added draawubg feautyre

app.py

@@ -60,16 +60,23 @@ def majority_vote_with_steps(question, num_iterations=10):
             all_predictions.append(prediction)
             all_answers.append(answer)
             steps_list.append(prediction)
-            majority_voted_ans = get_majority_vote(all_answers)
+        
         else:
             answer, steps = parse_prediction(prediction)
             all_predictions.append(prediction)
             all_answers.append(answer)
             steps_list.append(steps)
-            majority_voted_ans = get_majority_vote(all_answers)
-            if type_check(majority_voted_ans)=="Polynomial":
-                pass
-                #draw plot of polynomial
+
+    majority_voted_ans = get_majority_vote(all_answers)
+    if success:
+            print(type_check(majority_voted_ans))
+            if type_check(expression) == "Polynomial":
+                plotfile = draw_polynomial_plot(expression) 
+    else:
+        if os.path.exists("thankyou.png"):
+            plotfile = "thankyou.png"
+        else:
+            plotfile = None
 
 
     # Get the majority voted answer
@@ -86,11 +93,11 @@ def majority_vote_with_steps(question, num_iterations=10):
         answer=majority_voted_ans
         steps_solution = "No steps found"
 
-    return answer, steps_solution
+    return answer, steps_solution,plotfile
 
 def gradio_interface(question, correct_answer):
-    final_answer, steps_solution = majority_vote_with_steps(question, iterations)
-    return question, final_answer, steps_solution, correct_answer
+    final_answer, steps_solution,plotfile = majority_vote_with_steps(question, iterations)
+    return question, final_answer, steps_solution, correct_answer,plotfile
 
 # Custom CSS for enhanced design (unchanged)
 custom_css = """

codeexecutor.py

@@ -6,10 +6,13 @@ import multiprocessing
 from collections import Counter
 from contextlib import contextmanager
 from dataclasses import dataclass
+import sympy as sp
+import numpy as np
+import matplotlib.pyplot as plt
 
 
 class PythonREPL:
-    def __init__(self, timeout=5):
+    def __init__(self, timeout=15):
         self.timeout = timeout
 
     @staticmethod
@@ -115,7 +118,7 @@ def get_majority_vote(answers):
     return value
 
 
-def type_check(self,expr_str):
+def type_check(expr_str):
        
        
         expr = sp.sympify(expr_str)
@@ -159,7 +162,8 @@ def draw_polynomial_plot(expression):
         plt.close()
 
         return plot_filename 
-    except:
+    except Exception as e:
+        print(f"Error in draw_polynomial_plot: {e}")
         return None
 
 

