Update app.py

app.py

@@ -5,67 +5,76 @@ import requests
 import re
 import os
 
-# Securely load Together API Key
-def get_api_key():
-    key = os.getenv("TOGETHER_API_KEY")
+# 🔐 Load Groq API Key securely
+def get_groq_api_key():
+    key = os.environ.get("GROQ_API_KEY")
     if not key:
-        raise RuntimeError("🔴 TOGETHER_API_KEY not found!")
+        raise RuntimeError("❌ GROQ_API_KEY not found in environment. Add it in Hugging Face Secrets.")
     return key
 
-API_KEY = get_api_key()
+GROQ_API_KEY = get_groq_api_key()
+
+# 🧠 Generate SQL using Groq LLaMA3 model
+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. The table is called 'df' and has the following columns:
+{schema}
 
-# Generate SQL from prompt
-def generate_sql(prompt, df):
-    schema = ", ".join([f"{col} ({dtype})" for col, dtype in df.dtypes.items()])
-    full_prompt = f"""You are a SQL expert. Table 'df' schema: {schema}
 User question: "{prompt}"
-Return only valid SQL."""
-    
-    url = "https://api.together.xyz/v1/completions"
+
+Write a valid SQL query using the 'df' table. Return only the SQL code.
+"""
+
+    url = "https://api.groq.com/openai/v1/chat/completions"
     headers = {
-        "Authorization": f"Bearer {API_KEY}",
+        "Authorization": f"Bearer {GROQ_API_KEY}",
         "Content-Type": "application/json"
     }
     payload = {
-        "model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
-        "prompt": full_prompt,
-        "max_tokens": 300,
-        "temperature": 0.3
+        "model": "llama3-70b-8192",
+        "messages": [{"role": "user", "content": full_prompt}],
+        "temperature": 0.3,
+        "max_tokens": 300
     }
 
-    resp = requests.post(url, headers=headers, json=payload)
-    resp.raise_for_status()
-    return resp.json()["choices"][0]["text"].strip()
+    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(sql, cols):
+# 🧽 Clean SQL for DuckDB
+def clean_sql_for_duckdb(sql, df_columns):
     sql = sql.replace("`", '"')
-    for c in cols:
-        if " " in c and f'"{c}"' not in sql:
-            sql = re.sub(rf'\b{re.escape(c)}\b', f'"{c}"', sql)
+    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 interface logic
-def chat_interface(file, question):
+# 💬 Main chatbot logic
+def chatbot_interface(file, question):
     try:
         df = pd.read_excel(file)
-        sql = generate_sql(question, df)
-        sql = clean_sql(sql, df.columns)
-        result_df = duckdb.query(sql).to_df()
-        return f"📜 SQL:\n```sql\n{sql}\n```", result_df
+        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: {e}", pd.DataFrame()
+        return f"❌ Error: {str(e)}", pd.DataFrame()
 
-# Gradio UI
+# 🎛️ Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("## 📊 Excel SQL Chatbot using Together API")
-    file_input = gr.File(label="📂 Upload Excel File (.xlsx)")
-    question = gr.Textbox(label="🧠 Ask your SQL question")
+    gr.Markdown("## 🧠 Excel SQL Chatbot powered by Groq + LLaMA3")
+    with gr.Row():
+        file_input = gr.File(label="📂 Upload Excel File (.xlsx)")
+        question = gr.Textbox(label="🧠 Ask your SQL question")
     submit = gr.Button("🚀 Generate & Run")
     sql_output = gr.Markdown()
     result_table = gr.Dataframe()
 
-    submit.click(fn=chat_interface, inputs=[file_input, question], outputs=[sql_output, result_table])
+    submit.click(fn=chatbot_interface, inputs=[file_input, question], outputs=[sql_output, result_table])
 
+# 🚀 Run the app
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()