Update app.py

app.py

@@ -6,7 +6,6 @@ from sympy.parsing.latex import parse_latex
 import re
 import requests
 
-# Load Pix2Tex model
 model = LatexOCR()
 
 def preprocess_handwritten_image(pil_img):
@@ -61,9 +60,9 @@ def request_llm_fallback(bad_latex, llm_url):
         print(f"LLM fallback failed: {e}")
     return pre_cleaned
 
-def request_llm_explanation(latex, llm_url):
+def request_llm_explanation(prompt, llm_url):
     try:
-        response = requests.post(f"{llm_url}/explain", json={"prompt": latex})
+        response = requests.post(f"{llm_url}/explain", json={"prompt": prompt})
         if response.status_code == 200:
             return response.json().get("explanation", "❌ No explanation returned.")
         else:
@@ -144,7 +143,6 @@ def wrapped_solver(img, url):
     result, cleaned, _ = solve_polynomial(img, url)
     return result, cleaned
 
-# ✅ REWRITTEN: Build raw string (not LaTeX) for LLM
 def solve_from_coeffs(degree, coeff_str):
     try:
         coeffs = [float(c.strip()) for c in coeff_str.split(",")]
@@ -160,7 +158,6 @@ def solve_from_coeffs(degree, coeff_str):
         for i, r in enumerate(roots, 1):
             result += f"- Root {i}: $${sp.latex(sp.N(r, 6))}$$\n"
 
-        # Build readable equation string
         terms = []
         for i, c in enumerate(coeffs):
             power = int(degree) - i
@@ -171,8 +168,6 @@ def solve_from_coeffs(degree, coeff_str):
             else:
                 terms.append(f"{c}x^{power}")
         equation_str = " + ".join(terms).replace("+ -", "- ") + " = 0"
-
-        # Hidden prompt string to send to LLM
         roots_str = f"[{', '.join(str(sp.N(r, 6)) for r in roots)}]"
         factored_str = sp.pretty(factored)