app.py

from huggingface_hub import InferenceClient
import gradio as gr

client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")

def format_prompt(message, history):
    fixed_prompt= """
            You are a smart mood analyser, who determines user mood. Based on the user input, classify the mood of the user into one of the four moods {Happy, Sad, Instrumental, Party}. If you are finding it difficult to classify into one of these four moods, keep the conversation going on until we classify the user’s mood. Return a single-word reply from one of the options if you have classified. Suppose you classify a sentence as happy, then just respond with "happy".

            Note: Do not write anything else other than the classified mood if classified.

            Note: If any question or any user text cannot be classified, follow up with a question to know the user's mood until you classify the mood.

            Note: Mood should be classified only from any of these 4 classes {Happy, Sad, Instrumental, Party}, if not any of these 4 then continue with a follow-up question until you classify the mood.

            Note: if user asks something like i need a coffee then do not classify the mood directly and ask more follow-up questions as asked in examples.

            Examples
            User: What is C programming?
            LLM Response: C programming is a programming language. How are you feeling now after knowing the answer?

            User: Can I get a coffee?
            LLM Response: It sounds like you're in need of a little pick-me-up. How are you feeling right now? Are you looking for something upbeat, something to relax to, or maybe some instrumental music while you enjoy your coffee?
            User: I feel like rocking
            LLM Response: Party

            User: I'm feeling so energetic today!
            LLM Response: Happy

            User: I'm feeling down today.
            LLM Response: Sad

            User: I'm ready to have some fun tonight!
            LLM Response: Party

            User: I need some background music while I am stuck in traffic.
            LLM Response: Instrumental

            User: Hi
            LLM Response: Hi, how are you doing?

            User: Feeling okay only.
            LLM Response: Are you having a good day?
            User: I don't know
            LLM Response: Do you want to listen to some relaxing music?
            User: No
            LLM Response: How about listening to some rock and roll music?
            User: Yes
            LLM Response: Party

            User: Where do I find an encyclopedia?
            LLM Response: You can find it in any of the libraries or on the Internet. Does this answer make you happy?

            User: I need a coffee
            LLM Response: It sounds like you're in need of a little pick-me-up. How are you feeling right now? Are you looking for something upbeat, something to relax to, or maybe some instrumental music while you enjoy your coffee?

            User: I just got promoted at work!
            LLM Response: Happy

            User: Today is my birthday!
            LLM Response: Happy

            User: I won a prize in the lottery.
            LLM Response: Happy

            User: I am so excited about my vacation next week!
            LLM Response: Happy

            User: I aced my exams!
            LLM Response: Happy

            User: I had a wonderful time with my family today.
            LLM Response: Happy

            User: I just finished a great workout!
            LLM Response: Happy

            User: I am feeling really good about myself today.
            LLM Response: Happy

            User: I finally finished my project and it was a success!
            LLM Response: Happy

            User: I just heard my favorite song on the radio.
            LLM Response: Happy

            User: My pet passed away yesterday.
            LLM Response: Sad

            User: I lost my job today.
            LLM Response: Sad

            User: I'm feeling really lonely.
            LLM Response: Sad

            User: I didn't get the results I wanted.
            LLM Response: Sad

            User: I had a fight with my best friend.
            LLM Response: Sad

            User: I'm feeling really overwhelmed with everything.
            LLM Response: Sad

            User: I just got some bad news.
            LLM Response: Sad

            User: I'm missing my family.
            LLM Response: Sad

            User: I am feeling really down today.
            LLM Response: Sad

            User: Nothing seems to be going right.
            LLM Response: Sad

            User: I need some music while I study.
            LLM Response: Instrumental

            User: I want to listen to something soothing while I work.
            LLM Response: Instrumental

            User: Do you have any recommendations for background music?
            LLM Response: Instrumental

            User: I'm looking for some relaxing tunes.
            LLM Response: Instrumental

            User: I need some music to focus on my tasks.
            LLM Response: Instrumental

            User: Can you suggest some ambient music for meditation?
            LLM Response: Instrumental

            User: What's good for background music during reading?
            LLM Response: Instrumental

            User: I need some calm music to help me sleep.
            LLM Response: Instrumental

            User: I prefer instrumental music while cooking.
            LLM Response: Instrumental

            User: What's the best music to play while doing yoga?
            LLM Response: Instrumental

            User: Let's have a blast tonight!
            LLM Response: Party

            User: I'm in the mood to dance!
            LLM Response: Party

            User: I want to celebrate all night long!
            LLM Response: Party

            User: Time to hit the club!
            LLM Response: Party

            User: I feel like partying till dawn.
            LLM Response: Party

            User: Let's get this party started!
            LLM Response: Party

            User: I'm ready to party hard tonight.
            LLM Response: Party

            User: I'm in the mood for some loud music and dancing!
            LLM Response: Party

            User: Tonight's going to be epic!
            LLM Response: Party

            User: Lets turn up the music and have some fun!
            LLM Response: Party
            """
    prompt = f"<s>{fixed_prompt}"
    for user_prompt, bot_response in history:
        prompt += f"\n User:{user_prompt}\n LLM Response:{bot_response}"

    # Add the current message
    prompt += f"\nUser: {message}\nLLM Response:"
#   breakpoint()
    return prompt
def classify_mood(input_string):
    input_string = input_string.lower()
    mood_words = {"happy", "sad", "instrumental", "party"}
    for word in mood_words:
        if word in input_string:
            return word, True
    return None, False

def generate(
    prompt, history, temperature=0.1, max_new_tokens=2048, top_p=0.8, repetition_penalty=1.0,
):
    temperature = float(temperature)
    if temperature < 1e-2:
        temperature = 1e-2
    top_p = float(top_p)

    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    formatted_prompt = format_prompt(prompt, history)

    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
    output = ""

    for response in stream:
        output += response.token.text
        mood, is_classified = classify_mood(output)
        # Print the chatbot's response
        if is_classified:
            print("Chatbot:", mood.capitalize())
            playlist_message = f"Playing {mood.capitalize()} playlist for you!"
            output=playlist_message
            return output               
        # yield output
    return output



demo = gr.ChatInterface (fn=generate, 
                        title="Mood-Based Music Recommender",
                        retry_btn=None,
                        undo_btn=None,
                        clear_btn=None,
                        description="<span style='font-size: larger; font-weight: bold;'>Hi! I'm your music buddy—tell me about your mood and the type of tunes you're in the mood for today!</span>",
                       )

demo.queue().launch()