Update app.py

app.py

@@ -5,39 +5,6 @@ co=cohere.Client("")
 
 
 
-def study_chat_v2(menu, user_input):
-    menu=input("Select what type of help you what from the model: 1. generate practice problems 2. correct the practice problems 3.explain practice problems ")
-    # get user input
-    if menu == "1":
-      #vocab= input("Enter in your vocab list: ")
-      message= f"Given this vocab list {user_input}, generate a moderately challenging practice sentences in spanish wiht different tenses where i have to fill in the correct verb in the correct tense"
-
-    elif menu== "2":
-      #answers=input("Enter your answers: ")
-      message= f'Correct my answers by telling me how many and which ones I missed {user_input}'
-
-    elif menu== "3":
-      #answers=input("Provide an explanation for this word and why you conjugated it like this: ")
-      message=f'Provide an explanation for this word and why you conjugated it like this: {user_input}'
-    #message = input("Send the model a message: ")
-
-    print(message)
-    # generate a response with the current chat history
-    response = co.chat(
-      message=message,
-      temperature=0.3,
-      chat_history=chat_history
-    )
-    answer = response.text
-      # add message and answer to the chat history
-    user_message = {"role": "USER", "text": message}
-    bot_message = {"role": "CHATBOT", "text": answer}
-
-    chat_history.append(user_message)
-    chat_history.append(bot_message)
-
-    return response.text
-
 def study_chat(menu, user_input):
 	co = cohere.Client(
       api_key="vlXYTrmx36dpDUO2CJOECuFxm1tswqLUD22tRd9w",  # This is your trial API key
@@ -98,28 +65,27 @@ gr.__version__
 import logging
 logging.basicConfig(level=logging.DEBUG)
 
-def interface(user_input):
-    menu = "1"  # Or another default/selected value
+def interface(menu,user_input):
     answer = study_chat(menu, user_input)
     return answer
 
-iface = gr.Interface(
-    fn=interface, 
-    inputs=gr.Textbox(lines=2, placeholder="Enter your input here..."), 
-    outputs="text",
-    description="Select what type of help you want from the model: 1. generate practice problems 2. correct the practice problems 3. explain practice problems"
-)
+# iface = gr.Interface(
+#     fn=interface, 
+#     inputs=gr.Textbox(lines=2, placeholder="Enter your input here..."), 
+#     outputs="text",
+#     description="Select what type of help you want from the model: 1. generate practice problems 2. correct the practice problems 3. explain practice problems"
+# )
+
 
-iface.launch()
 # # Define the Gradio interface
-# with gr.Blocks() as demo:
-#     gr.Markdown("# Spanish Study Tool")
-#     menu = gr.Dropdown(choices=["1", "2", "3"], label="Select what type of help you want from the model \n 1: Generate Practice Sentences, 2: Correct my answers , 3: Explain sentence")
-#     user_input = gr.Textbox(label="Enter your vocab list or answers", placeholder="Type here...")
-#     output = gr.Textbox(label="Model Response")
-#     #history_state = gr.State([])  # To store chat history
+with gr.Blocks() as demo:
+    gr.Markdown("# Spanish Study Tool")
+    menu = gr.Dropdown(choices=["1", "2", "3"], label="Select what type of help you want from the model \n 1: Generate Practice Sentences, 2: Correct my answers , 3: Explain sentence")
+    user_input = gr.Textbox(label="Enter your vocab list or answers", placeholder="Type here...")
+    output = gr.Textbox(label="Model Response")
+    #history_state = gr.State([])  # To store chat history
 
-#     button = gr.Button("Submit")
-#     button.click(interface, inputs=[menu, user_input], outputs=[output])
+    button = gr.Button("Submit")
+    button.click(interface, inputs=[menu, user_input], outputs=[output])
 
-# demo.launch(debug=True, share=True)
+demo.launch(debug=True, share=True)