}...")
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return False
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# Test the model with a simple translation to verify it works
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test_result = translator("hello world", max_length=128)
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print(f"Model test result: {test_result}")
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if not test_result or not isinstance(test_result, list) or len(test_result) == 0:
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print("Model test failed: Invalid output format")
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else:
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# For non-Arabic target languages, use standard approach
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prompt = text
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# Use a more reliable timeout approach with concurrent.futures
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with concurrent.futures.ThreadPoolExecutor() as executor:
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future = executor.submit(
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lambda: translator(
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prompt, # Using our enhanced prompt instead of raw text
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max_length=768 # Increased max_length to accommodate longer prompt
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)[0]["translation_text"]
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)
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try:
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# Set a reasonable timeout (10 seconds instead of 15)
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result = future.result(timeout=10)
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# Post-process the result for Arabic cultural adaptation
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if target_lang == "ar":
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return result
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except concurrent.futures.TimeoutError:
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print(f"Model inference timed out after 10 seconds, falling back to online translation")
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return use_fallback_translation(text, source_lang, target_lang)
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except Exception as e:
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print(f"Error during model inference: {e}")
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# Test the existing model with a simple translation
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test_text = "hello"
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result = translator(test_text, max_length=128)
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# If we got a valid result, model is working fine
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if result and isinstance(result, list) and len(result) > 0:
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def use_fallback_translation(text, source_lang, target_lang):
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"""Use various fallback online translation services."""
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print("Using fallback translation...")
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# Try Google Translate API with a wrapper first (most reliable)
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try:
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print("Attempting fallback with Google Translate (no API key)")
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from googletrans import Translator
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google_translator = Translator(service_urls=['translate.google.com', 'translate.google.co.kr'])
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result = google_translator.translate(text, src=source_lang, dest=target_lang)
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if result and result.text:
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print("Google Translate successful!")
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return result.text
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except Exception as e:
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print(f"Error with Google Translate fallback: {str(e)}")
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# List of LibreTranslate servers to try with increased timeout
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libre_servers = [
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"https://translate.terraprint.co/translate",
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"https://libretranslate.de/translate",
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"https://translate.argosopentech.com/translate",
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"https://translate.fedilab.app/translate",
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"https://trans.zillyhuhn.com/translate" # Additional server
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]
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# Try each LibreTranslate server with increased timeout
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for server in libre_servers:
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try:
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print(f"Attempting fallback translation using LibreTranslate: {server}")
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"target": target_lang
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}
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# Use a longer timeout for the request (8 seconds instead of 5)
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response = requests.post(server, json=payload, headers=headers, timeout=8)
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if response.status_code == 200:
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result = response.json()
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if "translatedText" in result:
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print(f"LibreTranslate successful using {server}")
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return result["translatedText"]
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except Exception as e:
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print(f"Error with LibreTranslate {server}: {str(e)}")
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continue
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# Try MyMemory as another fallback
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try:
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print("Attempting fallback with MyMemory Translation API")
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url = "https://api.mymemory.translated.net/get"
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params = {
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"q": text,
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"langpair": f"{source_lang}|{target_lang}",
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}
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response = requests.get(url, params=params, timeout=10)
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if response.status_code == 200:
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data = response.json()
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if data and data.get("responseData") and data["responseData"].get("translatedText"):
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print("MyMemory translation successful!")
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return data["responseData"]["translatedText"]
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except Exception as e:
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print(f"Error with MyMemory fallback: {str(e)}")
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# Final fallback - return original text with error message
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print("All translation services failed. Returning error message.")
