Upload 2 files

app.py

@@ -1,7 +1,8 @@
 # ── Imports ── (ORDER MATTERS: re must come after sympy wildcard)
 import streamlit as st
 import sympy as sp
-import anthropic
+import google.generativeai as genai
+import os
 from sympy import (
     symbols, diff, integrate, limit, solve, simplify, expand, factor,
     latex, sympify, oo, sin, cos, tan, exp, log, sqrt, pi, E,
@@ -307,16 +308,27 @@ def run_sympy(problem: str) -> dict:
     return default
 
 
-# ─── Claude API Call ────────────────────────────────────────────────────────────
+# ─── Gemini API Call (FREE) ─────────────────────────────────────────────────────
 def ask_claude(problem: str, sympy_info: dict, history: list) -> str:
+    # Configure Gemini with key from HF secrets
+    api_key = os.environ.get("GEMINI_API_KEY", "")
+    if not api_key:
+        return (
+            "⚠️ **GEMINI_API_KEY not found.**\n\n"
+            "Go to Hugging Face Space → Settings → Variables and Secrets → "
+            "Add secret: `GEMINI_API_KEY`\n\n"
+            "Get a free key at: https://aistudio.google.com"
+        )
+    genai.configure(api_key=api_key)
+
     sympy_context = ""
     if (sympy_info.get("result")
             and sympy_info["result"] not in (None, "matrix_detected", "mod_detected")):
         sympy_context = f"""
 SYMPY VERIFIED RESULT (mathematically exact — your final answer MUST match this):
-- Operation : {sympy_info.get('type', 'N/A')}
-- Result    : {sympy_info.get('result', 'N/A')}
-- LaTeX     : {sympy_info.get('latex', 'N/A')}
+- Operation : {sympy_info.get("type", "N/A")}
+- Result    : {sympy_info.get("result", "N/A")}
+- LaTeX     : {sympy_info.get("latex", "N/A")}
 """
 
     system_prompt = f"""You are SAAD AI — an elite BSc Mathematics tutor.
@@ -334,19 +346,19 @@ TOPICS: Calculus | Linear Algebra | Number Theory | ODEs | Numerical Methods |
 Differential Geometry | Hydro Mechanics | Theory of Numbers | Real Analysis II | General Math
 """
 
-    messages = []
+    # Build conversation history for Gemini
+    gemini_history = []
     for msg in history[-8:]:
-        messages.append({"role": msg["role"], "content": msg["content"]})
-    messages.append({"role": "user", "content": problem})
-
-    client = anthropic.Anthropic()
-    response = client.messages.create(
-        model="claude-sonnet-4-5",
-        max_tokens=3000,
-        system=system_prompt,
-        messages=messages
+        role = "user" if msg["role"] == "user" else "model"
+        gemini_history.append({"role": role, "parts": [msg["content"]]})
+
+    model = genai.GenerativeModel(
+        model_name="gemini-1.5-flash",   # free tier, fast, capable
+        system_instruction=system_prompt
     )
-    return response.content[0].text
+    chat = model.start_chat(history=gemini_history)
+    response = chat.send_message(problem)
+    return response.text
 
 
 # ─── Sidebar ────────────────────────────────────────────────────────────────────

requirements.txt

@@ -1,3 +1,3 @@
 streamlit>=1.32.0
-anthropic>=0.25.0
+google-generativeai>=0.7.0
 sympy>=1.12