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Parent(s):
85071eb
Debugging
Browse files
app.py
CHANGED
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@@ -8,14 +8,9 @@ import tempfile
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from gtts import gTTS
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import os
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# Device configuration
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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#
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SUPABASE_URL = "https://gptmdbhzblfybdnohqnh.supabase.co"
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SUPABASE_API_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
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# Load translation models
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model_en_to_indic = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-en-indic-1B", trust_remote_code=True).to(DEVICE)
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tokenizer_en_to_indic = AutoTokenizer.from_pretrained("ai4bharat/indictrans2-en-indic-1B", trust_remote_code=True)
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model_indic_to_en = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-indic-en-1B", trust_remote_code=True).to(DEVICE)
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@@ -24,18 +19,21 @@ tokenizer_indic_to_en = AutoTokenizer.from_pretrained("ai4bharat/indictrans2-ind
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ip = IndicProcessor(inference=True)
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asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
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def save_to_supabase(input_text, output_text, direction):
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if not input_text.strip() or not output_text.strip():
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return "Nothing to save."
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payload = {
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"timestamp": datetime.utcnow().isoformat(),
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"input_text": input_text,
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"output_text": output_text
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}
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headers = {
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"apikey": SUPABASE_API_KEY,
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"Authorization": f"Bearer {SUPABASE_API_KEY}",
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@@ -43,185 +41,119 @@ def save_to_supabase(input_text, output_text, direction):
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}
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try:
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response = requests.post(
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f"{SUPABASE_URL}/rest/v1/{table_name}",
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headers=headers,
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json=payload,
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timeout=10
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)
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return "✅ Saved successfully!" if response.status_code == 201 else "❌ Failed to save."
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except Exception as e:
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print("
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return "❌ Save
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def get_translation_history(direction="en_to_ks"):
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table_name = "translations" if direction == "en_to_ks" else "ks_to_en_translations"
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headers = {
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"apikey": SUPABASE_API_KEY,
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"Authorization": f"Bearer {SUPABASE_API_KEY}"
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}
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try:
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)
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if response.status_code == 200:
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records = response.json()
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return "\n\n".join(
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[f"Input: {r['input_text']} → Output: {r['output_text']}" for r in records]
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)
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return "Failed to load history."
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except Exception as e:
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print("
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return "Error loading history."
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def translate(text, direction):
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if not text.strip():
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return "
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if direction == "en_to_ks":
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src_lang = "eng_Latn"
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model = model_en_to_indic
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tokenizer = tokenizer_en_to_indic
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else:
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src_lang = "kas_Arab"
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model = model_indic_to_en
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tokenizer = tokenizer_indic_to_en
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try:
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with torch.no_grad():
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num_return_sequences=1
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)
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translated = tokenizer.batch_decode(outputs, skip_special_tokens=True)
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result = ip.postprocess_batch(translated, lang=tgt_lang)[0]
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return result, gr.update(), gr.update()
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except Exception as e:
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print("Translation
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return "⚠️ Translation failed.", gr.update(), gr.update()
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def
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try:
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except Exception as e:
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print("
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return
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tts.save(tmp_file.name)
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tmp_file.close()
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return tmp_file.name
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except Exception as e:
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print("TTS Error:", e)
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return None
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def switch_direction(direction, input_text_val, output_text_val):
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new_direction = "ks_to_en" if direction == "en_to_ks" else "en_to_ks"
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input_label = "Kashmiri Text" if new_direction == "ks_to_en" else "English Text"
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output_label = "English Translation" if new_direction == "ks_to_en" else "Kashmiri Translation"
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return (
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new_direction,
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gr.update(value=output_text_val, label=input_label),
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gr.update(value=input_text_val, label=output_label)
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)
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def handle_audio_translation(audio_path, direction):
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if direction == "en_to_ks":
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transcription = transcribe_audio(audio_path)
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if transcription.startswith("⚠️"):
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return transcription, "", "", None