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return f"[Translation services unavailable] {text}"
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# --- Helper Functions ---
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async def extract_text_from_file(file: UploadFile) -> str:
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static/script.js
CHANGED
@@ -1,235 +1,217 @@
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// Get form elements
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const
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const
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//
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console.error("Error:", message);
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} else {
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alert("Error: " + message);
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console.error("Error div not found. Error:", message);
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}
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}
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//
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console.log(
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debugDiv.style.display = 'block';
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}
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}
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//
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function
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}
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});
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}
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// Add text form submission handler
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if (textForm) {
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textForm.addEventListener('submit', function(e) {
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e.preventDefault();
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clearFeedback();
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try {
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-
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const textInput = document.getElementById('text-input');
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const sourceLang = document.getElementById('source-lang-text');
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const targetLang = document.getElementById('target-lang-text');
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const textLoading = document.getElementById('text-loading');
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-
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// Debug which elements were found/not found
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-
const foundElements = {
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textInput: !!textInput,
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sourceLang: !!sourceLang,
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targetLang: !!targetLang,
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textLoading: !!textLoading
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};
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showDebug("Found elements: " + JSON.stringify(foundElements));
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-
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// Check if elements exist
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if (!textInput || !sourceLang || !targetLang) {
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showError("Required form elements not found");
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return;
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}
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-
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// Get values safely
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const text = textInput.value ? textInput.value.trim() : '';
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if (!text) {
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showError("Please enter text to translate");
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return;
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}
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-
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// Show loading state if element exists
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if (textLoading) textLoading.style.display = 'block';
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// Prepare request data
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const requestData = {
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text: text,
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source_lang: sourceLang.value,
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target_lang: targetLang.value
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};
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// Debug the request data
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showDebug("Sending request: " + JSON.stringify(requestData));
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// Use simple promise then/catch for better browser compatibility
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fetch('/translate/text', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(requestData)
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})
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.then(response => {
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// First check if response is ok
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if (!response.ok) {
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throw new Error('Server returned ' + response.status);
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}
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return response.text();
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})
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.then(responseText => {
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// Parse the response text
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showDebug("Got response: " + responseText);
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let data;
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try {
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data = JSON.parse(responseText);
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} catch (err) {
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throw new Error('Invalid JSON response');