flagged_data/log.csv

@@ -0,0 +1,3 @@
+Chat with MathBot,Your Question,Chat History,Polynomial Plot,flag,username,timestamp
+[],fdfd,"[[""User"", ""fdfd""], [""MathBot"", ""Answer: ('The sum of the polynomials \\\\(2x + 3\\\\) and \\\\(3x\\\\) is \\\\(\\\\boxed{5x + 3}\\\\).', \""Solve the following mathematical problem: what is  sum of polynomial 2x+3 and 3x?\\n### Solution: To solve the problem of summing the polynomials \\\\(2x + 3\\\\) and \\\\(3x\\\\), we can follow these steps:\\n\\n1. Define the polynomials.\\n2. Sum the polynomials.\\n3. Simplify the resulting polynomial expression.\\n\\nLet's implement this in Python using the sympy library.\\n\\n```python\\nimport sympy as sp\\n\\n# Define the variable\\nx = sp.symbols('x')\\n\\n# Define the polynomials\\npoly1 = 2*x + 3\\npoly2 = 3*x\\n\\n# Sum the polynomials\\nsum_poly = poly1 + poly2\\n\\n# Simplify the resulting polynomial\\nsimplified_sum_poly = sp.simplify(sum_poly)\\n\\n# Print the simplified polynomial\\nprint(simplified_sum_poly)\\n```\\n```output\\n5*x + 3\\n```\\nThe sum of the polynomials \\\\(2x + 3\\\\) and \\\\(3x\\\\) is \\\\(\\\\boxed{5x + 3}\\\\).\"")\nSteps:\nSolve the following mathematical problem: what is  sum of polynomial 2x+3 and 3x?\n### Solution: To solve the problem of summing the polynomials \\(2x + 3\\) and \\(3x\\), we can follow these steps:\n\n1. Define the polynomials.\n2. Sum the polynomials.\n3. Simplify the resulting polynomial expression.\n\nLet's implement this in Python using the sympy library.\n\n```python\nimport sympy as sp\n\n# Define the variable\nx = sp.symbols('x')\n\n# Define the polynomials\npoly1 = 2*x + 3\npoly2 = 3*x\n\n# Sum the polynomials\nsum_poly = poly1 + poly2\n\n# Simplify the resulting polynomial\nsimplified_sum_poly = sp.simplify(sum_poly)\n\n# Print the simplified polynomial\nprint(simplified_sum_poly)\n```\n```output\n5*x + 3\n```\nThe sum of the polynomials \\(2x + 3\\) and \\(3x\\) is \\(\\boxed{5x + 3}\\).""]]",,,,2024-10-03 17:19:14.236777
+[],dfafd,"[[""User"", ""dfafd""], [""MathBot"", ""Answer: ('The sum of the polynomials \\\\(2x + 3\\\\) and \\\\(3x\\\\) is \\\\(\\\\boxed{5x + 3}\\\\).', \""Solve the following mathematical problem: what is  sum of polynomial 2x+3 and 3x?\\n### Solution: To solve the problem of summing the polynomials \\\\(2x + 3\\\\) and \\\\(3x\\\\), we can follow these steps:\\n\\n1. Define the polynomials.\\n2. Sum the polynomials.\\n3. Simplify the resulting polynomial expression.\\n\\nLet's implement this in Python using the sympy library.\\n\\n```python\\nimport sympy as sp\\n\\n# Define the variable\\nx = sp.symbols('x')\\n\\n# Define the polynomials\\npoly1 = 2*x + 3\\npoly2 = 3*x\\n\\n# Sum the polynomials\\nsum_poly = poly1 + poly2\\n\\n# Simplify the resulting polynomial\\nsimplified_sum_poly = sp.simplify(sum_poly)\\n\\n# Print the simplified polynomial\\nprint(simplified_sum_poly)\\n```\\n```output\\n5*x + 3\\n```\\nThe sum of the polynomials \\\\(2x + 3\\\\) and \\\\(3x\\\\) is \\\\(\\\\boxed{5x + 3}\\\\).\"")\nSteps:\nSolve the following mathematical problem: what is  sum of polynomial 2x+3 and 3x?\n### Solution: To solve the problem of summing the polynomials \\(2x + 3\\) and \\(3x\\), we can follow these steps:\n\n1. Define the polynomials.\n2. Sum the polynomials.\n3. Simplify the resulting polynomial expression.\n\nLet's implement this in Python using the sympy library.\n\n```python\nimport sympy as sp\n\n# Define the variable\nx = sp.symbols('x')\n\n# Define the polynomials\npoly1 = 2*x + 3\npoly2 = 3*x\n\n# Sum the polynomials\nsum_poly = poly1 + poly2\n\n# Simplify the resulting polynomial\nsimplified_sum_poly = sp.simplify(sum_poly)\n\n# Print the simplified polynomial\nprint(simplified_sum_poly)\n```\n```output\n5*x + 3\n```\nThe sum of the polynomials \\(2x + 3\\) and \\(3x\\) is \\(\\boxed{5x + 3}\\).""]]",flagged_data\Polynomial Plot\b857f890620768c0e173\polynomial_plot.png,,,2024-10-03 17:44:52.573279

requirements.txt

@@ -3,3 +3,4 @@ gradio
 ctranslate2
 transformers
 torch
+numpy

temp.py

@@ -90,96 +90,10 @@ def majority_vote_with_steps(question, num_iterations=10):
 
 def gradio_interface(question, correct_answer):
     final_answer, steps_solution,plotfile = majority_vote_with_steps(question, iterations)
-    return question, final_answer, steps_solution, correct_answer,plotfile
+    return question, final_answer, steps_solution, correct_answer,
 
