Commit
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f79d6c4
1
Parent(s):
c9ab476
+ download of csv
Browse files- .gitignore +3 -1
- __pycache__/langraph_agent.cpython-313.pyc +0 -0
- app.py +41 -6
.gitignore
CHANGED
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@@ -1,2 +1,4 @@
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env*
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-
.env*
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env*
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+
.env*
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+
review.csv
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+
*.csv
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__pycache__/langraph_agent.cpython-313.pyc
CHANGED
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Binary files a/__pycache__/langraph_agent.cpython-313.pyc and b/__pycache__/langraph_agent.cpython-313.pyc differ
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app.py
CHANGED
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@@ -9,6 +9,7 @@ import asyncio
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import aiohttp
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from langfuse.langchain import CallbackHandler
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from langchain_core.messages import HumanMessage
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# Initialize Langfuse CallbackHandler for LangGraph/Langchain (tracing)
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langfuse_handler = CallbackHandler()
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@@ -55,7 +56,12 @@ async def generate_answers(profile: gr.OAuthProfile | None, progress=gr.Progress
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print(f"User logged in: {username}")
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else:
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print("User not logged in.")
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-
return
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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try:
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@@ -64,11 +70,21 @@ async def generate_answers(profile: gr.OAuthProfile | None, progress=gr.Progress
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questions_data = response.json()
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if not questions_data:
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print("Fetched questions list is empty.")
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return
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print(f"Fetched {len(questions_data)} questions.")
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except Exception as e:
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print(f"Error fetching questions: {e}")
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return
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agent = BasicAgent()
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results_log = []
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answers_payload = []
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@@ -105,7 +121,23 @@ async def generate_answers(profile: gr.OAuthProfile | None, progress=gr.Progress
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cached_results_log = results_log
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progress(100, desc="Done.")
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results_df = pd.DataFrame(results_log)
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-
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def submit_answers(profile: gr.OAuthProfile | None):
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"""
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@@ -187,17 +219,20 @@ with gr.Blocks() as demo:
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status_output = gr.Textbox(label="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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generate_button.click(
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fn=generate_answers,
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inputs=[],
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outputs=[status_output, results_table, submit_button],
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api_name="generate_answers"
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)
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submit_button.click(
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fn=submit_answers,
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inputs=[],
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outputs=[status_output, results_table],
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api_name="submit_answers"
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)
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if __name__ == "__main__":
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import aiohttp
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from langfuse.langchain import CallbackHandler
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from langchain_core.messages import HumanMessage
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import tempfile
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# Initialize Langfuse CallbackHandler for LangGraph/Langchain (tracing)
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langfuse_handler = CallbackHandler()
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print(f"User logged in: {username}")
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else:
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print("User not logged in.")
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return (
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"Please Login to Hugging Face with the button.",
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None,
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gr.update(interactive=False), # Disable submit button
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gr.update(value=None, visible=False), # Hide download button
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)
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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try:
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questions_data = response.json()
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if not questions_data:
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print("Fetched questions list is empty.")
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return (
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"Fetched questions list is empty or invalid format.",
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None,
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gr.update(interactive=False),
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gr.update(value=None, visible=False),
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)
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print(f"Fetched {len(questions_data)} questions.")
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except Exception as e:
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print(f"Error fetching questions: {e}")
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return (
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f"Error fetching questions: {e}",
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None,
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gr.update(interactive=False),
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gr.update(value=None, visible=False),
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)
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agent = BasicAgent()
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results_log = []
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answers_payload = []
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cached_results_log = results_log
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progress(100, desc="Done.")
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results_df = pd.DataFrame(results_log)
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# Save answers to a temporary CSV so user can download
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try:
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with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode="w", newline="", encoding="utf-8") as tmp_csv:
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results_df.to_csv(tmp_csv.name, index=False)
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csv_path = tmp_csv.name
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print(f"CSV saved to {csv_path}")
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except Exception as e:
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print(f"Failed to write CSV: {e}")
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csv_path = None
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return (
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"Answer generation complete. Review and submit.",
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results_df,
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gr.update(interactive=True), # Enable submit button
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gr.update(value=csv_path, visible=bool(csv_path)), # Show download button if csv written
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)
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def submit_answers(profile: gr.OAuthProfile | None):
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"""
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status_output = gr.Textbox(label="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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# Download button appears after answers are generated
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download_button = gr.DownloadButton(label="Download Answers CSV", visible=False)
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generate_button.click(
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fn=generate_answers,
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inputs=[],
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outputs=[status_output, results_table, submit_button, download_button],
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api_name="generate_answers"
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)
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submit_button.click(
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fn=submit_answers,
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inputs=[],
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outputs=[status_output, results_table],
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api_name="submit_answers",
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)
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if __name__ == "__main__":
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