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}
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-
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// Check for translation result
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if (data && data.translated_text) {
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// Display the result
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const resultBox = document.getElementById('text-result');
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const outputEl = document.getElementById('text-output');
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if (resultBox && outputEl) {
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outputEl.textContent = data.translated_text;
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resultBox.style.display = 'block';
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} else {
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throw new Error('Result display elements not found');
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}
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} else {
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throw new Error(data.error || 'No translation result returned');
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}
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})
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.catch(error => {
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showError(error.message || "Translation failed");
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console.error("Translation error:", error);
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})
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.finally(() => {
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// Hide loading indicator
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if (textLoading) textLoading.style.display = 'none';
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});
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-
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} catch (error) {
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-
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}
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});
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} else {
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console.error("Text translation form not found!");
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}
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-
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//
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160 |
|
161 |
-
|
162 |
-
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163 |
-
|
164 |
-
|
165 |
-
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166 |
-
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167 |
-
|
168 |
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|
169 |
-
|
170 |
-
|
171 |
-
|
172 |
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|
173 |
-
|
174 |
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|
175 |
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|
176 |
-
|
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-
|
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-
|
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.
|
180 |
-
if (!response.ok) throw new Error('Server returned ' + response.status);
|
181 |
-
return response.text();
|
182 |
-
})
|
183 |
-
.then(responseText => {
|
184 |
-
showDebug("Document response: " + responseText);
|
185 |
-
|
186 |
-
let data;
|
187 |
-
try {
|
188 |
-
data = JSON.parse(responseText);
|
189 |
-
} catch (err) {
|
190 |
-
throw new Error('Invalid JSON response');
|
191 |
-
}
|
192 |
-
|
193 |
-
if (!data || !data.translated_text) {
|
194 |
-
throw new Error('No translation returned');
|
195 |
-
}
|
196 |
-
|
197 |
-
// Display result
|
198 |
-
const resultBox = document.getElementById('doc-result');
|
199 |
-
const outputEl = document.getElementById('doc-output');
|
200 |
-
const filenameEl = document.getElementById('doc-filename');
|
201 |
-
const sourceLangEl = document.getElementById('doc-source-lang');
|
202 |
-
|
203 |
-
if (resultBox && outputEl) {
|
204 |
-
if (filenameEl) filenameEl.textContent = data.original_filename || 'N/A';
|
205 |
-
if (sourceLangEl) sourceLangEl.textContent = data.detected_source_lang || 'N/A';
|
206 |
-
outputEl.textContent = data.translated_text;
|
207 |
-
resultBox.style.display = 'block';
|
208 |
-
} else {
|
209 |
-
throw new Error('Result display elements not found');
|
210 |
-
}
|
211 |
-
})
|
212 |
-
.catch(error => {
|
213 |
-
showError(error.message || "Document translation failed");
|
214 |
-
})
|
215 |
-
.finally(() => {
|
216 |
-
if (loadingIndicator) loadingIndicator.style.display = 'none';
|
217 |
-
const button = docForm.querySelector('button');
|
218 |
-
if (button) {
|
219 |
-
button.disabled = false;
|
220 |
-
button.textContent = 'Translate Document';
|
221 |
-
}
|
222 |
-
});
|
223 |
-
|
224 |
-
} catch (error) {
|
225 |
-
showError(error.message || "An unexpected error occurred");
|
226 |
-
console.error("Document error:", error);
|
227 |
-
|
228 |
-
const loadingIndicator = document.getElementById('doc-loading');
|
229 |
-
if (loadingIndicator) loadingIndicator.style.display = 'none';
|
230 |
}
|
231 |
});
|
232 |
-
}
|
233 |
-
|
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|
234 |
}
|
235 |
});
|
|
|
1 |
+
// Wait for the DOM to be fully loaded before attaching event handlers
|
2 |
+
document.addEventListener('DOMContentLoaded', function() {
|
3 |
+
console.log('DOM fully loaded, initializing translation app');
|
4 |
|
5 |
+
// Get form elements
|
6 |
+
const textTranslationForm = document.getElementById('text-translation-form');
|
7 |
+
const docTranslationForm = document.getElementById('doc-translation-form');
|
8 |
|
9 |
+
// Set up text translation form
|
10 |
+
if (textTranslationForm) {
|
11 |
+
console.log('Text translation form found');
|
12 |
+
textTranslationForm.onsubmit = handleTextTranslation;
|
13 |
+
} else {
|
14 |
+
console.error('Text translation form not found!');
|
|
|
|
|
|
|
|
|
|
|
15 |
}
|
16 |
|
17 |
+
// Set up document translation form
|
18 |
+
if (docTranslationForm) {
|
19 |
+
console.log('Document translation form found');
|
20 |
+
docTranslationForm.onsubmit = handleDocTranslation;
|
21 |
+
} else {
|
22 |
+
console.error('Document translation form not found!');
|
|
|
|
|
23 |
}
|
24 |
|
25 |
+
// Function to handle text translation
|
26 |
+
function handleTextTranslation(event) {
|
27 |
+
event.preventDefault();
|
28 |
+
console.log('Text translation form submitted');
|
29 |
+
|
