Update app.py

app.py

@@ -1,38 +1,13 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 import os 
-from sympy import symbols, Eq, solve, latex
+
 
 # Initialize the Hugging Face Inference Client
 client = InferenceClient()
 
 
 
-def preprocess_latex(content):
-    """
-    Preprocess the AI response using sympy to properly format mathematical expressions.
-    """
-    lines = content.split("\n")  # Split response into lines
-    processed_lines = []
-
-    for line in lines:
-        if "[" in line and "]" in line:  # Detect mathematical expressions in brackets
-            while "[" in line and "]" in line:
-                start = line.index("[")
-                end = line.index("]") + 1
-                math_expr = line[start + 1 : end - 1].strip()
-                try:
-                    # Parse the math expression and convert to LaTeX
-                    sympy_expr = sympify(math_expr)
-                    latex_expr = latex(sympy_expr)
-                    line = line[:start] + f"$$ {latex_expr} $$" + line[end:]
-                except Exception:
-                    # Fallback to raw math if parsing fails
-                    line = line[:start] + f"$$ {math_expr} $$" + line[end:]
-        processed_lines.append(line)
-
-    return "\n".join(processed_lines)
-
 
 
 # Function to generate and format AI response
@@ -47,9 +22,7 @@ def generate_response(prompt_template, **kwargs):
         top_p=0.8
     )
     response_content = response.choices[0].message["content"]
-    print(response_content)
-    formatted_response = preprocess_latex(response_content)
-    return gr.update(value=f"{formatted_response}")
+    return gr.update(value=f"{response_content}")
 
 # Gradio app interface
 with gr.Blocks() as app: