Update chain_app.py

chain_app.py

@@ -1,717 +1,718 @@
-import chainlit as cl
-from gradio_client import Client
-from openai import OpenAI
-from groq import Groq
-import requests
-from chainlit.input_widget import Select, Slider
-
-hf_token = os.environ.get("HF_TOKEN")
-openai_api_key = os.environ.get('OPENAI_API_KEY')
-groq_api_key = os.environ.get('GROQ_API_KEY')
-
-hf_text_client = Client("Artin2009/text-generation", hf_token=hf_token)
-# hf_image_client = Client('Artin2009/image-generation', hf_token='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')
-openai_client = OpenAI(api_key=openai_api_key)
-groq_client = Groq(api_key=groq_api_key)
-
-API_URL = "https://api-inference.huggingface.co/models/PartAI/TookaBERT-Large"
-headers = {"Authorization": f"Bearer {hf_token}"}
-
-
-def query(payload):
-	response = requests.post(API_URL, headers=headers, json=payload)
-	return response.json()
-
-@cl.set_chat_profiles
-async def chat_profile():
-    return [
-        cl.ChatProfile(
-            name="None",
-            markdown_description="None",
-        ),
-        cl.ChatProfile(
-            name="neural-brain-AI",
-            markdown_description="The main model of neural brain",
-        ),
-        cl.ChatProfile(
-            name="Dorna-AI",
-            markdown_description="One of the open-sourced models that neural brain team fine-tuned",
-        ),
-        cl.ChatProfile(
-            name='Image-Generation',
-            markdown_description='Our image generation model, has a performance like midjourney',
-        ),
-        cl.ChatProfile(
-            name="GPT-4",
-            markdown_description="OpenAI's GPT-4 model",
-        ),
-        cl.ChatProfile(
-            name="gpt-3.5-turbo",
-            markdown_description="OpenAI's GPT-3.5 Turbo model",
-        ),
-        cl.ChatProfile(
-            name="GPT-3.5-turbo-0125",
-            markdown_description="OpenAI's GPT-3.5 Turbo 0125 model",
-        ),
-        cl.ChatProfile(
-            name="gpt-3.5-turbo-1106",
-            markdown_description="OpenAI's GPT-3.5 Turbo 1106 model",
-        ),
-        cl.ChatProfile(
-            name="davinci-002",
-            markdown_description="OpenAI's Davinci-002 model",
-        ),
-        cl.ChatProfile(
-            name="TTS",
-            markdown_description="OpenAI's Text-to-Speech model",
-        ),
-        cl.ChatProfile(
-            name="Llama-3-70B",
-            markdown_description="Meta Open Source model Llama-2 with 70B parameters",
-        ),
-        cl.ChatProfile(
-            name="Llama-3-8B",
-            markdown_description="Meta Open Source model Llama-2 with 7B parameters",
-        ),
-        cl.ChatProfile(
-            name = "gemma-7B",
-            markdown_description = 'Google Open Source LLM'
-        ),
-        cl.ChatProfile(
-            name="zephyr-7B",
-            markdown_description="Open Source model Zephyr with 7B parameters",
-        ),
-        cl.ChatProfile(
-            name='mistral-7B',
-            markdown_description = 'mistral open source LLM with 7B parameters'
-        ),
-        cl.ChatProfile(
-            name="Toka-353M",
-            markdown_description="PartAI Open Source model Toka with 353M parameters",
-        )
-    ]
-
-@cl.on_chat_start
-async def on_chat_start():
-    chat_profile = cl.user_session.get("chat_profile")
-    if chat_profile == 'neural-brain-AI':
-        await cl.ChatSettings(
-            [
-            Select(
-                id="NB-Model",
-                label="NeuralBrain - Models",
-                values=["Neural Brain AI"],
-                initial_index=0,
-            )
-            ]
-            ).send()
-        await cl.Message(
-            content="Hello, I am the main model of neural brain team, i am an instance of ChatGPT-4, This team finetuned me and i am ready to help you"
-        ).send()
-
-    if chat_profile == 'Dorna-AI':
-        await cl.ChatSettings(
-            [
-             Select(
-                    id="param_3",
-                    label="Parameter 3",
-                    values=["512"],  # Only one selectable value
-                    initial_index=0,
-                    tooltip="Config parameter 3 (e.g., max tokens)",
-                ),
-                Select(
-                    id="param_4",
-                    label="Parameter 4",
-                    values=["0.7"],  # Only one selectable value
-                    initial_index=0,
-                    tooltip="Config parameter 4 (e.g., temperature)",
-                ),
-                Select(
-                    id="param_5",
-                    label="Parameter 5",
-                    values=["0.95"],  # Only one selectable value
-                    initial_index=0,
-                    tooltip="Config parameter 5 (e.g., top_p)",
-                ),
-                Select(
-                    id="api_name",
-                    label="API Name",
-                    values=["/chat"],
-                    initial_index=0,
-                ),
-            ]
-        ).send()
-
-        await cl.Message(
-            content='my name is Dorna, Your AI Assistant designed by neural nexus team. i was made by Artin Daneshvar and Sadra Noadoust, 2 iranian students!'
