3 files changed, 128 insertions, 31 deletions

diff --git a/g4f/Provider/Nexra.py b/g4f/Provider/Nexra.py
index 4914b930..e2c3e197 100644
--- a/g4f/Provider/Nexra.py
+++ b/g4f/Provider/Nexra.py
@@ -1,16 +1,19 @@
 from __future__ import annotations
 
 import json
+import base64
 from aiohttp import ClientSession
+from typing import AsyncGenerator
 
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..image import ImageResponse
 from .helper import format_prompt
 
-
 class Nexra(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://nexra.aryahcr.cc"
-    api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
+    api_endpoint_text = "https://nexra.aryahcr.cc/api/chat/gpt"
+    api_endpoint_image = "https://nexra.aryahcr.cc/api/image/complements"
     working = True
     supports_gpt_35_turbo = True
     supports_gpt_4 = True
@@ -20,34 +23,19 @@ class Nexra(AsyncGeneratorProvider, ProviderModelMixin):
     
     default_model = 'gpt-3.5-turbo'
     models = [
-        # Working with text
-        'gpt-4',
-        'gpt-4-0613',
-        'gpt-4-32k',
-        'gpt-4-0314',
-        'gpt-4-32k-0314',
-        
-        'gpt-3.5-turbo',
-        'gpt-3.5-turbo-16k',
-        'gpt-3.5-turbo-0613',
-        'gpt-3.5-turbo-16k-0613',
-        'gpt-3.5-turbo-0301',
-        
-        'gpt-3',
-        'text-davinci-003',
-        'text-davinci-002',
-        'code-davinci-002',
-        'text-curie-001',
-        'text-babbage-001',
-        'text-ada-001',
-        'davinci',
-        'curie',
-        'babbage',
-        'ada',
-        'babbage-002',
-        'davinci-002', 
+        # Text models
+        'gpt-4', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-0314', 'gpt-4-32k-0314',
+        'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301',
+        'gpt-3', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002',
+        'text-curie-001', 'text-babbage-001', 'text-ada-001',
+        'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002',
+        # Image models
+        'dalle', 'dalle-mini', 'emi'
     ]
     
+    image_models = {"dalle", "dalle-mini", "emi"}
+    text_models = set(models) - image_models
+    
     model_aliases = {
         "gpt-4": "gpt-4-0613",
         "gpt-4": "gpt-4-32k",
@@ -90,9 +78,24 @@ class Nexra(AsyncGeneratorProvider, ProviderModelMixin):
         messages: Messages,
         proxy: str = None,
         **kwargs
-    ) -> AsyncResult:
+    ) -> AsyncGenerator[str | ImageResponse, None]:
         model = cls.get_model(model)
         
+        if model in cls.image_models:
+            async for result in cls.create_image_async_generator(model, messages, proxy, **kwargs):
+                yield result
+        else:
+            async for result in cls.create_text_async_generator(model, messages, proxy, **kwargs):
+                yield result
+
+    @classmethod
+    async def create_text_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncGenerator[str, None]:
         headers = {
             "Content-Type": "application/json",
         }
@@ -104,8 +107,75 @@ class Nexra(AsyncGeneratorProvider, ProviderModelMixin):
                 "markdown": False,
                 "stream": False,
             }
-            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+            async with session.post(cls.api_endpoint_text, json=data, proxy=proxy) as response:
                 response.raise_for_status()
                 result = await response.text()
                 json_result = json.loads(result)
                 yield json_result["gpt"]
+
+    @classmethod
+    async def create_image_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncGenerator[ImageResponse | str, None]:
+        headers = {
+            "Content-Type": "application/json"
+        }
+
+        prompt = messages[-1]['content'] if messages else ""
+
+        data = {
+            "prompt": prompt,
+            "model": model
+        }
+
+        async def process_response(response_text: str) -> ImageResponse | None:
+            json_start = response_text.find('{')
+            if json_start != -1:
+                json_data = response_text[json_start:]
+                try:
+                    response_data = json.loads(json_data)
+                    image_data = response_data.get('images', [])[0]
+                    
+                    if image_data.startswith('data:image/'):
+                        return ImageResponse([image_data], "Generated image")
+                    
+                    try:
+                        base64.b64decode(image_data)
+                        data_uri = f"data:image/jpeg;base64,{image_data}"
+                        return ImageResponse([data_uri], "Generated image")
+                    except:
+                        print("Invalid base64 data")
+                        return None
+                except json.JSONDecodeError:
+                    print("Failed to parse JSON.")
+            else:
+                print("No JSON data found in the response.")
+            return None
+
+        async with ClientSession(headers=headers) as session:
+            async with session.post(cls.api_endpoint_image, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                response_text = await response.text()
+                
+                image_response = await process_response(response_text)
+                if image_response:
+                    yield image_response
+                else:
+                    yield "Failed to process image data."
+
+    @classmethod
+    async def create_async(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> str:
+        async for response in cls.create_async_generator(model, messages, proxy, **kwargs):
+            if isinstance(response, ImageResponse):
+                return response.images[0]
+            return response
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index 10499fdf..6488a814 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -12,7 +12,7 @@ from .needs_auth      import *
 from .AI365VIP         import AI365VIP
 from .Allyfy           import Allyfy
 from .AiChatOnline     import AiChatOnline
-from .AiChats     import AiChats
+from .AiChats          import AiChats
 from .Aura             import Aura
 from .Bing             import Bing
 from .BingCreateImages import BingCreateImages
diff --git a/g4f/models.py b/g4f/models.py
index d0cb9f49..456a2f38 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -461,6 +461,28 @@ flux_disney = Model(
     
 )
 
+### ###
+dalle = Model(
+    name = 'dalle',
+    base_provider = '',
+    best_provider = IterListProvider([Nexra])
+    
+)
+
+dalle_mini = Model(
+    name = 'dalle-mini',
+    base_provider = '',
+    best_provider = IterListProvider([Nexra])
+    
+)
+
+emi = Model(
+    name = 'emi',
+    base_provider = '',
+    best_provider = IterListProvider([Nexra])
+    
+)
+
 class ModelUtils:
     """
     Utility class for mapping string identifiers to Model instances.
@@ -617,6 +639,11 @@ class ModelUtils:
 'flux-3d': flux_3d,
 'flux-disney': flux_disney,
 
+
+###  ###
+'dalle': dalle,
+'dalle-mini': dalle_mini,
+'emi': emi,
     }
 
 _all_models = list(ModelUtils.convert.keys())