init make recipe from ingredients

main.py

@@ -1 +1,6 @@
-print("Hello, World!")
+# main.py
+from fastapi import FastAPI
+from router import test_router
+
+app = FastAPI()
+app.include_router(test_router.router)

router/test_router.py

@@ -0,0 +1,104 @@
+from fastapi import APIRouter
+import base64
+from openai import OpenAI
+
+client = OpenAI()
+router = APIRouter()
+
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        return base64.b64encode(image_file.read()).decode('utf-8')
+
+def encode_frame(frame):
+    return base64.b64encode(frame).decode('utf-8')
+
+def encode_images(image_paths, frames=False):
+    if frames is True:
+        return [f"data:image/jpeg;base64,{encode_frame(synthesized_frame)}" for synthesized_frame in image_paths]
+    return [f"data:image/jpeg;base64,{encode_image(image_path)}" for image_path in image_paths]
+
+def test_gpt():
+    return chatgpt("What is the meaning of life?")
+
+def chatgpt(query, model="gpt-4-1106-preview"):
+    response = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": query,
+                }
+            ],
+            model=model
+        )
+
+    response = response.choices[0].message.content
+    return response
+
+@router.post("/recipe")
+def recipe(data):
+    client = OpenAI()
+    model="gpt-4-1106-preview"
+    response = client.chat.completions.create(
+        model=model,
+        messages=[
+            {
+                "role": "user",
+                "content": data
+            }
+        ],
+        max_tokens=300,
+    )
+
+    return response.choices[0].message.content
+
+
+@router.post("/ingredients")
+def ingredients():
+    client = OpenAI()
+
+    response = client.chat.completions.create(
+        model="gpt-4-vision-preview",
+        messages=[
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "What’s in this image?"},
+                    {
+                        "type": "image_url",
+                        "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
+                    },
+                ],
+            }
+        ],
+        max_tokens=300,
+    )
+
+    return response.choices[0].message.content
+
+
+def vision_api(images, prompt):
+    content = [{
+        "type": "text",
+        "text": prompt
+    }]
+    for image in images:
+        content.append({
+            "type": "image_url",
+            "image_url": image
+        })
+    response = client.chat.completions.create(
+        model="gpt-4-vision-preview",
+        messages=[
+            {
+                "role": "user",
+                "content": content,
+            }
+        ],
+        max_tokens=1000,
+    )
+    return response.choices[0].message.content
+
+
+if __name__ == "__main__":
+    response = test_gpt()
+    print(response)

start.py

@@ -0,0 +1,4 @@
+import uvicorn
+
+if __name__ == "__main__":
+    uvicorn.run("main:app", port=7001, reload=True)