-        ).send()
-
-    if chat_profile == 'Image-Generation':
-        await cl.ChatSettings(
-            [
-            Slider(
-                id="Image_Width",
-                label="Image Width",
-                initial=512,
-                min=256,
-                max=2048,
-                step=64,
-                tooltip="Measured in pixels",
-            ),
-            Slider(
-                id="Image_Height",
-                label="Image Height",
-                initial=512,
-                min=256,
-                max=2048,
-                step=64,
-                tooltip="Measured in pixels",
-        )
-        ]).send()
-
-        image = cl.Image(path='cat.png', name="result", display="inline")
-        await cl.Message(
-            content="I can make high quality & resoloution images for you, This is an example of what i can do!",
-            elements=[image],
-        ).send()
-
-    if chat_profile == 'GPT-4':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="OpenAI-Model",
-                    label="OpenAI - Model",
-                    values=["gpt-4"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im OpenAI's latest and biggest model.  i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-
-    if chat_profile == 'gpt-3.5-turbo':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="OpenAI-Model",
-                    label="OpenAI - Model",
-                    values=["gpt-3.5-turbo"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im one of the OpenAI's models. one of the best models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'GPT-3.5-turbo-0125':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="OpenAI-Model",
-                    label="OpenAI - Model",
-                    values=["gpt-3.5-turbo-0125"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im one of the OpenAI's models. one of the best models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-
-    if chat_profile == 'gpt-3.5-turbo-1106':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="OpenAI-Model",
-                    label="OpenAI - Model",
-                    values=["gpt-3.5-turbo-1106"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im one of the OpenAI's models. one of the best models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-
-    if chat_profile == 'davinci-002':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="OpenAI-Model",
-                    label="OpenAI - Model",
-                    values=["davinci-002"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im one of the OpenAI's models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'TTS':
-        await cl.Message(
-            content="Im TTS. of the best models OpenAI ever created. i can convert text to speech! . i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'Llama-3-70B':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="Meta-Model",
-                    label="Meta - Model",
-                    values=["Llama-3-70B"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im the big Llama!. one of the best open source models released by Meta! i am the Big version of meta's open source LLMs., i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'Llama-3-8B':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="Meta-Model",
-                    label="Meta - Model",
-                    values=["Llama-3-8B"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()        
-        await cl.Message(
-            content="Im The small Llama!. one of the best open source models released by Meta! i am the small version of meta's open source LLMs. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'gemma-7B':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="Google-Model",
-                    label="Google - Model",
-                    values=["Gemma-7B"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im Gemma. the small version of google open source LLMs. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'zephyr-7B':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="zephyr-Model",
-                    label="zephyr - Model",
-                    values=["zephyr-7B"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im Zephyr. One of the best open source LLMs. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'mistral-7B':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="Mistral-Model",
-                    label="Mistral - Model",
-                    values=["Mistral-7B"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im Mistral. the small version of Mistral Family. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
-        ).send()
-    if chat_profile == 'Toka-353M':
-        await cl.ChatSettings(
-            [
-                Select(
-                    id="PartAI-Model",
-                    label="PartAI - Model",
-                    values=["TokaBert-353M"],
-                    initial_index=0,
-                ),
-                Slider(
-                    id="Temperature",
-                    label="Model Temperature",
-                    initial=0.7,
-                    min=0,
-                    max=1,
-                    step=0.1,
-                ),
-            ]
-        ).send()
-        await cl.Message(
-            content="Im Toka. An opens source  persian LLM . i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? you should ask me your questions like : the capital of england is <mask> "
-        ).send()
-
-
-@cl.on_message  
-async def main(message: cl.Message):
-    chat_profile = cl.user_session.get("chat_profile")
-    if not chat_profile or chat_profile == 'None':
-        await cl.Message(
-            content="Please select a model first."
