Upload app.py

app.py

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+import streamlit as st
+from interview_logic import InterviewAgent
+from pathlib import Path
+import os
+import json
+from dotenv import load_dotenv
+
+load_dotenv()
+
+UPLOAD_DIR = Path(os.getenv('UPLOAD_DIR', './uploads'))
+SESSION_DIR = Path(os.getenv('SESSION_DIR', './sessions'))
+UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
+SESSION_DIR.mkdir(parents=True, exist_ok=True)
+
+st.set_page_config(page_title='Excel Mock Interviewer - PoC', layout='centered')
+
+if 'agent' not in st.session_state:
+    st.session_state.agent = InterviewAgent()
+
+agent = st.session_state.agent
+
+st.title('AI-Powered Excel Mock Interviewer — PoC')
+st.write('Quick demo: answer questions or upload an Excel workbook when asked.')
+
+for entry in agent.history:
+    role = entry['role']
+    text = entry['text']
+    if role == 'agent':
+        st.markdown(f"**Interviewer:** {text}")
+    else:
+        st.markdown(f"**You:** {text}")
+
+def save_session():
+    path = SESSION_DIR / f"{agent.session_id}.json"
+    with open(path, "w", encoding="utf-8") as f:
+        json.dump(agent.summary(), f, indent=2)
+
+if agent.active:
+    q = agent.current_question
+    st.markdown(f"### Question: {q['text']}")
+    txt = st.text_area('Your answer (text or formula)', key='answer_text')
+    file = st.file_uploader('Upload workbook (.xlsx) if requested', type=['xlsx'])
+
+    col1, col2 = st.columns(2)
+    with col1:
+        if st.button('Submit Answer'):
+            if not txt.strip():
+                st.warning('Type an answer or upload a file before submitting.')
+            else:
+                agent.record_answer(txt)
+                save_session()  
+                st.rerun()
+    with col2:
+        if st.button('Submit Workbook'):
+            if not file:
+                st.warning('Choose an .xlsx file to upload')
+            else:
+                dst = UPLOAD_DIR / f"{agent.session_id}--{file.name}"
+                with open(dst, 'wb') as f:
+                    f.write(file.getbuffer())
+                agent.record_upload(str(dst))
+                save_session() 
+                st.rerun()
+else:
+    st.success('Interview complete — see summary below')
+    st.markdown('## Summary')
+    st.write(agent.summary())
+    if st.button('Download transcript (JSON)'):
+        st.download_button(
+            'Download JSON',
+            data=agent.transcript_json(),
+            file_name=f'{agent.session_id}-transcript.json'
+        )
+
+with st.expander('Admin: internal state'):
+    st.write({
+        'session_id': agent.session_id,
+        'current_q_idx': agent.idx,
+        'history_len': len(agent.history)
+    })