Made it so conversation history is displayed

chatbot.py

@@ -1,76 +1,119 @@
+# import openai
+# import gradio as gr
+# import config
+
+
+
+# openai.api_key = config.OPENAI_API_KEY
+
+# messages = [
+#     {"role": "system", "content":"You are an attachment and personality surveyor"}, 
+#     {"role": "user", "content":"""ask me each question from this questionnaire and rewrite it as an open-ended question and wait for each response. Empathize with me and regularly ask for clarification why I answered with a certain response. Here is the questionnaire:  
+# What is your romantic partner's name?
+# How did you two meet?
+# When did you know you wanted to be with this person?
+# Can you describe your relationship for me?
+# How serious is your relationship?
+# Have you thought about having kids with your romantic partner?
+# What kind of parent do you want to be?
+# If they didn't elaborate on the reason why, ask them "Why"?
+# How did your relationship with your mother and father impact your plans to have children?
+# What was your relationship with your mother like as a kid?
+# How has your relationship with your mother changed since you were a kid?
+# What was your relationship with your father like as a kid?
+# How has your relationship with your mother like as a kid?
+# After asking these questions, you can bid them farewell and thank them for their time. Show a lot of gratitude here.
+# """}
+# ]
+
+
+# def convert_audio_to_text(audio):
+#     audio_file = open(audio, "rb")
+#     transcript = openai.Audio.transcribe("whisper-1", audio_file)
+#     return transcript
+
+# def chatbot(input):
+#     # if input_type == "audio":
+#     #     input = convert_audio_to_text(input)
+#     if input:
+#         messages.append({"role": "user", "content": input})
+#         chat = openai.ChatCompletion.create(
+#             model="gpt-3.5-turbo", messages=messages
+#         )
+#         reply = chat.choices[0].message.content
+#         messages.append({"role": "assistant", "content": reply})
+#         return reply
+
+
+# # Define the Gradio interfaces
+# # text_interface = gr.Interface(fn=chatbot, inputs=gr.inputs.Textbox("Enter your message here"), outputs="text", title="Text Input")
+# # audio_interface = gr.Interface(fn=chatbot, inputs=gr.inputs.Audio(source="microphone", type="numpy"), outputs="text", title="Audio Input")
+
+# # inputs_text = gr.inputs.Textbox(lines=7, label="Chat with AI")
+# # inputs_audio = gr.inputs.Audio(source="microphone", type="numpy")
+# # outputs = gr.outputs.Textbox(label="Reply")
+
+# # text_interface = gr.Interface(fn=chatbot, inputs=inputs_text, outputs=outputs, title="AttachmentBot",
+# #              description="Let me survey you about your attachment with certain people in your life",
+# #              theme="compact").launch(share=True)
+
+# # audio_interface = gr.Interface(fn=chatbot, inputs=inputs_audio, outputs=outputs, title="AttachmentBot",
+# #              description="Let me survey you about your attachment with certain people in your life",
+# #              theme="compact").launch(share=True)
+# # Create a tabbed interface
+# # tabbed_interface = gr.TabbedInterface([text_interface, audio_interface])
+
+# # Launch the interface
+# # tabbed_interface.launch(share=True)
+
+# inputs = gr.inputs.Textbox(lines=7, label="Chat with AttachmentBot")
+# outputs = gr.outputs.Textbox(label="Reply")
+
+
+
+# gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="AttachmentBot",
+#              description="Let's learn more about the important relationships in your life. Type 'start' in the box below to begin.",
+#              theme="compact").launch()
+
+
+
 import openai
 import gradio as gr
 import config
 
-
-
 openai.api_key = config.OPENAI_API_KEY
 
-messages = [
+initial_messages = [
     {"role": "system", "content":"You are an attachment and personality surveyor"}, 
     {"role": "user", "content":"""ask me each question from this questionnaire and rewrite it as an open ended question and wait for each response. Empathize with me and regularly ask for clarification why I answered with a certain response. Here is the questionnaire:  
-What is your romantic partner's name?
-How did you two meet?
-When did you know you wanted to be with this person?
-Can you describe your relationship for me?
-How serious is your relationship?
-Have you thought about having kids with your romantic partner?
-What kind of parent do you want to be?
-If they didn't elaborate on the reason why, ask them "Why"?
-How did your relationship with your mother and father impact your plans to have children?
-What was your relationship with your mother like as a kid?
-How has your relationship with your mother changed since you were a kid?
-What was your relaitonship with your father like as a kid?
-How has your relationship with your mother like as a kid?
-After asking these quesitons, you can bid them farewell and thank them for their time. Show a lot of gratitude here.
-"""}
-]
+Can you describe your relationship with your mother or a mother-like figure in your life?
+Do you usually discuss your problems and concerns with your mother or a mother-like figure?
 
-
-def convert_audio_to_text(audio):
-    audio_file = open(audio, "rb")
-    transcript = openai.Audio.transcribe("whisper-1", audio_file)
-    return transcript
+"""},
+]
 
 def chatbot(input):
-    # if input_type == "audio":
-    #     input = convert_audio_to_text(input)
+    if not hasattr(chatbot, "messages"):
+        chatbot.messages = initial_messages.copy()
+    
     if input:
-        messages.append({"role": "user", "content": input})
+        chatbot.messages.append({"role": "user", "content": input})
         chat = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo", messages=messages
+            model="gpt-3.5-turbo", messages=chatbot.messages
         )
         reply = chat.choices[0].message.content
-        messages.append({"role": "assistant", "content": reply})
-        return reply
-
-
-# Define the Gradio interfaces
-# text_interface = gr.Interface(fn=chatbot, inputs=gr.inputs.Textbox("Enter your message here"), outputs="text", title="Text Input")
-# audio_interface = gr.Interface(fn=chatbot, inputs=gr.inputs.Audio(source="microphone", type="numpy"), outputs="text", title="Audio Input")
-
-# inputs_text = gr.inputs.Textbox(lines=7, label="Chat with AI")
-# inputs_audio = gr.inputs.Audio(source="microphone", type="numpy")
-# outputs = gr.outputs.Textbox(label="Reply")
-
-# text_interface = gr.Interface(fn=chatbot, inputs=inputs_text, outputs=outputs, title="AttachmentBot",
-#              description="Let me survey you about your attachment with certain people in your life",
-#              theme="compact").launch(share=True)
-
-# audio_interface = gr.Interface(fn=chatbot, inputs=inputs_audio, outputs=outputs, title="AttachmentBot",
-#              description="Let me survey you about your attachment with certain people in your life",
-#              theme="compact").launch(share=True)
-# Create a tabbed interface
-# tabbed_interface = gr.TabbedInterface([text_interface, audio_interface])
+        chatbot.messages.append({"role": "assistant", "content": reply})
+        
+        conversation = ""
+        for message in chatbot.messages[2:]:
+            role = "You" if message["role"] == "user" else "AttachmentBot"
+            conversation += f"{role}: {message['content']}\n"
 
-# Launch the interface
-# tabbed_interface.launch(share=True)
+        return conversation
 
 inputs = gr.inputs.Textbox(lines=7, label="Chat with AttachmentBot")
-outputs = gr.outputs.Textbox(label="Reply")
-
-
+outputs = gr.outputs.Textbox(label="Conversation")
 
 gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="AttachmentBot",
-             description="Let's learn more about the important relationships in your life. Type 'start' in the box below to begin.",
-             theme="compact").launch()
+             description="Let me survey you about your attachment with certain people in your life, to begin enter start",
+             theme="compact").launch()