app.py

import os
import gradio as gr
from huggingface_hub import InferenceClient

api_key = os.getenv("HF_API_KEY")
client = InferenceClient(api_key=api_key)

# Create shared state for the textbox values
class State:
    def __init__(self):
        self.context = "This Adrega component is designed to answer questions provided by API"
        self.question = "What does this component do?"

state = State()

'''def analyze(project_data, question):
    try:
        prompt = f"Analyze this project: {project_data}\n\nQuestion: {question}"

        messages = [
            {"role": "system", "content": f"Context: {project_data}"},
            {"role": "user", "content": question}
        ]
        
        response = client.chat.completions.create(
            model="Qwen/Qwen2.5-72B-Instruct",
            messages=messages,
            max_tokens=1000,
            stream=True
        )

        answer = ""
        
        for chunk in response:
            answer += chunk['choices'][0]['delta']['content']
            yield answer
        
    except Exception as e:
        print(f"Error details: {str(e)}")
        yield f"Error occurred: {str(e)}"
'''

# Function to update textbox values
def update_values(context, question):
    state.context = context
    state.question = question
    return state.context
    
with gr.Blocks() as iface:
    # Create the components with the state values
    project_data = gr.Textbox(label="Project Data", lines=2, value=lambda: state.context)
    question = gr.Textbox(label="Question", lines=1, value=lambda: state.question)
    output = gr.Textbox(label="Output")
    
    # Create analyze button
    #analyze_btn = gr.Button("Analyze")
    
    # Connect the analyze function
    #analyze_btn.click(
    #    fn=analyze,
    #    inputs=[project_data, question],
    #    outputs=output
    #)
    update_btn = gr.Button("Update")
    update_btn.click(
        fn=update_values,
        inputs=['test1', 'test2'],
        outputs=output
    )
    
    # Add API endpoint for updating values
    iface.add_api_route("/update_values", update_values, methods=["POST"])

# Configure for external access
iface.launch(
    server_name="0.0.0.0",  # Allow external connections
    share=True,             # Create public URL
    allowed_paths=["*"],     # Allow CORS
)