init

app.py

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+import gradio as gr
+import requests
+import json
+import os
+import dwani
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Configure dwani API settings
+dwani.api_key = os.getenv("DWANI_API_KEY")
+dwani.api_base = os.getenv("DWANI_API_BASE_URL")
+
+# Log API configuration for debugging
+logger.debug("DWANI_API_KEY: %s", "Set" if dwani.api_key else "Not set")
+logger.debug("DWANI_API_BASE_URL: %s", dwani.api_base)
+
+# List of supported languages
+LANGUAGES = [
+    "Assamese", "Punjabi",
+    "Bengali", "Malayalam ", 
+    "English", "Marathi ", "Tamil",
+    "Gujarati", "Telugu ",
+    "Hindi", "Kannada", "Odia "
+]
+
+def translate_api(sentences, src_lang, tgt_lang):
+    logger.debug("Received inputs - Sentences: %s, Source Lang: %s, Target Lang: %s", sentences, src_lang, tgt_lang)
+    
+    # Convert simple string input to list
+    try:
+        if isinstance(sentences, str):
+            # Split on commas and strip whitespace
+            sentences = [s.strip() for s in sentences.split(",") if s.strip()]
+        elif isinstance(sentences, list):
+            # Ensure all elements are strings and non-empty
+            sentences = [s.strip() for s in sentences if isinstance(s, str) and s.strip()]
+        else:
+            logger.error("Invalid input type for sentences: %s", type(sentences))
+            return {"error": "Invalid input: sentences must be a string or list of strings"}
+    except Exception as e:
+        logger.error("Error processing sentences input: %s", str(e))
+        return {"error": f"Error processing input: {str(e)}"}
+    
+    # Validate sentences content
+    if not sentences:
+        logger.error("No valid sentences provided: %s", sentences)
+        return {"error": "Please provide at least one non-empty sentence"}
+    
+    # Extract language codes
+    src_lang_code = (src_lang)
+    tgt_lang_code = (tgt_lang)
+    
+    if not src_lang_code or not tgt_lang_code:
+        logger.error("Invalid language codes - Source: %s, Target: %s", src_lang_code, tgt_lang_code)
+        return {"error": "Invalid source or target language selection"}
+    
+    logger.debug("Calling API with sentences: %s, src_lang: %s, tgt_lang: %s", sentences, src_lang_code, tgt_lang_code)
+    
+    # Call the API
+    try:
+        result = dwani.Translate.run_translate(sentences=sentences, src_lang=src_lang_code, tgt_lang=tgt_lang_code)
+        logger.debug("API response: %s", result)
+        return result
+    except dwani.exceptions.DhwaniAPIError as e:
+        logger.error("Dhwani API error: %s", str(e))
+        return {"error": f"API error: {str(e)}"}
+    except Exception as e:
+        logger.error("Unexpected error: %s", str(e))
+        return {"error": f"Unexpected error: {str(e)}"}
+
+# Create Gradio interface
+with gr.Blocks(title="Translation API Interface") as demo:
+    gr.Markdown("# Translation API Interface")
+    gr.Markdown("Enter one or more sentences (separated by commas) and select languages to translate.")
+    
+    with gr.Row():
+        with gr.Column():
+            # Input components
+            sentences_input = gr.Textbox(
+                label="Sentences",
+                placeholder="Enter your sentence (e.g., Hello, Good morning)",
+                lines=3,
+                value="Hi"
+            )
+            src_lang_input = gr.Dropdown(
+                label="Source Language",
+                choices=LANGUAGES,
+                value="English"
+            )
+            tgt_lang_input = gr.Dropdown(
+                label="Target Language",
+                choices=LANGUAGES,
+                value="Kannada"
+            )
+            
+            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__":
+    # Test API configuration
+    if not dwani.api_key or not dwani.api_base:
+        logger.error("API key or base URL not set. Please set DWANI_API_KEY and DWANI_API_BASE_URL environment variables.")
+        print("Error: Please set DWANI_API_KEY and DWANI_API_BASE_URL environment variables.")
+    else:
+        logger.debug("Starting Gradio interface...")
+        demo.launch()

requirements.txt

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+gradio
+dwani