Spaces:
Sleeping
Sleeping
fixed logs on chat report
Browse files
app.py
CHANGED
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@@ -111,7 +111,7 @@ def chat_with_report_endpoint(request: ChatWithReportRequest, x_api_key: str = H
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question=request.question,
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questions=request.questions
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)
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logger.info("Chat with report completed successfully.\nAnswer:\n
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return ChatWithReportResponse(answer=answer)
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if __name__ == "__main__": uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=False)
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question=request.question,
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questions=request.questions
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)
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logger.info(f"Chat with report completed successfully.\nAnswer:\n{answer}")
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return ChatWithReportResponse(answer=answer)
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if __name__ == "__main__": uvicorn.run("app:app", host="0.0.0.0", port=8000, reload=False)
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utils.py
CHANGED
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@@ -1,7 +1,7 @@
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import openai
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import os
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LLM_MODEL = "gpt-4o-mini"
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def call_llm(prompt: str, response_format=None, model=LLM_MODEL) -> str:
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client = openai.OpenAI()
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@@ -10,12 +10,12 @@ def call_llm(prompt: str, response_format=None, model=LLM_MODEL) -> str:
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model=model,
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messages=[{"role": "user", "content": prompt}],
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response_format=response_format,
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temperature=
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)
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else:
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response = client.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}],
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temperature=
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)
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return response.choices[0].message.content
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import openai
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LLM_MODEL = "gpt-4o-mini"
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temperature = 0
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def call_llm(prompt: str, response_format=None, model=LLM_MODEL) -> str:
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client = openai.OpenAI()
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model=model,
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messages=[{"role": "user", "content": prompt}],
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response_format=response_format,
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temperature=temperature
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)
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else:
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response = client.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}],
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temperature=temperature
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)
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return response.choices[0].message.content
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