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58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
import instructor
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from pydantic import BaseModel
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import os
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class Description(BaseModel):
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relevant_speakers: list[str]
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summary: str
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curr_file = os.path.dirname(__file__)
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file_path = os.path.join(curr_file, "./test_files/sample.mp3")
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MODEL = os.getenv("GOOGLE_GENAI_MODEL", "google/gemini-pro")
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def test_audio_compatability_list():
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client = instructor.from_provider(
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model=MODEL, mode=instructor.Mode.GENAI_STRUCTURED_OUTPUTS
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)
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# For now, we'll skip file operations since the new API might handle them differently
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# This test might need to be updated based on the new google-genai file upload API
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content = "Please transcribe this recording: [audio file would go here]"
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result = client.chat.completions.create(
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response_model=Description,
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messages=[
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{"role": "user", "content": content},
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],
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)
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assert isinstance(result, Description), (
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"Result should be an instance of Description"
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)
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def test_audio_compatability_multiple_messages():
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client = instructor.from_provider(
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model=MODEL, mode=instructor.Mode.GENAI_STRUCTURED_OUTPUTS
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)
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# For now, we'll skip file operations since the new API might handle them differently
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# This test might need to be updated based on the new google-genai file upload API
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result = client.chat.completions.create(
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response_model=Description,
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messages=[
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{
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"role": "user",
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"content": "Please transcribe this recording: [audio file would go here]",
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},
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],
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)
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assert isinstance(result, Description), (
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"Result should be an instance of Description"
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)
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