cleanup continues

src/dailyai/services/azure_ai_services.py

@@ -5,7 +5,6 @@ import json
 from openai import AsyncAzureOpenAI
 
 import os
-import requests
 
 from collections.abc import AsyncGenerator
 
@@ -16,7 +15,10 @@ from PIL import Image
 from azure.cognitiveservices.speech import SpeechSynthesizer, SpeechConfig, ResultReason, CancellationReason
 
 class AzureTTSService(TTSService):
-    def __init__(self, speech_key=None, speech_region=None):
+
+    def __init__(
+        self, speech_key=None, speech_region=None, voice_name="en-US-SaraNeural"
+    ):
         super().__init__()
 
         speech_key = speech_key or os.getenv("AZURE_SPEECH_SERVICE_KEY")
@@ -25,11 +27,13 @@ class AzureTTSService(TTSService):
         self.speech_config = SpeechConfig(subscription=speech_key, region=speech_region)
         self.speech_synthesizer = SpeechSynthesizer(speech_config=self.speech_config, audio_config=None)
 
+        self.voice_name = voice_name
+
     async def run_tts(self, sentence) -> AsyncGenerator[bytes, None]:
         self.logger.info("Running azure tts")
-        ssml = "<speak version='1.0' xml:lang='en-US' xmlns='http://www.w3.org/2001/10/synthesis' " \
+        ssml = f"<speak version='1.0' xml:lang='en-US' xmlns='http://www.w3.org/2001/10/synthesis' " \
            "xmlns:mstts='http://www.w3.org/2001/mstts'>" \
-           "<voice name='en-US-SaraNeural'>" \
+           f"<voice name={self.voice_name}>" \
            "<mstts:silence type='Sentenceboundary' value='20ms' />" \
            "<mstts:express-as style='lyrical' styledegree='2' role='SeniorFemale'>" \
            "<prosody rate='1.05'>" \
@@ -92,13 +96,25 @@ class AzureLLMService(LLMService):
 
 class AzureImageGenServiceREST(ImageGenService):
 
-    def __init__(self, image_size:str, api_key=None, azure_endpoint=None, api_version=None, model=None, aiohttp_client_session=None):
+    def __init__(
+        self,
+        image_size: str,
+        api_key: str | None = None,
+        azure_endpoint: str | None = None,
+        api_version: str | None = None,
+        model: str | None = None,
+        aiohttp_session: aiohttp.ClientSession | None=None,
+        timeout_seconds=120,
+    ):
         super().__init__(image_size=image_size)
         self.api_key = api_key or os.getenv("AZURE_DALLE_KEY")
         self.azure_endpoint = azure_endpoint or os.getenv("AZURE_DALLE_ENDPOINT")
         self.api_version = api_version or "2023-06-01-preview"
         self.model = model or os.getenv("AZURE_DALLE_DEPLOYMENT_ID")
-        self.aiohttp_client_session = aiohttp_client_session or aiohttp.ClientSession()
+        self.aiohttp_session: aiohttp.ClientSession = (
+            aiohttp_session or aiohttp.ClientSession()
+        )
+        self.timeout_seconds = timeout_seconds
 
     async def run_image_gen(self, sentence) -> tuple[str, bytes]:
         url = f"{self.azure_endpoint}openai/images/generations:submit?api-version={self.api_version}"
@@ -108,13 +124,13 @@ class AzureImageGenServiceREST(ImageGenService):
             "size": self.image_size,
             "n": 1,
         }
-        async with self.aiohttp_client_session.post(
+        async with self.aiohttp_session.post(
             url, headers=headers, json=body
         ) as submission:
             operation_location = submission.headers['operation-location']
 
             status = ""
-            attempts_left = 120
+            attempts_left = self.timeout_seconds
             json_response = None
             while status != "succeeded":
                 attempts_left -= 1
@@ -122,7 +138,7 @@ class AzureImageGenServiceREST(ImageGenService):
                     raise Exception("Image generation timed out")
 
                 await asyncio.sleep(1)
-                response = await self.aiohttp_client_session.get(operation_location, headers=headers)
+                response = await self.aiohttp_session.get(operation_location, headers=headers)
                 json_response = await response.json()
                 status = json_response["status"]
 
@@ -131,7 +147,7 @@ class AzureImageGenServiceREST(ImageGenService):
                 raise Exception("Image generation failed")
 
