Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -6,31 +6,36 @@ import os
|
|
| 6 |
|
| 7 |
# --- CONFIGURATION ---
|
| 8 |
EXCEL_CSV_URL = "https://docs.google.com/spreadsheets/d/1b_gBz-_TZZNJLIM5sYyYJQfBVNua7dFf/export?format=csv"
|
| 9 |
-
GROQ_API_KEY = os.getenv("GROQ_API_KEY") #
|
| 10 |
GROQ_URL = "https://api.groq.com/openai/v1/chat/completions"
|
| 11 |
LLAMA3_MODEL = "llama3-8b-8192"
|
| 12 |
|
| 13 |
# --- FUNCTIONS ---
|
| 14 |
|
| 15 |
def load_excel_data():
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
|
| 20 |
def search_student_by_roll(data, roll_number):
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
return
|
| 24 |
|
| 25 |
def generate_summary_from_data(student_row):
|
| 26 |
content = student_row.to_dict(orient="records")[0]
|
| 27 |
prompt = (
|
| 28 |
-
f"Create a
|
| 29 |
f"{content}\n\n"
|
| 30 |
-
f"
|
| 31 |
-
f"Include name, class, roll number, subjects with marks, total, percentage, and performance remarks."
|
| 32 |
)
|
| 33 |
-
|
| 34 |
headers = {
|
| 35 |
"Authorization": f"Bearer {GROQ_API_KEY}",
|
| 36 |
"Content-Type": "application/json"
|
|
@@ -38,10 +43,11 @@ def generate_summary_from_data(student_row):
|
|
| 38 |
data = {
|
| 39 |
"model": LLAMA3_MODEL,
|
| 40 |
"messages": [
|
| 41 |
-
{"role": "system", "content": "You are a result
|
| 42 |
{"role": "user", "content": prompt}
|
| 43 |
]
|
| 44 |
}
|
|
|
|
| 45 |
response = requests.post(GROQ_URL, headers=headers, json=data)
|
| 46 |
response.raise_for_status()
|
| 47 |
return response.json()["choices"][0]["message"]["content"]
|
|
@@ -57,12 +63,14 @@ def main():
|
|
| 57 |
roll_number = st.text_input("Roll Number", placeholder="e.g., k0000")
|
| 58 |
|
| 59 |
if st.button("Generate Result"):
|
| 60 |
-
with st.spinner("
|
|
|
|
|
|
|
|
|
|
| 61 |
try:
|
| 62 |
-
data = load_excel_data()
|
| 63 |
result = search_student_by_roll(data, roll_number)
|
| 64 |
if not result.empty:
|
| 65 |
-
st.success("β
Student
|
| 66 |
summary = generate_summary_from_data(result)
|
| 67 |
st.markdown("### π Result Summary:")
|
| 68 |
st.markdown(summary)
|
|
|
|
| 6 |
|
| 7 |
# --- CONFIGURATION ---
|
| 8 |
EXCEL_CSV_URL = "https://docs.google.com/spreadsheets/d/1b_gBz-_TZZNJLIM5sYyYJQfBVNua7dFf/export?format=csv"
|
| 9 |
+
GROQ_API_KEY = os.getenv("GROQ_API_KEY") # Must be set in Hugging Face or .env
|
| 10 |
GROQ_URL = "https://api.groq.com/openai/v1/chat/completions"
|
| 11 |
LLAMA3_MODEL = "llama3-8b-8192"
|
| 12 |
|
| 13 |
# --- FUNCTIONS ---
|
| 14 |
|
| 15 |
def load_excel_data():
|
| 16 |
+
try:
|
| 17 |
+
response = requests.get(EXCEL_CSV_URL)
|
| 18 |
+
response.raise_for_status()
|
| 19 |
+
df = pd.read_csv(BytesIO(response.content))
|
| 20 |
+
st.write("β
**Columns Detected in Sheet:**", list(df.columns)) # Help with debugging
|
| 21 |
+
return df
|
| 22 |
+
except Exception as e:
|
| 23 |
+
st.error(f"Error loading sheet: {e}")
|
| 24 |
+
return pd.DataFrame()
|
| 25 |
|
| 26 |
def search_student_by_roll(data, roll_number):
|
| 27 |
+
roll_column = [col for col in data.columns if 'roll' in col.lower()][0] # Find roll column
|
| 28 |
+
result = data[data[roll_column].astype(str).str.lower() == roll_number.lower()]
|
| 29 |
+
return result
|
| 30 |
|
| 31 |
def generate_summary_from_data(student_row):
|
| 32 |
content = student_row.to_dict(orient="records")[0]
|
| 33 |
prompt = (
|
| 34 |
+
f"Create a well-formatted result sheet using this student data:\n\n"
|
| 35 |
f"{content}\n\n"
|
| 36 |
+
f"Include Name, Roll Number, Class, Subject-wise Marks, Total, Percentage, and a Performance Remark."
|
|
|
|
| 37 |
)
|
| 38 |
+
|
| 39 |
headers = {
|
| 40 |
"Authorization": f"Bearer {GROQ_API_KEY}",
|
| 41 |
"Content-Type": "application/json"
|
|
|
|
| 43 |
data = {
|
| 44 |
"model": LLAMA3_MODEL,
|
| 45 |
"messages": [
|
| 46 |
+
{"role": "system", "content": "You are a student result generator for a school."},
|
| 47 |
{"role": "user", "content": prompt}
|
| 48 |
]
|
| 49 |
}
|
| 50 |
+
|
| 51 |
response = requests.post(GROQ_URL, headers=headers, json=data)
|
| 52 |
response.raise_for_status()
|
| 53 |
return response.json()["choices"][0]["message"]["content"]
|
|
|
|
| 63 |
roll_number = st.text_input("Roll Number", placeholder="e.g., k0000")
|
| 64 |
|
| 65 |
if st.button("Generate Result"):
|
| 66 |
+
with st.spinner("π₯ Loading data and generating result..."):
|
| 67 |
+
data = load_excel_data()
|
| 68 |
+
if data.empty:
|
| 69 |
+
return
|
| 70 |
try:
|
|
|
|
| 71 |
result = search_student_by_roll(data, roll_number)
|
| 72 |
if not result.empty:
|
| 73 |
+
st.success("β
Student found. Generating summary...")
|
| 74 |
summary = generate_summary_from_data(result)
|
| 75 |
st.markdown("### π Result Summary:")
|
| 76 |
st.markdown(summary)
|