-        ).send()
-        return
-    if chat_profile == 'neural-brain-AI':
-        completion = openai_client.chat.completions.create(
-            model="ft:gpt-3.5-turbo-1106:nb:aria1:9UWDrLJK",
-            messages=[
-                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
-                {"role": "user", "content": message.content}
-            ]
-        )
-        model_response = completion.choices[0].message.content
-        await cl.Message(
-            content=model_response
-        ).send()
-
-    elif chat_profile == "Dorna-AI":
-        result = hf_text_client.predict(
-            message=message.content,
-            request="your name is Dorna,An AI Assistant designed by neural nexus team. i was made by Artin Daneshvar and Sadra Noadoust, 2 iranian students!",
-            param_3=512,
-            param_4=0.7,
-            param_5=0.95,
-            api_name="/chat"
-        )
-        model_response = result.strip("</s>") 
-        await cl.Message(
-            content=model_response
-        ).send()
-    
-    elif chat_profile == 'Image-Generation':
-        await cl.ChatSettings(
-            Slider(
-                id="Image_Width",
-                label="Image Width",
-                initial=512,
-                min=256,
-                max=2048,
-                step=64,
-                tooltip="Measured in pixels",
-            ),
-            Slider(
-                id="Image_Height",
-                label="Image Height",
-                initial=512,
-                min=256,
-                max=2048,
-                step=64,
-                tooltip="Measured in pixels",
-        )).send()
-        result = hf_image_client.predict(
-		prompt=message.content,
-		negative_prompt="",
-		seed=0,
-		randomize_seed=True,
-		width=512,
-		height=512,
-		guidance_scale=0,
-		num_inference_steps=2,
-		api_name="/infer"
-        )
-        image = cl.Image(path=result, name="result", display="inline")
-        await cl.Message(
-            content="This message has an image!",
-            elements=[image],
-        ).send()
-    elif chat_profile == 'GPT-4':
-        completion = openai_client.chat.completions.create(
-            model="gpt-4",
-            messages=[
-                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
-                {"role": "user", "content": message.content}
-            ]
-        )
-        model_response = completion.choices[0].message.content
-        await cl.Message(
-            content=model_response
-        ).send()
-
-    elif chat_profile == 'gpt-3.5-turbo':
-        completion = openai_client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
-                {"role": "user", "content": message.content}
-            ]
-        )
-        model_response = completion.choices[0].message.content
-        await cl.Message(
-            content=model_response
-        ).send()
-    elif chat_profile == 'GPT-3.5-turbo-0125':
-        completion = openai_client.chat.completions.create(
-            model="GPT-3.5-turbo-0125",
-            messages=[
-                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
-                {"role": "user", "content": message.content}
-            ]
-        )
-        model_response = completion.choices[0].message.content
-        await cl.Message(
-            content=model_response
-        ).send()
-    elif chat_profile == 'gpt-3.5-turbo-1106':
-        completion = openai_client.chat.completions.create(
-            model="gpt-3.5-turbo-1106",
-            messages=[
-                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
-                {"role": "user", "content": message.content}
-            ]
-        )
-        model_response = completion.choices[0].message.content
-        await cl.Message(
-            content=model_response
-        ).send()
-    elif chat_profile == 'davinci-002':
-        completion = openai_client.chat.completions.create(
-            model="davinci-002",
-            messages=[
-                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
-                {"role": "user", "content": message.content}
-            ]
-        )
-        model_response = completion.choices[0].message.content
-        await cl.Message(
-            content=model_response
-        ).send()
-
-    elif chat_profile == 'TTS':
-        response = openai_client.audio.speech.create(
-            model="tts-1",
-            voice="alloy",
-            input=message.content,
-        )
-
-        response.stream_to_file("output.mp3")
-
-        elements = [
-            cl.Audio(name="output.mp3", path="./output.mp3", display="inline"),
-        ]
-        await cl.Message(
-            content="Here it is the response!",
