0.3.0.4

1 files changed, 22 insertions, 11 deletions

diff --git a/g4f/Provider/DeepInfra.py b/g4f/Provider/DeepInfra.py
index 971424b7..35ff84a1 100644
--- a/g4f/Provider/DeepInfra.py
+++ b/g4f/Provider/DeepInfra.py
@@ -1,17 +1,22 @@
 from __future__ import annotations
 
 import requests
-from ..typing import AsyncResult, Messages
+from ..typing import AsyncResult, Messages, ImageType
+from ..image import to_data_uri
 from .needs_auth.Openai import Openai
 
 class DeepInfra(Openai):
     label = "DeepInfra"
     url = "https://deepinfra.com"
     working = True
-    needs_auth = False
+    has_auth = True
     supports_stream = True
     supports_message_history = True
-    default_model = 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1'
+    default_model = "meta-llama/Meta-Llama-3-70b-instruct"
+    default_vision_model = "llava-hf/llava-1.5-7b-hf"
+    model_aliases = {
+        'mixtral-8x22b': 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1'
+    }
 
     @classmethod
     def get_models(cls):
@@ -27,19 +32,12 @@ class DeepInfra(Openai):
         model: str,
         messages: Messages,
         stream: bool,
+        image: ImageType = None,
         api_base: str = "https://api.deepinfra.com/v1/openai",
         temperature: float = 0.7,
         max_tokens: int = 1028,
         **kwargs
     ) -> AsyncResult:
-        
-        if not '/' in model:
-            models = {
-                'mixtral-8x22b': 'HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1',
-                'dbrx-instruct': 'databricks/dbrx-instruct',
-            }
-            model = models.get(model, model)
-        
         headers = {
             'Accept-Encoding': 'gzip, deflate, br',
             'Accept-Language': 'en-US',
@@ -55,6 +53,19 @@ class DeepInfra(Openai):
             'sec-ch-ua-mobile': '?0',
             'sec-ch-ua-platform': '"macOS"',
         }
+        if image is not None:
+            if not model:
+                model = cls.default_vision_model
+            messages[-1]["content"] = [
+                {
+                    "type": "image_url",
+                    "image_url": {"url": to_data_uri(image)}
+                },
+                {
+                    "type": "text",
+                    "text": messages[-1]["content"]
+                }
+            ]
         return super().create_async_generator(
             model, messages,
             stream=stream,