Create app.py

app.py

@@ -0,0 +1,82 @@
+# 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()