translate and tts

sarvam.py

@@ -0,0 +1,62 @@
+import os
+
+import aiohttp
+from dotenv import load_dotenv
+
+load_dotenv()
+
+code_map = {
+    "hindi": "hi-IN",
+    "bengali": "bn-IN",
+    "kannada": "kn-IN",
+    "malayalam": "ml-IN",
+    "marathi": "mr-IN",
+    "odia": "od-IN",
+    "punjabi": "pa-IN",
+    "tamil": "ta-IN",
+    "telugu": "te-IN",
+    "english": "en-IN",
+    "gujarati": "gu-IN",
+}
+
+
+async def translator(text, src, dest):
+    async with aiohttp.ClientSession() as session:
+        url = "https://api.sarvam.ai/translate"
+
+        payload = {
+            "input": text,
+            "source_language_code": code_map[src],
+            "target_language_code": code_map[dest],
+            "speaker_gender": "Male",
+            "mode": "formal",
+            "model": "mayura:v1",
+            "enable_preprocessing": True,
+        }
+        headers = {"Content-Type": "application/json", "api-subscription-key": os.getenv("SARVAM_API_KEY")}
+        async with session.post(url, headers=headers, json=payload) as response:
+            if response.status == 200:
+                output = await response.text()
+                return output
+
+
+async def speaker(text, dest):
+    async with aiohttp.ClientSession() as session:
+        url = "https://api.sarvam.ai/text-to-speech"
+
+        payload = {
+            "inputs": [text],
+            "target_language_code": code_map[dest],
+            "speaker": "meera",
+            "pitch": 0,
+            "pace": 1.65,
+            "loudness": 1.5,
+            "speech_sample_rate": 8000,
+            "enable_preprocessing": True,
+            "model": "bulbul:v1",
+        }
+        headers = {"Content-Type": "application/json", "api-subscription-key": os.getenv("SARVAM_API_KEY")}
+        async with session.post(url, headers=headers, json=payload) as response:
+            if response.status == 200:
+                output = await response.read()
+                return output