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@@ -606,7 +606,8 @@ with tab_explore:
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with st.spinner("AI is dynamically evaluating these records against your profile..."):
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user_eav = get_eav_profile(st.session_state["authenticated_user"])
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profile_text = ", ".join([f"{p['name']}: {p['value']}" for p in user_eav]) if user_eav else "None"
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- eval_prompt = f"The user has this profile: {profile_text}. Evaluate these foods and state which are highly recommended or strictly forbidden: {df_display.to_dict('records')}. Provide a direct answer. Skip all thinking, reasoning, and pleasantries."
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+ minimal_records = df_display[['product_name', 'Medical Warning']].head(10).to_dict('records')
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+ eval_prompt = f"The user has this profile: {profile_text}. Evaluate these top foods and state which are highly recommended or strictly forbidden: {minimal_records}. Provide a direct, readable clinical summary. Do not output raw JSON."
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try:
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response_stream = ollama.chat(model='llama3.2:1b', messages=[{'role': 'user', 'content': eval_prompt}], stream=True)
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st.write_stream(chunk['message']['content'] for chunk in response_stream)
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@@ -820,7 +821,6 @@ with tab_planner:
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pdf.add_page()
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pdf.set_font("Helvetica", 'B', 16)
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pdf.cell(0, 10, "Strict Clinical Meal Plan", ln=True, align='C')
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- pdf.set_font("Helvetica", size=10)
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pdf.ln(5)
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for line in text.split('\n'):
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@@ -831,22 +831,29 @@ with tab_planner:
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if line.startswith('|') and line.endswith('|'):
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if '---' in line: continue
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+ pdf.set_font("Helvetica", size=9)
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cols = [col.strip() for col in line.strip('|').split('|')]
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- col_width = 190 / max(1, len(cols))
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- for col in cols:
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- # encode to ignore unicode errors in basic PDF fonts
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+ col_widths = [25, 80, 30, 25, 25] if len(cols) == 5 else [190 / max(1, len(cols))] * len(cols)
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+ for i, col in enumerate(cols):
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+ cw = col_widths[i]
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clean_col = str(col).encode('latin-1', 'replace').decode('latin-1')
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- pdf.cell(col_width, 10, clean_col, border=1)
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+ max_chars = int(cw * 0.7)
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+ if len(clean_col) > max_chars: clean_col = clean_col[:max_chars-2] + ".."
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+ pdf.cell(cw, 8, clean_col, border=1)
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pdf.ln()
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else:
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+ pdf.set_font("Helvetica", size=11)
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clean_line = str(line).encode('latin-1', 'replace').decode('latin-1')
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pdf.multi_cell(0, 8, clean_line)
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- return pdf.output()
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+ pdf_path = "/tmp/meal_plan.pdf"
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+ pdf.output(pdf_path)
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+ with open(pdf_path, "rb") as f:
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+ return f.read()
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st.download_button(
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label="📄 Download PDF Export",
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- data=bytes(generate_pdf(ai_reply)),
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+ data=generate_pdf(ai_reply),
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file_name="Clinical_Meal_Plan.pdf",
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mime="application/pdf",
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type="primary"
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