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translation, _, _ = translate(transcription, direction)
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return transcription, translation, transcription, None
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else:
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# Assume audio_path is not used; rely on text in the input box
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transcription = transcribe_audio(audio_path)
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translation, _, _ = translate(transcription, direction)
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tts_audio = synthesize_tts(translation, direction)
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return transcription, translation, transcription, tts_audio
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# === Gradio Interface ===
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with gr.Blocks() as interface:
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gr.HTML(""
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<div style="display: flex; justify-content: space-between; align-items: center; padding: 10px;">
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<img src="https://raw.githubusercontent.com/BurhaanRasheedZargar/Images/211321a234613a9c3dd944fe9367cf13d1386239/assets/left_logo.png" style="height:150px; width:auto;">
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<h2 style="margin: 0; text-align: center;">English ↔ Kashmiri Translator</h2>
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<img src="https://raw.githubusercontent.com/BurhaanRasheedZargar/Images/77797f7f7cbee328fa0f9d31cf3e290441e04cd3/assets/right_logo.png">
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</div>
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""")
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translation_direction = gr.State(value="en_to_ks")
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with gr.Row():
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input_text = gr.Textbox(
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output_text = gr.Textbox(
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with gr.Row():
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translate_button = gr.Button("Translate")
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save_button = gr.Button("Save Translation")
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switch_button = gr.Button("Switch")
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save_status = gr.Textbox(label="Save Status", interactive=False)
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with gr.Row():
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audio_input = gr.Audio(type="filepath", label="🎙️
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audio_output = gr.Audio(label="🔊 English
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# Events
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translate_button.click(
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).then(
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fn=get_translation_history,
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inputs=translation_direction,
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outputs=history_box
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)
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switch_button.click(
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fn=switch_direction,
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inputs=[translation_direction, input_text, output_text],
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outputs=[translation_direction, input_text, output_text]
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)
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stt_translate_button.click(
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fn=handle_audio_translation,
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inputs=[audio_input, translation_direction],
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outputs=[input_text, output_text, input_text, audio_output]
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)
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if __name__ == "__main__":
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interface.queue().launch(
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from gtts import gTTS
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import os
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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# Load models
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model_en_to_indic = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-en-indic-1B", trust_remote_code=True).to(DEVICE)
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tokenizer_en_to_indic = AutoTokenizer.from_pretrained("ai4bharat/indictrans2-en-indic-1B", trust_remote_code=True)
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model_indic_to_en = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-indic-en-1B", trust_remote_code=True).to(DEVICE)
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ip = IndicProcessor(inference=True)
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asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
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# --- Supabase settings ---
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SUPABASE_URL = "https://gptmdbhzblfybdnohqnh.supabase.co"
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SUPABASE_API_KEY = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
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# --- Supabase utilities ---
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def save_to_supabase(input_text, output_text, direction):
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if not input_text.strip() or not output_text.strip():
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return "Nothing to save."
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table = "translations" if direction == "en_to_ks" else "ks_to_en_translations"
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payload = {
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"timestamp": datetime.utcnow().isoformat(),
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"input_text": input_text,
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"output_text": output_text
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}
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headers = {
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"apikey": SUPABASE_API_KEY,
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"Authorization": f"Bearer {SUPABASE_API_KEY}",
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}
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try:
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response = requests.post(f"{SUPABASE_URL}/rest/v1/{table}", json=payload, headers=headers)
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return "✅ Saved successfully!" if response.status_code == 201 else "❌ Failed to save."
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except Exception as e:
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print("Save error:", e)
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return "❌ Save error."
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def get_translation_history(direction):
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table = "translations" if direction == "en_to_ks" else "ks_to_en_translations"
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headers = {
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"apikey": SUPABASE_API_KEY,
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"Authorization": f"Bearer {SUPABASE_API_KEY}"
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}
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try:
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res = requests.get(f"{SUPABASE_URL}/rest/v1/{table}?order=timestamp.desc&limit=10", headers=headers)
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if res.status_code == 200:
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data = res.json()
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return "\n\n".join([f"Input: {r['input_text']} → Output: {r['output_text']}" for r in data])
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return "Failed to load history."
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except Exception as e:
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print("History error:", e)
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return "Error loading history."