 # Custom CSS for enhanced design (unchanged)
-custom_css = """
-    body {
-        background-color: #fafafa;
-        font-family: 'Open Sans', sans-serif;
-    }
-    .gradio-container {
-        background-color: #ffffff;
-        border: 3px solid #007acc;
-        border-radius: 15px;
-        padding: 20px;
-        box-shadow: 0 8px 20px rgba(0, 0, 0, 0.15);
-        max-width: 800px;
-        margin: 50px auto;
-    }
-    h1 {
-        font-family: 'Poppins', sans-serif;
-        color: #007acc;
-        font-weight: bold;
-        font-size: 32px;
-        text-align: center;
-        margin-bottom: 20px;
-    }
-    p {
-        font-family: 'Roboto', sans-serif;
-        font-size: 18px;
-        color: #333;
-        text-align: center;
-        margin-bottom: 15px;
-    }
-    input, textarea {
-        font-family: 'Montserrat', sans-serif;
-        font-size: 16px;
-        padding: 10px;
-        border: 2px solid #007acc;
-        border-radius: 10px;
-        background-color: #f1f8ff;
-        margin-bottom: 15px;
-    }
-    #math_question, #correct_answer {
-        font-size: 20px;
-        font-family: 'Poppins', sans-serif;
-        font-weight: 500px;
-        color: #007acc;
-        margin-bottom: 5px;
-        display: inline-block;
-    }
-    
-    textarea {
-        min-height: 150px;
-    }
-    .gr-button-primary {
-        background-color: #007acc !important;
-        color: white !important;
-        border-radius: 10px !important;
-        font-size: 18px !important;
-        font-weight: bold !important;
-        padding: 10px 20px !important;
-        font-family: 'Montserrat', sans-serif !important;
-        transition: background-color 0.3s ease !important;
-    }
-    .gr-button-primary:hover {
-        background-color: #005f99 !important;
-    }
-    .gr-button-secondary {
-        background-color: #f44336 !important;
-        color: white !important;
-        border-radius: 10px !important;
-        font-size: 18px !important;
-        font-weight: bold !important;
-        padding: 10px 20px !important;
-        font-family: 'Montserrat', sans-serif !important;
-        transition: background-color 0.3s ease !important;
-    }
-    .gr-button-secondary:hover {
-        background-color: #c62828 !important;
-    }
-    .gr-output {
-        background-color: #e0f7fa;
-        border: 2px solid #007acc;
-        border-radius: 10px;
-        padding: 15px;
-        font-size: 16px;
-        font-family: 'Roboto', sans-serif;
-        font-weight: bold;
-        color: #00796b;
-    }
-"""
+
 