-            elements=elements,
-        ).send()
-
-    elif chat_profile == 'Llama-3-70B':
-        completion = groq_client.chat.completions.create(
-            model="llama3-70b-8192",
-            messages=[
-                {
-                    "role": "user",
-                    "content": message.content
-                }
-            ],
-            temperature=1,
-            max_tokens=1024,
-            top_p=1,
-            stream=True,
-            stop=None,
-        )
-
-        complete_content = ""
-
-        # Iterate over each chunk
-        for chunk in completion:
-            # Retrieve the content from the current chunk
-            content = chunk.choices[0].delta.content
-            
-            # Check if the content is not None before concatenating it
-            if content is not None:
-                complete_content += content
-
-        # Send the concatenated content as a message
-        await cl.Message(content=complete_content).send()
-
-    elif chat_profile == 'Llama-3-8B':
-        completion = groq_client.chat.completions.create(
-            model="llama3-8b-8192",
-            messages=[
-                {
-                    "role": "user",
-                    "content": message.content
-                }
-            ],
-            temperature=1,
-            max_tokens=1024,
-            top_p=1,
-            stream=True,
-            stop=None,
-        )
-
-        complete_content = ""
-
-        # Iterate over each chunk
-        for chunk in completion:
-            # Retrieve the content from the current chunk
-            content = chunk.choices[0].delta.content
-            
-            # Check if the content is not None before concatenating it
-            if content is not None:
-                complete_content += content
-
-        # Send the concatenated content as a message
-        await cl.Message(content=complete_content).send()
-
-    elif chat_profile == 'gemma-7B':
-        completion = groq_client.chat.completions.create(
-            model="gemma-7b-it",
-            messages=[
-                {
-                    "role": "user",
-                    "content": message.content
-                }
-            ],
-            temperature=1,
-            max_tokens=1024,
-            top_p=1,
-            stream=True,
-            stop=None,
-        )
-
-        complete_content = ""
-
-        # Iterate over each chunk
-        for chunk in completion:
-            # Retrieve the content from the current chunk
-            content = chunk.choices[0].delta.content
-            
-            # Check if the content is not None before concatenating it
-            if content is not None:
-                complete_content += content
-
-        # Send the concatenated content as a message
-        await cl.Message(content=complete_content).send()
-
-    elif chat_profile == "zephyr-7B":
-        result = hf_text_client.predict(
-            message=message.content,
-            request="your name is zephyr,An AI Assistant designed by neural nexus team. i was made by Artin Daneshvar and Sadra Noadoust, 2 iranian students!",
-            param_3=512,
-            param_4=0.7,
-            param_5=0.95,
-            api_name="/chat"
-        )
-        model_response = result.strip("</s>") 
-        await cl.Message(
-            content=model_response
-        ).send()
-
-    elif chat_profile == 'mistral-7B':
-        completion = groq_client.chat.completions.create(
-            model="mixtral-8x7b-32768",
-            messages=[
-                {
-                    "role": "user",
-                    "content": message.content
-                }
-            ],
-            temperature=1,
-            max_tokens=1024,
-            top_p=1,
-            stream=True,
-            stop=None,
-        )
-
-        complete_content = ""
-
-        for chunk in completion:
-            content = chunk.choices[0].delta.content
-            
-            if content is not None:
-                complete_content += content
-
-        await cl.Message(content=complete_content).send() 
-
-    elif chat_profile == 'Toka-353M':
-        output = query({
-        "inputs": message.content,
-    })
-        await cl.Message(content=output[0]['sequence']).send()
-
-@cl.on_settings_update
-async def setup_agent(settings):
+import chainlit as cl
+from gradio_client import Client
+from openai import OpenAI
+from groq import Groq
+import requests
+from chainlit.input_widget import Select, Slider
+import os
+
+hf_token = os.environ.get("HF_TOKEN")
+openai_api_key = os.environ.get('OPENAI_API_KEY')
+groq_api_key = os.environ.get('GROQ_API_KEY')
+
+hf_text_client = Client("Artin2009/text-generation", hf_token=hf_token)
