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Update app.py
Browse files
app.py
CHANGED
@@ -9,7 +9,6 @@ data = {"Interactions":[]}
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with open("question_answer.json", "w") as file:
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json.dump(data, file, indent=4)
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print(f"at start {data}")
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print("Loading the model......")
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model_name = "WICKED4950/Irisonego5"
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strategy = tf.distribute.MirroredStrategy()
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@@ -22,7 +21,6 @@ def save_question(question,answer,path = "question_answer.json"):
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with open(path, "r") as file:
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data = json.load(file)
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data["Interactions"].append({"Question:":question,"Answer:":answer,"Time:":datetime.now().strftime("%Y-%m-%d %H:%M:%S")})
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print(f"saving and now {data}")
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with open(path, "w") as file:
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json.dump(data, file, indent=4)
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@@ -30,8 +28,8 @@ print("Interface getting done....")
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# Define the chatbot function
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def predict(user_input):
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if user_input == "Print_data_hmm":
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return "Done"
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else:
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inputs = tokenizer(user_input, return_tensors="tf", padding=True, truncation=True)
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with open("question_answer.json", "w") as file:
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json.dump(data, file, indent=4)
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print("Loading the model......")
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model_name = "WICKED4950/Irisonego5"
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strategy = tf.distribute.MirroredStrategy()
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with open(path, "r") as file:
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data = json.load(file)
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data["Interactions"].append({"Question:":question,"Answer:":answer,"Time:":datetime.now().strftime("%Y-%m-%d %H:%M:%S")})
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with open(path, "w") as file:
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json.dump(data, file, indent=4)
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# Define the chatbot function
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def predict(user_input):
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if user_input == "Print_data_hmm":
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with open("question_answer.json", "r") as file:
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print(json.load(file))
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return "Done"
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else:
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inputs = tokenizer(user_input, return_tensors="tf", padding=True, truncation=True)
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