LLM Templates - Created vision_gpt_explain_image llm application

agenta-web/src/components/AppSelector/modals/CreateAppStatusModal.tsx

@@ -196,8 +196,8 @@ const CreateAppStatusModal: React.FC<Props & React.ComponentProps<typeof Modal>>
                                 type === "success"
                                     ? "success"
                                     : type === "error"
-                                      ? "danger"
-                                      : "secondary"
+                                    ? "danger"
+                                    : "secondary"
                             }
                             strong={Object.keys(messages)[ix] === "success"}
                         >

examples/vision_gpt_explain_image/app.py

@@ -0,0 +1,50 @@
+import agenta as ag
+from openai import OpenAI
+
+
+client = OpenAI()
+
+
+SYSTEM_PROMPT = "You are an expert in reading images you look into details, you answer in accurate language."
+HUMAN_PROMPT = "Please compare two images"
+
+ag.init(app_name="explain_image", base_name="app")
+ag.config.default(
+    temperature=ag.FloatParam(0.5, 0, 1),
+    max_tokens=ag.IntParam(300, 1, 4000),
+    prompt_system=ag.TextParam(SYSTEM_PROMPT),
+    prompt_human=ag.TextParam(HUMAN_PROMPT),
+)
+
+
+@ag.entrypoint
+def explain(
+    image_one: ag.FileInputURL,
+    image_two: ag.FileInputURL,
+) -> str:
+    messages = [{"role": "system", "content": ag.config.prompt_system}] + [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": ag.config.prompt_human},
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": image_one,
+                    },
+                },
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": image_two,
+                    },
+                },
+            ],
+        }
+    ]
+    chat_completion = client.chat.completions.create(
+        model="gpt-4-vision-preview",
+        messages=messages,
+        max_tokens=max_tokens,
+    )
+    return chat_completion.choices[0].message.content

examples/vision_gpt_explain_image/requirements.txt

@@ -0,0 +1,2 @@
+agenta
+openai