Delete app.py

app.py

@@ -1,79 +0,0 @@
-import streamlit as st
-import pandas as pd
-import duckdb
-import requests
-import re
-import io
-
-# 🔐 Set your Together API key securely
-TOGETHER_API_KEY = st.secrets["TOGETHER_API_KEY"] if "TOGETHER_API_KEY" in st.secrets else st.text_input("Enter Together API Key", type="password")
-
-# 🧠 Generate SQL using Together API
-def generate_sql_from_prompt(prompt, df):
-    schema = ", ".join([f"{col} ({str(dtype)})" for col, dtype in df.dtypes.items()])
-    full_prompt = f"""
-You are a SQL expert. Here is a table called 'df' with the following schema:
-{schema}
-
-User question: "{prompt}"
-
-Write a valid SQL query using the 'df' table. Return only the SQL code.
-"""
-    url = "https://api.together.xyz/v1/chat/completions"
-    headers = {
-        "Authorization": f"Bearer {TOGETHER_API_KEY}",
-        "Content-Type": "application/json"
-    }
-    payload = {
-        "model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-        "messages": [{"role": "user", "content": full_prompt}],
-        "temperature": 0.2,
-        "max_tokens": 200
-    }
-
-    response = requests.post(url, headers=headers, json=payload)
-    response.raise_for_status()
-    result = response.json()
-    return result['choices'][0]['message']['content'].strip("```sql").strip("```").strip()
-
-# 🧽 Clean SQL for DuckDB
-def clean_sql_for_duckdb(sql, df_columns):
-    sql = sql.replace("`", '"')
-    for col in df_columns:
-        if " " in col and f'"{col}"' not in sql:
-            pattern = r'\b' + re.escape(col) + r'\b'
-            sql = re.sub(pattern, f'"{col}"', sql)
-    return sql
-
-# === Streamlit UI ===
-st.set_page_config(page_title="🧠 Excel SQL Chatbot", layout="centered")
-st.title("📊 Excel SQL Chatbot with LLM")
-st.markdown("Upload your **Excel file**, ask a question in natural language, and get results from SQL queries generated by an LLM.")
-
-uploaded_file = st.file_uploader("📂 Upload Excel file", type=["xlsx"])
-
-if uploaded_file and TOGETHER_API_KEY:
-    df = pd.read_excel(uploaded_file)
-    st.success(f"✅ Loaded: {uploaded_file.name} with shape {df.shape}")
-    st.dataframe(df.head(), use_container_width=True)
-
-    user_prompt = st.text_input("💬 Ask a question about your data")
-
-    if st.button("🚀 Generate SQL & Run") and user_prompt:
-        try:
-            sql_query = generate_sql_from_prompt(user_prompt, df)
-            cleaned_sql = clean_sql_for_duckdb(sql_query, df.columns)
-
-            st.code(sql_query, language="sql")
-
-            con = duckdb.connect()
-            con.register("df", df)
-            result_df = con.execute(cleaned_sql).fetchdf()
-
-            st.success("✅ Query executed successfully")
-            st.dataframe(result_df, use_container_width=True)
-
-        except Exception as e:
-            st.error(f"❌ Error: {e}")
-else:
-    st.info("🔑 Please upload a file and provide the API key to continue.")