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app.py

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+
+import streamlit as st 
+import ctranslate2 
+from transformers import AutoTokenizer 
+from huggingface_hub import snapshot_download 
+from codeexecutor import postprocess_completion,get_majority_vote  
+
+# Define the model and tokenizer loading
+model_prompt = "Solve the following mathematical problem: "
+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=10  
+
+# 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])
+    output_tokens = results[0].sequences[0]
+    predicted_answer = tokenizer.convert_tokens_to_string(output_tokens)
+    return predicted_answer  
+
+# Function to perform majority voting across multiple predictions
+def majority_vote(question, num_iterations=10):
+    all_predictions = []
+    all_answer=[]
+    for _ in range(num_iterations):
+        prediction = get_prediction(question)
+        answer=postprocess_completion(prediction,True,True)
+        all_predictions.append(prediction)
+        all_answer.append(answer)
+    majority_voted_pred = max(set(all_predictions), key=all_predictions.count)
+    majority_voted_ans=get_majority_vote(all_answer)
+    return majority_voted_pred, all_predictions,majority_voted_ans  
+
+# Streamlit app UI
+st.title("Math Question Solver")  
+st.write("Enter a math question to get the model prediction and see all generated answers.")  
+
+# Input field for math question
+question = st.text_input("Math Question", placeholder="Enter your math question here...")  
+
+# Input field for correct answer
+correct_answer = st.text_input("Correct Answer", placeholder="Enter the correct answer here...")  
+
+# Button to trigger prediction
+if st.button("Get Prediction"):
+    if question and correct_answer:
+        final_prediction, all_predictions,final_answer = majority_vote(question, iterations)
+        st.write("Question: ", question)
+        st.write("Generated Answers (10 iterations): ", all_predictions)
+        st.write("Majority-Voted Prediction: ", final_prediction)
+        st.write("Correct solution: ", correct_answer)
+        st.write("Majority answer: ", final_answer)
+    else:
+        st.error("Please enter both math question and correct answer")
+
+