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# --- Translation ---
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def translate(text, direction):
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if not text.strip():
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return "Enter some text.", gr.update(), gr.update()
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if direction == "en_to_ks":
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src_lang, tgt_lang = "eng_Latn", "kas_Arab"
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model, tokenizer = model_en_to_indic, tokenizer_en_to_indic
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else:
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src_lang, tgt_lang = "kas_Arab", "eng_Latn"
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model, tokenizer = model_indic_to_en, tokenizer_indic_to_en
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try:
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batch = ip.preprocess_batch([text], src_lang=src_lang, tgt_lang=tgt_lang)
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tokens = tokenizer(batch, return_tensors="pt", padding=True).to(DEVICE)
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with torch.no_grad():
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output = model.generate(**tokens, max_length=256, num_beams=5)
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result = tokenizer.batch_decode(output, skip_special_tokens=True)
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final = ip.postprocess_batch(result, lang=tgt_lang)[0]
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return final, gr.update(), gr.update()
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except Exception as e:
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print("Translation error:", e)
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return "⚠️ Translation failed.", gr.update(), gr.update()
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# --- TTS for English output only ---
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def synthesize_tts(text):
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try:
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tts = gTTS(text=text, lang="en")
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
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tts.save(f.name)
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return f.name
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except Exception as e:
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print("TTS error:", e)
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return None
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# --- STT only for en_to_ks ---
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def handle_audio_translation(audio_path, direction):
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if direction != "en_to_ks":
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return "⚠️ Audio input is only supported for English to Kashmiri.", "", "", None
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try:
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transcription = asr(audio_path)["text"]
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except Exception as e:
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print("STT error:", e)
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return "⚠️ Transcription failed.", "", "", None
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translated, _, _ = translate(transcription, direction)
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return transcription, translated, transcription, None
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# --- Switch UI direction ---
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def switch_direction(direction, input_text_val, output_text_val):
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new_direction = "ks_to_en" if direction == "en_to_ks" else "en_to_ks"
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input_label = "Kashmiri Text" if new_direction == "ks_to_en" else "English Text"
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output_label = "English Translation" if new_direction == "ks_to_en" else "Kashmiri Translation"
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return new_direction, gr.update(value=output_text_val, label=input_label), gr.update(value=input_text_val, label=output_label)
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# === Gradio Interface ===
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with gr.Blocks() as interface:
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gr.HTML("<h2 style='text-align:center;'>English ↔ Kashmiri Translator</h2>")
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translation_direction = gr.State(value="en_to_ks")
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with gr.Row():
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input_text = gr.Textbox(label="English Text", placeholder="Enter text here...")
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output_text = gr.Textbox(label="Kashmiri Translation", placeholder="Translated text...")
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with gr.Row():
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translate_button = gr.Button("Translate")
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save_button = gr.Button("Save Translation")
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switch_button = gr.Button("Switch Direction")
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save_status = gr.Textbox(label="Save Status", interactive=False)
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history = gr.Textbox(label="Translation History", lines=8, interactive=False)
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with gr.Row():
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audio_input = gr.Audio(type="filepath", label="🎙️ Record English audio")
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audio_output = gr.Audio(label="🔊 English TTS")
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stt_button = gr.Button("🎤 Transcribe & Translate (EN → KS Only)")
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# Events
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translate_button.click(fn=translate, inputs=[input_text, translation_direction], outputs=[output_text, input_text, output_text])
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save_button.click(fn=save_to_supabase, inputs=[input_text, output_text, translation_direction], outputs=save_status)\
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| 150 |
+
.then(fn=get_translation_history, inputs=translation_direction, outputs=history)
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| 151 |
+
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| 152 |
+
switch_button.click(fn=switch_direction, inputs=[translation_direction, input_text, output_text],
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| 153 |
+
outputs=[translation_direction, input_text, output_text])
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| 154 |
+
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| 155 |
+
stt_button.click(fn=handle_audio_translation, inputs=[audio_input, translation_direction],
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| 156 |
+
outputs=[input_text, output_text, input_text, audio_output])
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| 157 |
|
| 158 |
if __name__ == "__main__":
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| 159 |
+
interface.queue().launch()
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