             # Load the image from the url
-            async with self.aiohttp_client_session.get(image_url) as response:
+            async with self.aiohttp_session.get(image_url) as response:
                 image_stream = io.BytesIO(await response.content.read())
                 image = Image.open(image_stream)
                 return (image_url, image.tobytes())

src/dailyai/services/elevenlabs_ai_service.py

@@ -9,28 +9,30 @@ from dailyai.services.ai_services import TTSService
 
 
 class ElevenLabsTTSService(TTSService):
-    def __init__(self, api_key=None, voice_id=None):
+    def __init__(self, api_key=None, voice_id=None, aiohttp_session:aiohttp.ClientSession=None):
         super().__init__()
 
         self.api_key = api_key or os.getenv("ELEVENLABS_API_KEY")
         self.voice_id = voice_id or os.getenv("ELEVENLABS_VOICE_ID")
+        self.aiohttp_session = aiohttp_session or aiohttp.ClientSession()
 
     async def run_tts(self, sentence) -> AsyncGenerator[bytes, None]:
-        async with aiohttp.ClientSession() as session:
+        url = f"https://api.elevenlabs.io/v1/text-to-speech/{self.voice_id}/stream"
-            url = f"https://api.elevenlabs.io/v1/text-to-speech/{self.voice_id}/stream"
+        payload = {"text": sentence, "model_id": "eleven_turbo_v2"}
-            payload = {"text": sentence, "model_id": "eleven_turbo_v2"}
+        querystring = {"output_format": "pcm_16000", "optimize_streaming_latency": 2}
-            querystring = {"output_format": "pcm_16000", "optimize_streaming_latency": 2}
+        headers = {
-            headers = {
+            "xi-api-key": self.api_key,
-                "xi-api-key": self.api_key,
+            "Content-Type": "application/json",
-                "Content-Type": "application/json",
+        }
-            }
+        async with self.aiohttp_session.post(
-            async with session.post(url, json=payload, headers=headers, params=querystring) as r:
+            url, json=payload, headers=headers, params=querystring
-                if r.status != 200:
+        ) as r:
-                    self.logger.error(
+            if r.status != 200:
-                        f"audio fetch status code: {r.status}, error: {r.text}"
+                self.logger.error(
-                    )
+                    f"audio fetch status code: {r.status}, error: {r.text}"
-                    return
+                )
+                return
 
-                async for chunk in r.content:
+            async for chunk in r.content:
-                    if chunk:
+                if chunk:
-                        yield chunk
+                    yield chunk

src/dailyai/services/fal_ai_services.py

@@ -34,9 +34,9 @@ class FalImageGenService(ImageGenService):
                 raise Exception("Image generation failed")
 
             return image_url
-        print(f"fetching image url...")
+        print("fetching image url...")
         image_url = await asyncio.to_thread(get_image_url, sentence, self.image_size)
-        print(f"got image url, downloading image...")
+        print("got image url, downloading image...")
         # Load the image from the url
         async with aiohttp.ClientSession() as session:
             async with session.get(image_url) as response:

src/dailyai/services/open_ai_services.py

@@ -1,6 +1,4 @@
-import requests
 import aiohttp
-import asyncio
 from PIL import Image
 import io
 from openai import AsyncOpenAI
@@ -9,7 +7,7 @@ import os
 import json
 from collections.abc import AsyncGenerator
 
-from dailyai.services.ai_services import AIService, TTSService, LLMService, ImageGenService
+from dailyai.services.ai_services import LLMService, ImageGenService
 
 
 class OpenAILLMService(LLMService):
@@ -50,11 +48,19 @@ class OpenAILLMService(LLMService):
             return None
 
 class OpenAIImageGenService(ImageGenService):
-    def __init__(self, image_size:str, api_key=None, model=None):
+
+    def __init__(
+        self,
+        image_size: str,
+        api_key=None,
+        model=None,
+        aiohttp_session: aiohttp.ClientSession | None = None,
+    ):
         super().__init__(image_size=image_size)
         api_key = api_key or os.getenv("OPEN_AI_KEY")
         self.model = model or os.getenv("OPEN_AI_IMAGE_MODEL") or "dall-e-3"
         self.client = AsyncOpenAI(api_key=api_key)
+        self.aiohttp_session=aiohttp_session or aiohttp.ClientSession()
 
     async def run_image_gen(self, sentence) -> tuple[str, bytes]:
         self.logger.info("Generating OpenAI image", sentence)
@@ -70,10 +76,7 @@ class OpenAIImageGenService(ImageGenService):
             raise Exception("No image provided in response", image)
 
         # Load the image from the url
-        async with aiohttp.ClientSession() as session:
+        async with self.aiohttp_session.get(image_url) as response:
-            async with session.get(image_url) as response:
+            image_stream = io.BytesIO(await response.content.read())
-                image_stream = io.BytesIO(await response.content.read())
+            image = Image.open(image_stream)
-                image = Image.open(image_stream)
+            return (image_url, image.tobytes())
-                return (image_url, image.tobytes())
-
-        return (image_url, dalle_im.tobytes())