+# hf_image_client = Client('Artin2009/image-generation', hf_token='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')
+openai_client = OpenAI(api_key=openai_api_key)
+groq_client = Groq(api_key=groq_api_key)
+
+API_URL = "https://api-inference.huggingface.co/models/PartAI/TookaBERT-Large"
+headers = {"Authorization": f"Bearer {hf_token}"}
+
+
+def query(payload):
+	response = requests.post(API_URL, headers=headers, json=payload)
+	return response.json()
+
+@cl.set_chat_profiles
+async def chat_profile():
+    return [
+        cl.ChatProfile(
+            name="None",
+            markdown_description="None",
+        ),
+        cl.ChatProfile(
+            name="neural-brain-AI",
+            markdown_description="The main model of neural brain",
+        ),
+        cl.ChatProfile(
+            name="Dorna-AI",
+            markdown_description="One of the open-sourced models that neural brain team fine-tuned",
+        ),
+        cl.ChatProfile(
+            name='Image-Generation',
+            markdown_description='Our image generation model, has a performance like midjourney',
+        ),
+        cl.ChatProfile(
+            name="GPT-4",
+            markdown_description="OpenAI's GPT-4 model",
+        ),
+        cl.ChatProfile(
+            name="gpt-3.5-turbo",
+            markdown_description="OpenAI's GPT-3.5 Turbo model",
+        ),
+        cl.ChatProfile(
+            name="GPT-3.5-turbo-0125",
+            markdown_description="OpenAI's GPT-3.5 Turbo 0125 model",
+        ),
+        cl.ChatProfile(
+            name="gpt-3.5-turbo-1106",
+            markdown_description="OpenAI's GPT-3.5 Turbo 1106 model",
+        ),
+        cl.ChatProfile(
+            name="davinci-002",
+            markdown_description="OpenAI's Davinci-002 model",
+        ),
+        cl.ChatProfile(
+            name="TTS",
+            markdown_description="OpenAI's Text-to-Speech model",
+        ),
+        cl.ChatProfile(
+            name="Llama-3-70B",
+            markdown_description="Meta Open Source model Llama-2 with 70B parameters",
+        ),
+        cl.ChatProfile(
+            name="Llama-3-8B",
+            markdown_description="Meta Open Source model Llama-2 with 7B parameters",
+        ),
+        cl.ChatProfile(
+            name = "gemma-7B",
+            markdown_description = 'Google Open Source LLM'
+        ),
+        cl.ChatProfile(
+            name="zephyr-7B",
+            markdown_description="Open Source model Zephyr with 7B parameters",
+        ),
+        cl.ChatProfile(
+            name='mistral-7B',
+            markdown_description = 'mistral open source LLM with 7B parameters'
+        ),
+        cl.ChatProfile(
+            name="Toka-353M",
+            markdown_description="PartAI Open Source model Toka with 353M parameters",
+        )
+    ]
+
+@cl.on_chat_start
+async def on_chat_start():
+    chat_profile = cl.user_session.get("chat_profile")
+    if chat_profile == 'neural-brain-AI':
+        await cl.ChatSettings(
+            [
+            Select(
+                id="NB-Model",
+                label="NeuralBrain - Models",
+                values=["Neural Brain AI"],
+                initial_index=0,
+            )
+            ]
+            ).send()
+        await cl.Message(
+            content="Hello, I am the main model of neural brain team, i am an instance of ChatGPT-4, This team finetuned me and i am ready to help you"
+        ).send()
+
+    if chat_profile == 'Dorna-AI':
+        await cl.ChatSettings(
+            [
+             Select(
+                    id="param_3",
+                    label="Parameter 3",
+                    values=["512"],  # Only one selectable value
+                    initial_index=0,
+                    tooltip="Config parameter 3 (e.g., max tokens)",
+                ),
+                Select(
+                    id="param_4",
+                    label="Parameter 4",
+                    values=["0.7"],  # Only one selectable value
+                    initial_index=0,
+                    tooltip="Config parameter 4 (e.g., temperature)",
+                ),
+                Select(
+                    id="param_5",
+                    label="Parameter 5",
+                    values=["0.95"],  # Only one selectable value
+                    initial_index=0,
+                    tooltip="Config parameter 5 (e.g., top_p)",
+                ),
+                Select(
+                    id="api_name",
+                    label="API Name",
+                    values=["/chat"],
+                    initial_index=0,
+                ),
+            ]
+        ).send()
+
+        await cl.Message(
+            content='my name is Dorna, Your AI Assistant designed by neural nexus team. i was made by Artin Daneshvar and Sadra Noadoust, 2 iranian students!'
