Update app.py

app.py

@@ -1,13 +1,31 @@
-import os
+import gradio as gr
+import pandas as pd
+import duckdb
 import requests
+import re
+import os
+
+# ✅ Securely load Together API Key
+def get_together_api_key():
+    key = os.environ.get("TOGETHER_API_KEY")
+    if key:
+        print("✅ TOGETHER_API_KEY loaded successfully.")
+        return key
+    raise RuntimeError("❌ TOGETHER_API_KEY not found. Set it in Hugging Face > Settings > Secrets.")
+
+TOGETHER_API_KEY = get_together_api_key()
+
+# 🧠 Generate SQL from prompt
+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}
 
-def test_together_api():
-    TOGETHER_API_KEY = os.environ.get("TOGETHER_API_KEY")
-    print("🔍 API Key starts with:", TOGETHER_API_KEY[:8] if TOGETHER_API_KEY else "None")
-    
-    if not TOGETHER_API_KEY:
-        raise RuntimeError("❌ TOGETHER_API_KEY not found. Set it in Hugging Face > Settings > Secrets.")
+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}",
@@ -15,13 +33,48 @@ def test_together_api():
     }
     payload = {
         "model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-        "messages": [{"role": "user", "content": "Write a SQL query to select all rows from table `df`"}],
+        "messages": [{"role": "user", "content": full_prompt}],
         "temperature": 0.2,
         "max_tokens": 200
     }
 
     response = requests.post(url, headers=headers, json=payload)
-    print("✅ API call status:", response.status_code)
-    print("📦 Response JSON:", response.json())
+    response.raise_for_status()
+    result = response.json()
+    return result['choices'][0]['message']['content'].strip("```sql").strip("```").strip()
+
+# 🧽 Clean SQL for DuckDB compatibility
+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
+
+# 💬 Main chatbot function
+def chatbot_interface(file, question):
+    try:
+        df = pd.read_excel(file)
+        sql = generate_sql_from_prompt(question, df)
+        cleaned_sql = clean_sql_for_duckdb(sql, df.columns)
+        result = duckdb.query(cleaned_sql).to_df()
+        return f"📜 SQL Query:\n```sql\n{sql}\n```", result
+    except Exception as e:
+        return f"❌ Error: {str(e)}", pd.DataFrame()
+
+# 🎛️ Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## 📊 Excel SQL Chatbot with Together API")
+    with gr.Row():
+        file_input = gr.File(label="📂 Upload Excel File (.xlsx)")
+        question = gr.Textbox(label="🧠 Ask a question", placeholder="e.g., Show average salary by department")
+    submit = gr.Button("🚀 Generate & Query")
+    sql_output = gr.Markdown()
+    result_table = gr.Dataframe()
+
+    submit.click(fn=chatbot_interface, inputs=[file_input, question], outputs=[sql_output, result_table])
 
-test_together_api()
+# 🚀 Launch the app
+if __name__ == "__main__":
+    demo.launch()