import gradio as gr import requests import json # List of supported languages LANGUAGES = [ "Assamese (asm_Beng)", "Kashmiri (Arabic) (kas_Arab)", "Punjabi (pan_Guru)", "Bengali (ben_Beng)", "Kashmiri (Devanagari) (kas_Deva)", "Sanskrit (san_Deva)", "Bodo (brx_Deva)", "Maithili (mai_Deva)", "Santali (sat_Olck)", "Dogri (doi_Deva)", "Malayalam (mal_Mlym)", "Sindhi (Arabic) (snd_Arab)", "English (eng_Latn)", "Marathi (mar_Deva)", "Sindhi (Devanagari) (snd_Deva)", "Konkani (gom_Deva)", "Manipuri (Bengali) (mni_Beng)", "Tamil (tam_Taml)", "Gujarati (guj_Gujr)", "Manipuri (Meitei) (mni_Mtei)", "Telugu (tel_Telu)", "Hindi (hin_Deva)", "Nepali (npi_Deva)", "Urdu (urd_Arab)", "Kannada (kan_Knda)", "Odia (ory_Orya)" ] # Function to extract language code from selection def get_lang_code(lang_string): return lang_string.split("(")[-1].rstrip(")") def translate_api(sentences, src_lang, tgt_lang): import os # Get the base URL (IP or domain) from environment variable base_url = os.getenv("DWANI_AI_API_BASE_URL") if not base_url: raise ValueError("DWANI_AI_API_BASE_URL environment variable is not set") # Define the endpoint path endpoint = "/v1/translate" # Construct the full API URL url = f"{base_url.rstrip('/')}{endpoint}" headers = { "accept": "application/json", "Content-Type": "application/json" } # Convert sentences string to list if it's a string if isinstance(sentences, str): try: sentences_list = json.loads(sentences) except json.JSONDecodeError: sentences_list = [sentences] else: sentences_list = sentences payload = { "sentences": sentences_list, "src_lang": get_lang_code(src_lang), "tgt_lang": get_lang_code(tgt_lang) } try: response = requests.post(url, headers=headers, json=payload) response.raise_for_status() return response.json() except requests.exceptions.HTTPError as e: return {"error": f"HTTP Error: {str(e)}"} except requests.exceptions.RequestException as e: return {"error": f"Request Error: {str(e)}"} # Create Gradio interface with gr.Blocks(title="Translation API Interface") as demo: gr.Markdown("# Translation API Interface") gr.Markdown("Enter sentences and select languages to translate.") with gr.Row(): with gr.Column(): # Input components sentences_input = gr.Textbox( label="Sentences", placeholder='Enter sentences as JSON array or single sentence (e.g., ["Hello", "Good morning"] or "Hello")', lines=3, value='["Hi"]' ) src_lang_input = gr.Dropdown( label="Source Language", choices=LANGUAGES, value="English (eng_Latn)" ) tgt_lang_input = gr.Dropdown( label="Target Language", choices=LANGUAGES, value="Kannada (kan_Knda)" ) submit_btn = gr.Button("Translate") with gr.Column(): # Output component output = gr.JSON(label="Translation Response") # Connect the button click to the API function submit_btn.click( fn=translate_api, inputs=[sentences_input, src_lang_input, tgt_lang_input], outputs=output ) # Launch the interface if __name__ == "__main__": demo.launch()