+        ).send()
+
+    if chat_profile == 'Image-Generation':
+        await cl.ChatSettings(
+            [
+            Slider(
+                id="Image_Width",
+                label="Image Width",
+                initial=512,
+                min=256,
+                max=2048,
+                step=64,
+                tooltip="Measured in pixels",
+            ),
+            Slider(
+                id="Image_Height",
+                label="Image Height",
+                initial=512,
+                min=256,
+                max=2048,
+                step=64,
+                tooltip="Measured in pixels",
+        )
+        ]).send()
+
+        image = cl.Image(path='cat.png', name="result", display="inline")
+        await cl.Message(
+            content="I can make high quality & resoloution images for you, This is an example of what i can do!",
+            elements=[image],
+        ).send()
+
+    if chat_profile == 'GPT-4':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="OpenAI-Model",
+                    label="OpenAI - Model",
+                    values=["gpt-4"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im OpenAI's latest and biggest model.  i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+
+    if chat_profile == 'gpt-3.5-turbo':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="OpenAI-Model",
+                    label="OpenAI - Model",
+                    values=["gpt-3.5-turbo"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im one of the OpenAI's models. one of the best models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'GPT-3.5-turbo-0125':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="OpenAI-Model",
+                    label="OpenAI - Model",
+                    values=["gpt-3.5-turbo-0125"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im one of the OpenAI's models. one of the best models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+
+    if chat_profile == 'gpt-3.5-turbo-1106':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="OpenAI-Model",
+                    label="OpenAI - Model",
+                    values=["gpt-3.5-turbo-1106"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im one of the OpenAI's models. one of the best models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+
+    if chat_profile == 'davinci-002':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="OpenAI-Model",
+                    label="OpenAI - Model",
+                    values=["davinci-002"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im one of the OpenAI's models. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'TTS':
+        await cl.Message(
+            content="Im TTS. of the best models OpenAI ever created. i can convert text to speech! . i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'Llama-3-70B':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="Meta-Model",
+                    label="Meta - Model",
+                    values=["Llama-3-70B"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im the big Llama!. one of the best open source models released by Meta! i am the Big version of meta's open source LLMs., i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'Llama-3-8B':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="Meta-Model",
+                    label="Meta - Model",
+                    values=["Llama-3-8B"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()        
+        await cl.Message(
+            content="Im The small Llama!. one of the best open source models released by Meta! i am the small version of meta's open source LLMs. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'gemma-7B':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="Google-Model",
+                    label="Google - Model",
+                    values=["Gemma-7B"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im Gemma. the small version of google open source LLMs. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'zephyr-7B':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="zephyr-Model",
+                    label="zephyr - Model",
+                    values=["zephyr-7B"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im Zephyr. One of the best open source LLMs. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'mistral-7B':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="Mistral-Model",
+                    label="Mistral - Model",
+                    values=["Mistral-7B"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im Mistral. the small version of Mistral Family. i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? "
+        ).send()
+    if chat_profile == 'Toka-353M':
+        await cl.ChatSettings(
+            [
+                Select(
+                    id="PartAI-Model",
+                    label="PartAI - Model",
+                    values=["TokaBert-353M"],
+                    initial_index=0,
+                ),
+                Slider(
+                    id="Temperature",
+                    label="Model Temperature",
+                    initial=0.7,
+                    min=0,
+                    max=1,
+                    step=0.1,
+                ),
+            ]
+        ).send()
+        await cl.Message(
+            content="Im Toka. An opens source  persian LLM . i was configured by Artin Daneshvar and Sadra Noadoust, 2 iranian students to help you, how can i assist you today ? you should ask me your questions like : the capital of england is <mask> "
+        ).send()
+
+
+@cl.on_message  
+async def main(message: cl.Message):
+    chat_profile = cl.user_session.get("chat_profile")
+    if not chat_profile or chat_profile == 'None':
+        await cl.Message(
+            content="Please select a model first."
