Add language list

README.md

@@ -51,6 +51,10 @@ Learn more about Sarvam-Translate in our detailed [blog post](https://www.sarvam
 - **Versatile Format Handling**: Processes a wide array of input formats, including markdown, digitized content (handling OCR errors), documents with embedded math and chemistry equations, and code files (translating only comments).
 - **Context-Aware & Inclusive**: Engineered to respect different contexts, formats, styles (formal/informal), and ensure inclusivity (e.g., appropriate gender attribution).
 
+## Supported languages list
+
+`Assamese`, `Bengali`, `Bodo`, `Dogri`, `Gujarati`, `English`, `Hindi`, `Kannada`, `Kashmiri`, `Konkani`, `Maithili`, `Malayalam`, `Manipuri`, `Marathi`, `Nepali`, `Odia`, `Punjabi`, `Sanskrit`, `Santali`, `Sindhi`, `Tamil`, `Telugu`, `Urdu`
+
 ## Quickstart
 The following code snippet demonstrates how to use Sarvam-Translate using Transformers.
 ```python
@@ -125,10 +129,10 @@ model = models.data[0].id
 
 tgt_lang = 'Hindi'
 input_txt = 'Be the change you wish to see in the world.'
-messages = [{"role": "system", "content": f"Translate the text below to {tgt_lang}"}, {"role": "user", "content": input_txt}]
+messages = [{"role": "system", "content": f"Translate the text below to {tgt_lang}."}, {"role": "user", "content": input_txt}]
 
 
-response = client.chat.completions.create(model=model, messages=messages)
+response = client.chat.completions.create(model=model, messages=messages, temperature=0.01)
 output_text = response.choices[0].message.content
 
 print("Input:", input_txt)