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import os
import cohere.core
import instructor
import cohere
import instructor
from pydantic import BaseModel, Field
from typing import List, Dict
from pydantic import BaseModel
class Scene(BaseModel):
narration: str
image_prompts: List[str]
class VideoOutput(BaseModel):
scenes: List[Scene]
# Patching the Cohere client with the instructor for enhanced capabilities
client = instructor.from_cohere(
cohere.Client(os.environ.get("COHERE_API", "RANDOM_STRING")),
max_tokens=5000,
model="command-r-plus",
)
# Now, we can use the response_model parameter using only a base model
# rather than having to use the OpenAISchema class
def chatbot(prompt: str, model: str = "command-r-plus"):
response: VideoOutput = client.chat.completions.create(
model=model,
max_tokens=5000,
response_model=VideoOutput,
messages=[
{
"role": "user",
"content": prompt,
},
],
)
return response.dict()
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