+        ).send()
+        return
+    if chat_profile == 'neural-brain-AI':
+        completion = openai_client.chat.completions.create(
+            model="ft:gpt-3.5-turbo-1106:nb:aria1:9UWDrLJK",
+            messages=[
+                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
+                {"role": "user", "content": message.content}
+            ]
+        )
+        model_response = completion.choices[0].message.content
+        await cl.Message(
+            content=model_response
+        ).send()
+
+    elif chat_profile == "Dorna-AI":
+        result = hf_text_client.predict(
+            message=message.content,
+            request="your name is Dorna,An AI Assistant designed by neural nexus team. i was made by Artin Daneshvar and Sadra Noadoust, 2 iranian students!",
+            param_3=512,
+            param_4=0.7,
+            param_5=0.95,
+            api_name="/chat"
+        )
+        model_response = result.strip("</s>") 
+        await cl.Message(
+            content=model_response
+        ).send()
+    
+    elif chat_profile == 'Image-Generation':
+        await cl.ChatSettings(
+            Slider(
+                id="Image_Width",
+                label="Image Width",
+                initial=512,
+                min=256,
+                max=2048,
+                step=64,
+                tooltip="Measured in pixels",
+            ),
+            Slider(
+                id="Image_Height",
+                label="Image Height",
+                initial=512,
+                min=256,
+                max=2048,
+                step=64,
+                tooltip="Measured in pixels",
+        )).send()
+        result = hf_image_client.predict(
+		prompt=message.content,
+		negative_prompt="",
+		seed=0,
+		randomize_seed=True,
+		width=512,
+		height=512,
+		guidance_scale=0,
+		num_inference_steps=2,
+		api_name="/infer"
+        )
+        image = cl.Image(path=result, name="result", display="inline")
+        await cl.Message(
+            content="This message has an image!",
+            elements=[image],
+        ).send()
+    elif chat_profile == 'GPT-4':
+        completion = openai_client.chat.completions.create(
+            model="gpt-4",
+            messages=[
+                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
+                {"role": "user", "content": message.content}
+            ]
+        )
+        model_response = completion.choices[0].message.content
+        await cl.Message(
+            content=model_response
+        ).send()
+
+    elif chat_profile == 'gpt-3.5-turbo':
+        completion = openai_client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
+                {"role": "user", "content": message.content}
+            ]
+        )
+        model_response = completion.choices[0].message.content
+        await cl.Message(
+            content=model_response
+        ).send()
+    elif chat_profile == 'GPT-3.5-turbo-0125':
+        completion = openai_client.chat.completions.create(
+            model="GPT-3.5-turbo-0125",
+            messages=[
+                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
+                {"role": "user", "content": message.content}
+            ]
+        )
+        model_response = completion.choices[0].message.content
+        await cl.Message(
+            content=model_response
+        ).send()
+    elif chat_profile == 'gpt-3.5-turbo-1106':
+        completion = openai_client.chat.completions.create(
+            model="gpt-3.5-turbo-1106",
+            messages=[
+                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
+                {"role": "user", "content": message.content}
+            ]
+        )
+        model_response = completion.choices[0].message.content
+        await cl.Message(
+            content=model_response
+        ).send()
+    elif chat_profile == 'davinci-002':
+        completion = openai_client.chat.completions.create(
+            model="davinci-002",
+            messages=[
+                {"role": "system", "content": "You are neural nexus official chatbot, you are made by Artin Daneshvar and Sadra Noadoust"},
+                {"role": "user", "content": message.content}
+            ]
+        )
+        model_response = completion.choices[0].message.content
+        await cl.Message(
+            content=model_response
+        ).send()
+
+    elif chat_profile == 'TTS':
+        response = openai_client.audio.speech.create(
+            model="tts-1",
+            voice="alloy",
+            input=message.content,
+        )
+
