app.py

import gradio as gr
from langchain_groq import ChatGroq
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import JsonOutputParser
import json
import os
os.environ["GROQ_API_KEY"] = os.getenv('GROQ_API')
# Initialize Groq LLM
llm = ChatGroq(
    model_name="llama-3.3-70b-specdec",
    temperature=0.7
)

# Define the expected JSON structure
parser = JsonOutputParser(pydantic_object={
    "type": "object",
    "properties": {
        "questions": {
            "type": "array",
            "items": {
                "type": "object",
                "properties": {
                    "question": {"type": "string"},
                    "options": {
                        "type": "array",
                        "items": {"type": "string"}
                    }
                },
                "required": ["question", "options"]
            }
        },
        "answers": {
            "type": "array",
            "items": {"type": "string"}
        }
    }
})

# Create a simple prompt with correct variable usage
prompt = ChatPromptTemplate.from_messages([
    ("system", os.getenv('GROQ_TEMPLATE')),
    ("user", "{input}")
])

# Create the chain that guarantees JSON output
chain = prompt | llm | parser

def parse_product(description: str) -> dict:
    result = chain.invoke({"input": description})
    return json.dumps(result, indent=2)


# Define a function that takes three text inputs and three dropdown values, and returns a combined string.
def combine_inputs(text1, text2, text3, dropdown1, dropdown2, dropdown3):
    description = f"""Skills:
    1. {text1} ({dropdown1} level questions, 1 coding questions and 1 normal)
    2. {text2} ({dropdown2} level questions, 2 questions)
    3. {text3} ({dropdown3} level questions, 1 questions)
    """
    return parse_product(description)

# Create a Gradio interface with three text inputs and three dropdowns.
with gr.Blocks() as demo:
    with gr.Row():
        text1 = gr.Textbox(label="Skill 1")
        dropdown1 = gr.Dropdown(choices=["Very High", "Intermediate", "beginner"], label="Level")
    with gr.Row():
        text2 = gr.Textbox(label="Skill 2")
        dropdown2 = gr.Dropdown(choices=["Very High", "Intermediate", "beginner"], label="Level")
    with gr.Row():
        text3 = gr.Textbox(label="Skill 3")
        dropdown3 = gr.Dropdown(choices=["Very High", "Intermediate", "beginner"], label="Level")

    # Define the output textbox before using it in the button click
    output = gr.JSON(label="Output")

    greet_btn = gr.Button("Greet")
    greet_btn.click(combine_inputs, 
                     [text1, text2, text3, dropdown1, dropdown2, dropdown3], 
                     output)

if __name__ == "__main__":
    demo.launch(show_error=True)