Update app.py

app.py

@@ -1,45 +1,13 @@
-import gradio as gr
-import pandas as pd
-import duckdb
-import requests
-import re
-import io
 import os
+import requests
 
-def get_together_api_key():
-    """
-    Retrieves Together API key from Hugging Face Secrets (hosted) or fallback to local key (dev).
-    """
-    key = os.environ.get("TOGETHER_API_KEY")
-    
-    if key:
-        print("✅ TOGETHER_API_KEY loaded from Hugging Face secret.")
-        return key
+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")
     
-    # For local dev fallback
-    local_key = "your-local-api-key-here"  # 👈 REPLACE with your actual key
-    if local_key:
-        print("⚠️ Using local fallback API key.")
-        return local_key
-    
-    raise RuntimeError("❌ TOGETHER_API_KEY is missing. Set it in Hugging Face Secrets or update the fallback.")
-
-
-# ✅ READ API KEY from Hugging Face Secret
-TOGETHER_API_KEY = get_together_api_key()
-if not TOGETHER_API_KEY:
-    raise RuntimeError("❌ TOGETHER_API_KEY not found. Set it in Hugging Face > Settings > Secrets.")
+    if not TOGETHER_API_KEY:
+        raise RuntimeError("❌ TOGETHER_API_KEY not found. Set it in Hugging Face > Settings > Secrets.")
 
-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}",
@@ -47,42 +15,13 @@ Write a valid SQL query using the 'df' table. Return only the SQL code.
     }
     payload = {
         "model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-        "messages": [{"role": "user", "content": full_prompt}],
+        "messages": [{"role": "user", "content": "Write a SQL query to select all rows from table `df`"}],
         "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()
-
-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
-
-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()
-
-with gr.Blocks() as demo:
-    gr.Markdown("## 📊 Excel SQL Chatbot with Together API")
-    file_input = gr.File(label="📂 Upload Excel File (.xlsx)")
-    question = gr.Textbox(label="🧠 Ask a question about your data")
-    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])
+    print("✅ API call status:", response.status_code)
+    print("📦 Response JSON:", response.json())
 
-if __name__ == "__main__":
-    demo.launch()
+test_together_api()