30 |
+
// Clear previous results and errors
|
31 |
+
hideElement('text-result');
|
32 |
+
hideElement('error-message');
|
33 |
+
hideElement('debug-info');
|
34 |
+
|
35 |
+
// Get form elements
|
36 |
+
const textInputElement = document.getElementById('text-input');
|
37 |
+
const sourceLangElement = document.getElementById('source-lang-text');
|
38 |
+
const targetLangElement = document.getElementById('target-lang-text');
|
39 |
+
const loadingElement = document.getElementById('text-loading');
|
40 |
+
const debugElement = document.getElementById('debug-info');
|
41 |
+
|
42 |
+
// Debug which elements were found
|
43 |
+
let debug = 'Found elements: ';
|
44 |
+
debug += textInputElement ? 'text-input ✓ ' : 'text-input ✗ ';
|
45 |
+
debug += sourceLangElement ? 'source-lang-text ✓ ' : 'source-lang-text ✗ ';
|
46 |
+
debug += targetLangElement ? 'target-lang-text ✓ ' : 'target-lang-text ✗ ';
|
47 |
+
console.log(debug);
|
48 |
+
|
49 |
+
// Show debug info
|
50 |
+
if (debugElement) {
|
51 |
+
debugElement.textContent = debug;
|
52 |
+
debugElement.style.display = 'block';
|
53 |
+
}
|
54 |
+
|
55 |
+
// Check for missing elements
|
56 |
+
if (!textInputElement || !sourceLangElement || !targetLangElement) {
|
57 |
+
showError('One or more form elements are missing');
|
58 |
+
return;
|
59 |
+
}
|
60 |
+
|
61 |
+
// Get text input
|
62 |
+
const textInput = textInputElement.value ? textInputElement.value.trim() : '';
|
63 |
+
if (!textInput) {
|
64 |
+
showError('Please enter text to translate');
|
65 |
+
return;
|
66 |
+
}
|
67 |
+
|
68 |
+
// Get language selections
|
69 |
+
const sourceLang = sourceLangElement.value;
|
70 |
+
const targetLang = targetLangElement.value;
|
71 |
+
|
72 |
+
// Show loading indicator
|
73 |
+
if (loadingElement) {
|
74 |
+
loadingElement.style.display = 'block';
|
75 |
+
}
|
76 |
+
|
77 |
+
// Create request payload
|
78 |
+
const payload = {
|
79 |
+
text: textInput,
|
80 |
+
source_lang: sourceLang,
|
81 |
+
target_lang: targetLang
|
82 |
+
};
|
83 |
+
|
84 |
+
// Make the API request
|
85 |
+
fetch('/translate/text', {
|
86 |
+
method: 'POST',
|
87 |
+
headers: {
|
88 |
+
'Content-Type': 'application/json',
|
89 |
+
},
|
90 |
+
body: JSON.stringify(payload)
|
91 |
+
})
|
92 |
+
.then(function(response) {
|
93 |
+
if (!response.ok) {
|
94 |
+
throw new Error(`Server returned ${response.status}: ${response.statusText}`);
|
95 |
+
}
|
96 |
+
return response.text();
|
97 |
+
})
|
98 |
+
.then(function(responseText) {
|
99 |
+
// Show response in debug
|
100 |
+
if (debugElement) {
|
101 |
+
debugElement.textContent += '\n\nResponse: ' + responseText;
|
102 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
103 |
|
104 |
+
let data;
|
105 |
try {
|
106 |
+
data = JSON.parse(responseText);
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
107 |
} catch (error) {
|
108 |
+
throw new Error('Invalid JSON response from server');
|
109 |
+
}
|
110 |
+
|
111 |
+
if (!data.translated_text && !data.success) {
|
112 |
+
throw new Error(data.error || 'No translation returned');
|
113 |
+
}
|
114 |
+
|
115 |
+
// Show the result
|
116 |
+
const resultBox = document.getElementById('text-result');
|
117 |
+
const outputElement = document.getElementById('text-output');
|
118 |
+
if (resultBox && outputElement) {
|
119 |
+
outputElement.textContent = data.translated_text;
|
120 |
+
resultBox.style.display = 'block';
|
121 |
+
}
|
122 |
+
})
|
123 |
+
.catch(function(error) {
|
124 |
+
showError(error.message);
|
125 |
+
console.error('Translation error:', error);
|
126 |
+
})
|
127 |
+
.finally(function() {
|
128 |
+
// Hide loading indicator
|
129 |
+
if (loadingElement) {
|
130 |
+
loadingElement.style.display = 'none';
|
131 |
}
|
132 |
});
|
|
|
|
|
133 |
}
|
134 |
+
|
135 |
+
// Function to handle document translation
|
136 |
+
function handleDocTranslation(event) {
|
137 |
+
event.preventDefault();
|
138 |
+
console.log('Document translation form submitted');
|
139 |
+
|
140 |
+
// Clear previous results and errors
|
141 |
+
hideElement('doc-result');
|
142 |
+
hideElement('error-message');
|
143 |
+
|
144 |
+
// Get form elements
|
145 |
+
const fileInput = document.getElementById('doc-input');
|
146 |
+
const loadingIndicator = document.getElementById('doc-loading');
|
147 |
+
|
148 |
+
if (!fileInput || !fileInput.files || fileInput.files.length === 0) {
|
149 |
+
showError('Please select a document to upload');
|
150 |
+
return;
|
151 |
+
}
|
152 |
+
|
153 |
+
// Show loading indicator
|
154 |
+
if (loadingIndicator) {
|
155 |
+
loadingIndicator.style.display = 'block';
|
156 |
+
}
|
157 |
+
|
158 |
+
// Create form data
|
159 |
+
const formData = new FormData(docTranslationForm);
|
160 |
+
|
161 |
+
// Make API request
|
162 |
+
fetch('/translate/document', {
|
163 |
+
method: 'POST',
|
164 |
+
body: formData
|
165 |
+
})
|
166 |
+
.then(function(response) {
|
167 |
+
if (!response.ok) {
|
168 |
+
throw new Error(`Server returned ${response.status}`);
|
169 |
+
}
|
170 |
+
return response.json();
|
171 |
+
})
|
172 |
+
.then(function(data) {
|
173 |
+
if (!data.translated_text) {
|
174 |
+
throw new Error('No translation returned');
|
175 |
+
}
|
176 |
|
177 |
+
// Display result
|
178 |
+
const resultBox = document.getElementById('doc-result');
|
179 |
+
const outputEl = document.getElementById('doc-output');
|
180 |
+
const filenameEl = document.getElementById('doc-filename');
|
181 |
+
const sourceLangEl = document.getElementById('doc-source-lang');
|
182 |
+
|
183 |
+
if (resultBox && outputEl) {
|
184 |
+
if (filenameEl) filenameEl.textContent = data.original_filename || 'N/A';
|
185 |
+
if (sourceLangEl) sourceLangEl.textContent = data.detected_source_lang || 'N/A';
|
186 |
+
outputEl.textContent = data.translated_text;
|
187 |
+
resultBox.style.display = 'block';
|
188 |
+
}
|
189 |
+
})
|
190 |
+
.catch(function(error) {
|
191 |
+
showError(error.message);
|
192 |
+
})
|
193 |
+
.finally(function() {
|
194 |
+
if (loadingIndicator) {
|
195 |
+
loadingIndicator.style.display = 'none';
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
196 |
}
|
197 |
});
|
198 |
+
}
|
199 |
+
|
200 |
+
// Helper function to show errors
|
201 |
+
function showError(message) {
|
202 |
+
const errorDiv = document.getElementById('error-message');
|
203 |
+
if (errorDiv) {
|
204 |
+
errorDiv.textContent = 'Error: ' + message;
|
205 |
+
errorDiv.style.display = 'block';
|
206 |
+
}
|
207 |
+
console.error('Error:', message);
|
208 |
+
}
|
209 |
+
|
210 |
+
// Helper function to hide elements
|
211 |
+
function hideElement(id) {
|
212 |
+
const element = document.getElementById(id);
|
213 |
+
if (element) {
|
214 |
+
element.style.display = 'none';
|
215 |
+
}
|
216 |
}
|
217 |
});
|