File size: 4,214 Bytes
81dac89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5ff4451
 
 
 
 
 
 
 
 
 
 
 
 
 
 
81dac89
 
 
 
 
 
 
 
5ff4451
81dac89
 
 
 
 
 
 
 
5ff4451
 
 
81dac89
5ff4451
 
81dac89
 
 
 
 
 
5ff4451
81dac89
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
import streamlit as st
from engine import process_question
from datetime import datetime

# =========================
# PAGE SETUP
# =========================
st.set_page_config(page_title="Hospital AI Assistant", layout="wide")

st.title("πŸ₯ Hospital AI Assistant")
st.caption("Ask questions about patients, conditions, visits, medications, labs")

# =========================
# SESSION STATE
# =========================
if "messages" not in st.session_state:
    st.session_state.messages = []

if "transcript" not in st.session_state:
    st.session_state.transcript = []

# =========================
# SHOW CHAT HISTORY
# =========================
for msg in st.session_state.messages:
    with st.chat_message(msg["role"]):
        st.markdown(msg["content"], unsafe_allow_html=True)

# =========================
# CHAT INPUT
# =========================
user_input = st.chat_input("Ask a question about hospital data...")

if user_input:
    # Show user message
    st.session_state.messages.append(
        {"role": "user", "content": user_input}
    )

    with st.chat_message("user"):
        st.markdown(user_input)

    # Call backend
    with st.spinner("Thinking..."):
        try:
            result = process_question(user_input)
        except Exception as e:
            result = {
                "status": "error",
                "message": str(e)
            }

    # =========================
    # BUILD RESPONSE
    # =========================
    reply = ""

    if result.get("status") == "ok":

        if result.get("message"):
            reply += f"❗ {result['message']}\n\n"

        if result.get("note"):
            reply += f"πŸ•’ {result['note']}\n\n"

        if result.get("data"):
            columns = result.get("columns", [])
            data = result["data"]

            reply += "### Result\n"
            reply += "| " + " | ".join(columns) + " |\n"
            reply += "| " + " | ".join(["---"] * len(columns)) + " |\n"

            for row in data[:10]:
                reply += "| " + " | ".join(str(x) for x in row) + " |\n"

        if result.get("sql"):
            reply += "\n---\n"
            reply += "<details><summary><b>Generated SQL</b></summary>\n\n"
            reply += f"```sql\n{result['sql']}\n```"
            reply += "\n</details>"

    else:
        reply = f"❌ {result.get('message', 'Something went wrong')}"

    # =========================
    # SAVE TRANSCRIPT βœ… FIXED
    # =========================
    st.session_state.transcript.append({
        "timestamp": datetime.utcnow().isoformat(),
        "question": user_input,
        "reply": reply,            # βœ… THIS WAS MISSING
        "sql": result.get("sql"),
        "result_preview": result.get("data", [])[:10],
        "error": result.get("message") if result.get("status") != "ok" else None
    })

    # =========================
    # SHOW ASSISTANT MESSAGE
    # =========================
    st.session_state.messages.append(
        {"role": "assistant", "content": reply}
    )

    with st.chat_message("assistant"):
        st.markdown(reply, unsafe_allow_html=True)

# =========================
# DOWNLOAD TRANSCRIPT
# =========================
def download_transcript_txt():
    lines = []
    for i, entry in enumerate(st.session_state.transcript, 1):
        lines.append(f"\n--- Query {i} ---")
        lines.append(f"Time: {entry['timestamp']}")
        lines.append(f"Question: {entry['question']}")

        if entry.get("reply"):
            lines.append("Reply:")
            lines.append(entry["reply"])

        if entry.get("sql"):
            lines.append(f"SQL:\n{entry['sql']}")

        if entry.get("error"):
            lines.append(f"Error: {entry['error']}")

    return "\n".join(lines)

# Show download button only if data exists
if st.session_state.transcript:
    st.divider()
    st.download_button(
        label="⬇️ Download conversation",
        data=download_transcript_txt(),
        file_name="chat_transcript.txt",
        mime="text/plain",
        use_container_width=True
    )