Update app.py

app.py

@@ -220,8 +220,8 @@ for epoch in range(num_epochs):
         loss.backward()
         optimizer.step()
         
-    if (epoch+1) % 100 == 0:
-        print (f'Epoch [{epoch+1}/{num_epochs}], Loss: {loss.item():.4f}')
+    #if (epoch+1) % 100 == 0:
+        #print (f'Epoch [{epoch+1}/{num_epochs}], Loss: {loss.item():.4f}')
 
 
 #print(f'final loss: {loss.item():.4f}')#commented
@@ -290,35 +290,18 @@ model.eval()
 
 bot_name = "Sam"
 
-def get_response(input_text):
-    sentence= tokenize(input_text)
-    X = bag_of_words(sentence, all_words)
-    X = X.reshape(1, X.shape[0])
-    X = torch.from_numpy(X).to(device)
-
-    output = model(X)
-    _, predicted = torch.max(output, dim=1)
+###removed
 
-    tag = tags[predicted.item()]
-
-    probs = torch.softmax(output, dim=1)
-    prob = probs[0][predicted.item()]
-    if prob.item() > 0.75:
-        for intent in intents['intents']:
-            if tag == intent["tag"]:
-                return random.choice(intent['responses'])
-    
-    return "I do not understand..."
-
-print("Let's chat! (type 'quit' to exit)")
-while True:
+def get_response(input_text):
+    #print("Let's chat! (type 'quit' to exit)")
+    #while True:
     # sentence = "do you use credit cards?"
-    try:
-        sentence= input("You: ")
-        if sentence== "Quit":
-            break
-    except EOFError as e:
-        print(end="")
+        #try:
+            #sentence= input("You: ")
+            #if sentence== "Quit":
+                #break
+        #except EOFError as e:
+            #print(end="")
     #if sentence== "quit":
         #break
 
@@ -337,9 +320,9 @@ while True:
     if prob.item() > 0.75:
         for intent in intents['intents']:
             if tag == intent["tag"]:
-                print(f"{bot_name}: {random.choice(intent['responses'])}")
+                return random.choice(intent['responses'])
     else:
-        print(f"{bot_name}: I do not understand...")
+        return "I do not understand..."