ValueError: Cannot feed value of shape (1, 46) for Tensor 'InputData/X:0', which has shape '(?, 4)'

[karun12213]

How can i fix this error ?
please help

def bag_of_words(s, words):
bag = [0 for _ in range(len(words))]

s_words = nltk.word_tokenize(s)
s_words = [stemmer.stem(word.lower()) for word in s_words] 


for se in s_words:
    for i, w in enumerate(words):
        if w == se:
            bag[i] = 1
return numpy.array(bag)

def chat():

print("Hey ! I'm Mick The Mechanic! Having a problem with your vehicle ?")

while True:
    inp = input("You:")
    if inp.lower() == "quit":
        break
    
    results = model.predict([bag_of_words(inp, words)])
    results_index = numpy.argmax(results)
    tag = labels[results_index]
    
    for tg in data["intents"]:
        if tg['tag'] == tag:
            responses = tg['responses']
            
    print(random.choice(responses))

chat()

---

ValueError Traceback (most recent call last)
in
35
36
---> 37 chat()
38
39

in chat()
22 break
23
---> 24 results = model.predict([bag_of_words(inp, words)])
25 results_index = numpy.argmax(results)
26 tag = labels[results_index]

~/anaconda3/lib/python3.7/site-packages/tflearn/models/dnn.py in predict(self, X)
255 """
256 feed_dict = feed_dict_builder(X, None, self.inputs, None)
--> 257 return self.predictor.predict(feed_dict)
258
259 def predict_label(self, X):

~/anaconda3/lib/python3.7/site-packages/tflearn/helpers/evaluator.py in predict(self, feed_dict)
67 prediction = []
68 if len(self.tensors) == 1:
---> 69 return self.session.run(self.tensors[0], feed_dict=feed_dict)
70 else:
71 for output in self.tensors:

~/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
948 try:
949 result = self._run(None, fetches, feed_dict, options_ptr,
--> 950 run_metadata_ptr)
951 if run_metadata:
952 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1147 'which has shape %r' %
1148 (np_val.shape, subfeed_t.name,
-> 1149 str(subfeed_t.get_shape())))
1150 if not self.graph.is_feedable(subfeed_t):
1151 raise ValueError('Tensor %s may not be fed.' % subfeed_t)
ValueError: Cannot feed value of shape (1, 46) for Tensor 'InputData/X:0', which has shape '(?, 4)'