 # Define the directory path
 flagging_dir = "./flagged_data" 

temp2.py

@@ -0,0 +1,138 @@
+import gradio as gr
+# import ctranslate2
+# from transformers import AutoTokenizer
+# from huggingface_hub import snapshot_download
+from codeexecutor import get_majority_vote, type_check, postprocess_completion, draw_polynomial_plot
+import re
+import os
+
+# Define the model and tokenizer loading
+model_prompt = "Explain and solve the following mathematical problem step by step, showing all work: "
+# tokenizer = AutoTokenizer.from_pretrained("AI-MO/NuminaMath-7B-TIR")
+# model_path = snapshot_download(repo_id="Makima57/deepseek-math-Numina")
+# generator = ctranslate2.Generator(model_path, device="cpu", compute_type="int8")
+iterations = 4
+
+# # Function to generate predictions using the model
+# def get_prediction(question):
+#     input_text = model_prompt + question
+#     input_tokens = tokenizer.tokenize(input_text)
+#     results = generator.generate_batch(
+#         [input_tokens],
+#         max_length=512,
+#         sampling_temperature=0.7,
+#         sampling_topk=40,
+#     )
+#     output_tokens = results[0].sequences[0]
+#     predicted_answer = tokenizer.convert_tokens_to_string(output_tokens)
+#     return predicted_answer
+
+def get_prediction(question):
+    return "Solve the following mathematical problem: what is  sum of polynomial 2x+3 and 3x?\n### Solution: To solve the problem of summing the polynomials \\(2x + 3\\) and \\(3x\\), we can follow these steps:\n\n1. Define the polynomials.\n2. Sum the polynomials.\n3. Simplify the resulting polynomial expression.\n\nLet's implement this in Python using the sympy library.\n\n```python\nimport sympy as sp\n\n# Define the variable\nx = sp.symbols('x')\n\n# Define the polynomials\npoly1 = 2*x + 3\npoly2 = 3*x\n\n# Sum the polynomials\nsum_poly = poly1 + poly2\n\n# Simplify the resulting polynomial\nsimplified_sum_poly = sp.simplify(sum_poly)\n\n# Print the simplified polynomial\nprint(simplified_sum_poly)\n```\n```output\n5*x + 3\n```\nThe sum of the polynomials \\(2x + 3\\) and \\(3x\\) is \\(\\boxed{5x + 3}\\).\n"
+
+# Function to parse the prediction to extract the answer and steps
+def parse_prediction(prediction):
+    lines = prediction.strip().split('\n')
+    answer = None
+    steps = []
+    for line in lines:
+        # Check for "Answer:" or "answer:"
+        match = re.match(r'^\s*(?:Answer|answer)\s*[:=]\s*(.*)', line)
+        if match:
+            answer = match.group(1).strip()
+        else:
+            steps.append(line)
+    if answer is None:
+        # If no "Answer:" found, assume last line is the answer
+        answer = lines[-1].strip()
+        steps = lines
+    steps_text = '\n'.join(steps).strip()
+    return answer, steps_text
+
+def extract_boxed_answer(text):
+    # Regular expression to find the content inside \\boxed{}
+    match = re.search(r'\\boxed\{(.*?)\}', text)
+    if match:
+        return match.group(1)  # Return the content inside the \\boxed{}
+    return None
+
+
+# Function to perform majority voting and get steps
+def majority_vote_with_steps(question, num_iterations=10):
+    all_predictions = []
+    all_answers = []
+    steps_list = []
+
+    for _ in range(num_iterations):
+        prediction = get_prediction(question)
+        answer, success = postprocess_completion(prediction, return_status=True, last_code_block=True)
+        
+        if success:
+            all_predictions.append(prediction)
+            all_answers.append(answer)
+            steps_list.append(prediction)
+           
+            
+        else:
+            answer, steps = parse_prediction(prediction)
+            all_predictions.append(prediction)
+            all_answers.append(answer)
+            steps_list.append(steps)
+            
+    if success:
+            majority_voted_ans = get_majority_vote(all_answers)
+            expression=majority_voted_ans
+            print(type_check(expression))
+            if type_check(expression) == "Polynomial":
+                plotfile = draw_polynomial_plot(expression) 
+    else:
+        plotfile = None
+
+            
+        
+         # Draw plot of polynomial
+
+    # Find the steps corresponding to the majority voted answer
+    for i, ans in enumerate(all_answers):
+        if ans == majority_voted_ans:
+            steps_solution = steps_list[i]
+            answer = parse_prediction(steps_solution)
+            break
+    else:
+        answer = majority_voted_ans
+        steps_solution = "No steps found"
+
+    return answer, steps_solution, plotfile
+
+# Function to handle chat-like interaction
+def chat_interface(history, question):
+    # Get the answer and steps from the majority voting method
+    final_answer, steps_solution, plotfile = majority_vote_with_steps(question, iterations)
+    
+    # Append the question and answer to the chat history
+    history.append(("User", question))
+    history.append(("MathBot", f"Answer: {final_answer}\nSteps:\n{steps_solution}"))
+    
+    return history, plotfile
+
+# Gradio app setup with chat UI
+interface = gr.Interface(
+    fn=chat_interface,
+    inputs=[
+        gr.Chatbot(label="Chat with MathBot", elem_id="chat_history"),
+        gr.Textbox(label="Your Question", placeholder="Ask a math question...", elem_id="math_question"),
+    ],
+    outputs=[
+        gr.Chatbot(label="Chat History"),  # Chat-like display of conversation
+        gr.Image(label="Polynomial Plot")
+    ],
+    title="🔢 Math Question Solver - Chat Mode",
+    description="Chat with MathBot and ask any math-related question. It will explain the solution step by step and provide a majority-voted answer.",
+    allow_flagging="auto",
+    flagging_dir="./flagged_data",
+)
+
+if __name__ == "__main__":
+    interface.launch()
+    # history, plotfile=chat_interface(["hello"], ["what is the sum of 2x+3 and 3x"])
+    # print(history, plotfile)

temp3.py

@@ -0,0 +1,17 @@
+import sympy as sp
+
+# Define the variable
+x = sp.symbols('x')
+
+# Define the polynomials
+poly1 = 2*x + 3
+poly2 = 3*x
+
+# Sum the polynomials
+sum_poly = poly1 + poly2
+
+# Simplify the resulting polynomial
+simplified_sum_poly = sp.simplify(sum_poly)
+
+# Print the simplified polynomial
+print(simplified_sum_poly)