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Update app.py
Browse files
app.py
CHANGED
@@ -136,6 +136,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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return status_message, results_df
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# --- Build Gradio Interface using Blocks ---
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with gr.Blocks() as demo:
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gr.Markdown("# Basic Agent Evaluation Runner")
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@@ -153,9 +154,8 @@ with gr.Blocks() as demo:
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This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
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"""
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)
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-
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#
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# Sinon, assurez-vous que les utilisateurs peuvent s'authentifier d'une manière ou d'une autre.
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login_button = gr.LoginButton()
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run_button = gr.Button("Run Evaluation & Submit All Answers")
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@@ -163,24 +163,29 @@ with gr.Blocks() as demo:
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status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
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results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
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run_button.click(
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fn=run_and_submit_all,
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inputs=[login_button],
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outputs=[status_output, results_table]
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)
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-
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if __name__ == "__main__":
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print("\n" + "-"*30 + " App Starting " + "-"*30)
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space_host_startup = os.getenv("SPACE_HOST")
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space_id_startup = os.getenv("SPACE_ID")
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if space_host_startup:
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print(f"✅ SPACE_HOST found: {space_host_startup}")
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else:
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print("ℹ️ SPACE_HOST environment variable not found (running locally?).")
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if space_id_startup:
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print(f"✅ SPACE_ID found: {space_id_startup}")
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print(f" Repo URL: https://huggingface.co/spaces/{space_id_startup}")
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else:
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return status_message, results_df
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# --- Build Gradio Interface using Blocks ---
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# --- Build Gradio Interface using Blocks ---
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with gr.Blocks() as demo:
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gr.Markdown("# Basic Agent Evaluation Runner")
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This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
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"""
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)
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+
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# 1. On assigne le bouton de connexion à une variable pour pouvoir l'utiliser comme entrée
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login_button = gr.LoginButton()
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run_button = gr.Button("Run Evaluation & Submit All Answers")
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status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
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results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
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# 2. On corrige l'appel .click()
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# - 'fn' est la fonction à appeler.
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# - 'inputs' est une liste des composants dont la valeur est passée à 'fn'.
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# Ici, on passe uniquement le profil de l'utilisateur depuis le bouton de connexion.
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# - 'outputs' sont les composants qui afficheront le résultat.
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run_button.click(
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fn=run_and_submit_all,
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inputs=[login_button],
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outputs=[status_output, results_table]
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)
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if __name__ == "__main__":
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print("\n" + "-"*30 + " App Starting " + "-"*30)
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# Check for SPACE_HOST and SPACE_ID at startup for information
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space_host_startup = os.getenv("SPACE_HOST")
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space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
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if space_host_startup:
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print(f"✅ SPACE_HOST found: {space_host_startup}")
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else:
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print("ℹ️ SPACE_HOST environment variable not found (running locally?).")
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if space_id_startup: # Print repo URLs if SPACE_ID is found
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print(f"✅ SPACE_ID found: {space_id_startup}")
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print(f" Repo URL: https://huggingface.co/spaces/{space_id_startup}")
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else:
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