Update app.py
Browse files
app.py
CHANGED
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@@ -3,7 +3,7 @@ import gradio as gr
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from crew import run_crew
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from utils import get_questions
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def _run(question, openai_api_key, gemini_api_key, file_name = ""):
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"""
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Run GAIA General AI Assistant to answer a question.
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@@ -11,6 +11,7 @@ def _run(question, openai_api_key, gemini_api_key, file_name = ""):
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question (str): The question to answer
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openai_api_key (str): OpenAI API key
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gemini_api_key (str): Gemini API key
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file_name (str): Optional file name
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Returns:
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@@ -25,6 +26,9 @@ def _run(question, openai_api_key, gemini_api_key, file_name = ""):
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if not gemini_api_key:
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raise gr.Error("Gemini API Key is required.")
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if file_name:
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file_name = f"data/{file_name}"
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@@ -36,6 +40,7 @@ def _run(question, openai_api_key, gemini_api_key, file_name = ""):
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try:
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os.environ["OPENAI_API_KEY"] = openai_api_key
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os.environ["GEMINI_API_KEY"] = gemini_api_key
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answer = run_crew(question, file_name)
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except Exception as e:
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@@ -43,6 +48,7 @@ def _run(question, openai_api_key, gemini_api_key, file_name = ""):
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finally:
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del os.environ["OPENAI_API_KEY"]
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del os.environ["GEMINI_API_KEY"]
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return answer
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@@ -81,9 +87,13 @@ with gr.Blocks() as gaia:
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label="Gemini API Key *",
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type="password"
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)
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with gr.Row():
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clear_btn = gr.ClearButton(
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components=[question, level, ground_truth, file_name
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)
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submit_btn = gr.Button("Submit", variant="primary")
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with gr.Column(scale=1):
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@@ -95,7 +105,7 @@ with gr.Blocks() as gaia:
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submit_btn.click(
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fn=_run,
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inputs=[question, openai_api_key, gemini_api_key, file_name],
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outputs=answer
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)
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@@ -104,7 +114,7 @@ with gr.Blocks() as gaia:
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gr.Examples(
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label="Level 1",
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examples=get_questions(QUESTION_FILE_PATH, 1),
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inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key],
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outputs=answer,
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cache_examples=False
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)
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@@ -112,7 +122,7 @@ with gr.Blocks() as gaia:
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gr.Examples(
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label="Level 2",
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examples=get_questions(QUESTION_FILE_PATH, 2),
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inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key],
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outputs=answer,
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cache_examples=False
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)
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@@ -120,7 +130,7 @@ with gr.Blocks() as gaia:
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gr.Examples(
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label="Level 3",
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examples=get_questions(QUESTION_FILE_PATH, 3),
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inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key],
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outputs=answer,
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cache_examples=False
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)
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from crew import run_crew
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from utils import get_questions
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def _run(question, openai_api_key, gemini_api_key, anthropic_api_key, file_name = ""):
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"""
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Run GAIA General AI Assistant to answer a question.
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question (str): The question to answer
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openai_api_key (str): OpenAI API key
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gemini_api_key (str): Gemini API key
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anthropic_api_key (str): Anthropic API key
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file_name (str): Optional file name
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Returns:
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if not gemini_api_key:
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raise gr.Error("Gemini API Key is required.")
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if not anthropic_api_key:
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raise gr.Error("Anthropic API Key is required.")
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if file_name:
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file_name = f"data/{file_name}"
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try:
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os.environ["OPENAI_API_KEY"] = openai_api_key
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os.environ["GEMINI_API_KEY"] = gemini_api_key
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os.environ["ANTHROPIC_API_KEY"] = anthropic_api_key
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answer = run_crew(question, file_name)
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except Exception as e:
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finally:
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del os.environ["OPENAI_API_KEY"]
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del os.environ["GEMINI_API_KEY"]
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del os.environ["ANTHROPIC_API_KEY"]
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return answer
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label="Gemini API Key *",
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type="password"
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)
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anthropic_api_key = gr.Textbox(
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label="Anthropic API Key *",
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type="password"
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)
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with gr.Row():
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clear_btn = gr.ClearButton(
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components=[question, level, ground_truth, file_name]
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)
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submit_btn = gr.Button("Submit", variant="primary")
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with gr.Column(scale=1):
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submit_btn.click(
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fn=_run,
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inputs=[question, openai_api_key, gemini_api_key, anthropic_api_key, file_name],
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outputs=answer
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)
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gr.Examples(
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label="Level 1",
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examples=get_questions(QUESTION_FILE_PATH, 1),
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inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
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outputs=answer,
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cache_examples=False
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)
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gr.Examples(
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label="Level 2",
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examples=get_questions(QUESTION_FILE_PATH, 2),
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inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
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outputs=answer,
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cache_examples=False
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)
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gr.Examples(
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label="Level 3",
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examples=get_questions(QUESTION_FILE_PATH, 3),
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inputs=[question, level, ground_truth, file_name, openai_api_key, gemini_api_key, anthropic_api_key],
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outputs=answer,
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cache_examples=False
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)
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