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Sleeping
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# app.py
import gradio as gr
from chains import questions
from chain_reports import generate_short_report_for_session
from chain_problems import analyze_problems_with_chain
from chain_recommendations import generate_recommendations
from chain_summary import generate_final_summary, shorten_summary
def process_answers(
sleep: str,
exercise: str,
stress: str,
goals: str,
diet: str,
eating: str,
relaxation: str,
health_issues: str,
manage_stress: str,
routine: str
):
# Map user inputs to questions
responses = {
questions[0]: sleep,
questions[1]: exercise,
questions[2]: stress,
questions[3]: goals,
questions[4]: diet,
questions[5]: eating,
questions[6]: relaxation,
questions[7]: health_issues,
questions[8]: manage_stress,
questions[9]: routine
}
report = generate_short_report_for_session(responses)
problems = analyze_problems_with_chain(responses, report)
recommendation = generate_recommendations(problems)
final_summary = generate_final_summary(report, problems, recommendation)
shortened_summary = shorten_summary(final_summary)
wellness_report = f"**Wellness Report**\n------------------\n{report.strip()}"
identified_problems = (
"**Identified Problems**\n"
"-----------------------\n"
f"Sleep Problem: {problems.get('sleep_problem', 'N/A')}%\n"
f"Exercise Problem: {problems.get('exercise_problem', 'N/A')}%\n"
f"Stress Problem: {problems.get('stress_problem', 'N/A')}%\n"
f"Diet Problem: {problems.get('diet_problem', 'N/A')}%"
)
recommendations = (
"**Recommendations**\n"
"--------------------\n"
f"{recommendation.strip()}"
)
summary_shown = (
"**Summary (SHOWN TO USER)**\n"
"-----------------\n"
f"{final_summary.strip()}"
)
final_summary_video = (
"**Final Summary (FOR VIDEO CREATION)**\n"
"-----------------\n"
f"{shortened_summary.strip()}"
)
return wellness_report, identified_problems, recommendations, summary_shown, final_summary_video
iface = gr.Interface(
fn=process_answers,
inputs=[gr.Textbox(label=q) for q in questions],
outputs=[
gr.Markdown(label="Wellness Report"),
gr.Markdown(label="Identified Problems"),
gr.Markdown(label="Recommendations"),
gr.Markdown(label="Summary (SHOWN TO USER)"),
gr.Markdown(label="Final Summary (FOR VIDEO CREATION)")
],
title="Wellness Report Generator",
description="Answer the questions to generate a wellness report, problem analysis, recommendations, and a final summary."
)
iface.launch()
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