+        response.stream_to_file("output.mp3")
+
+        elements = [
+            cl.Audio(name="output.mp3", path="./output.mp3", display="inline"),
+        ]
+        await cl.Message(
+            content="Here it is the response!",
+            elements=elements,
+        ).send()
+
+    elif chat_profile == 'Llama-3-70B':
+        completion = groq_client.chat.completions.create(
+            model="llama3-70b-8192",
+            messages=[
+                {
+                    "role": "user",
+                    "content": message.content
+                }
+            ],
+            temperature=1,
+            max_tokens=1024,
+            top_p=1,
+            stream=True,
+            stop=None,
+        )
+
+        complete_content = ""
+
+        # Iterate over each chunk
+        for chunk in completion:
+            # Retrieve the content from the current chunk
+            content = chunk.choices[0].delta.content
+            
+            # Check if the content is not None before concatenating it
+            if content is not None:
+                complete_content += content
+
+        # Send the concatenated content as a message
+        await cl.Message(content=complete_content).send()
+
+    elif chat_profile == 'Llama-3-8B':
+        completion = groq_client.chat.completions.create(
+            model="llama3-8b-8192",
+            messages=[
+                {
+                    "role": "user",
+                    "content": message.content
+                }
+            ],
+            temperature=1,
+            max_tokens=1024,
+            top_p=1,
+            stream=True,
+            stop=None,
+        )
+
+        complete_content = ""
+
+        # Iterate over each chunk
+        for chunk in completion:
+            # Retrieve the content from the current chunk
+            content = chunk.choices[0].delta.content
+            
+            # Check if the content is not None before concatenating it
+            if content is not None:
+                complete_content += content
+
+        # Send the concatenated content as a message
+        await cl.Message(content=complete_content).send()
+
+    elif chat_profile == 'gemma-7B':
+        completion = groq_client.chat.completions.create(
+            model="gemma-7b-it",
+            messages=[
+                {
+                    "role": "user",
+                    "content": message.content
+                }
+            ],
+            temperature=1,
+            max_tokens=1024,
+            top_p=1,
+            stream=True,
+            stop=None,
+        )
+
+        complete_content = ""
+
+        # Iterate over each chunk
+        for chunk in completion:
+            # Retrieve the content from the current chunk
+            content = chunk.choices[0].delta.content
+            
+            # Check if the content is not None before concatenating it
+            if content is not None:
+                complete_content += content
+
+        # Send the concatenated content as a message
+        await cl.Message(content=complete_content).send()
+
+    elif chat_profile == "zephyr-7B":
+        result = hf_text_client.predict(
+            message=message.content,
+            request="your name is zephyr,An AI Assistant designed by neural nexus team. i was made by Artin Daneshvar and Sadra Noadoust, 2 iranian students!",
+            param_3=512,
+            param_4=0.7,
+            param_5=0.95,
+            api_name="/chat"
+        )
+        model_response = result.strip("</s>") 
+        await cl.Message(
+            content=model_response
+        ).send()
+
+    elif chat_profile == 'mistral-7B':
+        completion = groq_client.chat.completions.create(
+            model="mixtral-8x7b-32768",
+            messages=[
+                {
+                    "role": "user",
+                    "content": message.content
+                }
+            ],
+            temperature=1,
+            max_tokens=1024,
+            top_p=1,
+            stream=True,
+            stop=None,
+        )
+
+        complete_content = ""
+
+        for chunk in completion:
+            content = chunk.choices[0].delta.content
+            
+            if content is not None:
+                complete_content += content
+
+        await cl.Message(content=complete_content).send() 
+
+    elif chat_profile == 'Toka-353M':
+        output = query({
+        "inputs": message.content,
+    })
+        await cl.Message(content=output[0]['sequence']).send()
+
+@cl.on_settings_update
+async def setup_agent(settings):
     print("on_settings_update", settings)