Fix incorrect input length error using hash as data

chatbot_constructor.py

@@ -29,7 +29,7 @@ def todset(text: str):
 def hash_str(data: str):
     return hashlib.md5(data.encode('utf-8')).hexdigest()
 
-def train(message: str = "", epochs: int = 16, learning_rate: float = 0.001, emb_size: int = 128, inp_len: int = 16, kernels_count: int = 8, kernel_size: int = 8, data: str = ""):
+def train(message: str = "", epochs: int = 16, learning_rate: float = 0.001, emb_size: int = 128, input_len: int = 16, kernels_count: int = 8, kernel_size: int = 8, data: str = ""):
     data_hash = None
     if "→" not in data or "\n" not in data:
             if data in os.listdir("cache"):
@@ -42,10 +42,13 @@ def train(message: str = "", epochs: int = 16, learning_rate: float = 0.001, emb
     tokenizer.fit_on_texts(list(dset.keys()))
     
     vocab_size = len(tokenizer.word_index) + 1
+    inp_len = input_len
     if data_hash is None:
         data_hash = hash_str(data)+"_"+str(epochs)+"_"+str(learning_rate)+"_"+str(emb_size)+"_"+str(inp_len)+"_"+str(kernels_count)+"_"+str(kernel_size)+".keras"
     elif message == "!getmodelhash":
         return data_hash
+    else:
+        inp_len = int(data_hash.split("_")[-3])
     if data_hash in os.listdir("cache"):
         model = load_model("cache/"+data_hash)
     else: