Complete the full setup.

On branch main
Your branch is up to date with 'origin/main'.

Changes to be committed:
modified: app.py
deleted: last_audio.mp3
modified: supplier.py

app.py

@@ -4,22 +4,13 @@ from supplier import *
 BASE_SAMPLES = ["What can you help me with?","What materials do we have?","What projects do we have today?"]
 
 # create a system setting for llm
-with gr.Blocks() as settings:
-    with gr.Row():
-        background = gr.TextArea(App_state["sys_msg"][0]["content"],lines=5,label="Current background")
-        with gr.Column():
-            def update_sys(text):
-                App_state["sys_msg"][0].update({"content":text})
-                return text
-            
-            background_edit = gr.Textbox(placeholder="change the background here",label="update background",lines = 5)
-            background_edit.submit(update_sys,background_edit,background)
-            with gr.Row():
-                clear = gr.Button("Clear")
-                submit = gr.Button("Submit")
-
-            clear.click(lambda:None,None,background_edit,queue=False)
-            submit.click(update_sys,background_edit,background,queue=False)
+with gr.Blocks() as supply_chain_view:
+    pass
+    # with gr.Column():
+    #     project_table = gr.Table(headers=["Project","Material","Quantity","Due Date"])
+    
+    # with gr.Column():
+    #     material_table = gr.Table(headers=["Material","Quantity","Supplier","Price"])
             
 with gr.Blocks() as chat_window:
     with gr.Row():
@@ -45,7 +36,7 @@ with gr.Blocks() as chat_window:
 
 
 iface = gr.TabbedInterface(
-    [chat_window,settings],
+    [chat_window,supply_chain_view],
     ["Chat","Settings"],
     title="MiMinions.ai",
     css="footer {visibility: hidden}")

supplier.py

@@ -11,46 +11,16 @@ OPENAI_CLIENT = OpenAI()
 # aws_access_key_id = os.environ.get("AWS_ACCESS_KEY_ID")
 # aws_secret_access_key = os.environ.get("AWS_SECRET_ACCESS_KEY")
 
-sys_msg = [{
-    "role": "system",
-    "content": "Hi, I'm a chatbot! Ask me a question."
-}]
-
 App_state = {
     "messages":[],
     "sys_msg":[{
     "role": "system",
-    "content": "Hi, I'm a chatbot! Ask me a question."
+    "content": "Hi, I'm a Factory supply chain assistant! Ask me a question."
 }],
     "language":"en",
-    # "last_msg":"",
-    "voice":"Joanna",
+    "voice":"nova",
 }
 
-# setup the polly client
-# polly_client = boto3.client(
-#     "polly", # the service we want to use
-#     aws_access_key_id=aws_access_key_id,
-#     aws_secret_access_key=aws_secret_access_key,
-#     region_name='us-east-1')
-
-# def get_voices():
-#     return polly_client.describe_voices()["Voices"]
-
-# # return the audio based on the text
-# def text_to_audio(messages,voice="Joanna",sample_rate = 22050):
-#     text = messages[-1][1]
-#     response = polly_client.synthesize_speech(VoiceId=voice,
-#                 OutputFormat='mp3',
-#                 SampleRate=str(sample_rate),
-#                 Text = text)
-    
-#     buffer = response["AudioStream"].read()
-#     audio_stream = np.frombuffer(buffer,dtype=np.uint16)
-    
-
-#     return sample_rate,audio_stream
-
 def send_chat(text,messages=[]):
     '''
     send_chat function takes two arguments: text and messages
@@ -105,16 +75,12 @@ def translate(file_path):
         return ""
     
 def text_to_audio(chat_messages):
-    text = chat_messages[0][-1]
-    print("content:",text)
-    print("type:",type(text))
+    text = chat_messages[-1][-1]
     response = OPENAI_CLIENT.audio.speech.create(
         model="tts-1",
-        voice="nova",
+        voice=App_state["voice"],
         input=text,
         
     )
 
-    response.stream_to_file("last_audio.mp3")
-    print(response)
-    # return response.
+    return response.content