Update app.py

app.py

@@ -1,18 +1,29 @@
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
 
+# Specify the model and tokenizer
 model_name = "deepseek-ai/deepseek-math-7b-instruct"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
 model.generation_config = GenerationConfig.from_pretrained(model_name)
 model.generation_config.pad_token_id = model.generation_config.eos_token_id
 
-messages = [
-    {"role": "user", "content": "what is the integral of x^2 from 0 to 2?\nPlease reason step by step, and put your final answer within \\boxed{}."}
-]
+# Function to read text from a file
+def read_input_text(file_path):
+    with open(file_path, 'r', encoding='utf-8') as file:
+        text = file.read()
+    return text.strip()
+
+# Example usage: Replace 'input.txt' with your file path
+input_text = read_input_text('input.txt')
+
+# Prepare input as a chat message
+messages = [{"role": "user", "content": input_text}]
 input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
+
+# Generate outputs from the model
 outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
 
+# Decode the generated output
 result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
 print(result)
-