import requests
import os
import gradio as gr

# --- Hugging Face Spaces Deployment Specifics ---

# Get API key from Spaces secrets
API_KEY = os.environ.get("GOOGLE_API_KEY")

if API_KEY is None:
    raise ValueError("API key not found. Set GOOGLE_API_KEY in Spaces secrets.")



# --- Gemini Flash Summarization Function ---

def summarize_text_with_gemini(text, temperature=0.2, max_decode_steps=1024):
    """Summarizes text using Gemini Flash API."""

    api_url = "https://generativelanguage.googleapis.com/v1beta3/models/gemini-flash:generateText"

    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }

    request_body = {
        "prompt": {
            "text": f"Please provide a concise summary of the following text:\n\n{text}" 
        },
        "temperature": temperature,
        "maxDecodeSteps": max_decode_steps 
    }

    try:
        response = requests.post(api_url, headers=headers, json=request_body)
        response.raise_for_status() 

        json_response = response.json()

        if "candidates" in json_response and len(json_response["candidates"]) > 0:
            summary = json_response["candidates"][0]["output"]
            return summary
        else:
            print("No summary candidates found in the API response.")  # Good for debugging in logs
            return "No summary could be generated." # More user-friendly

    except requests.exceptions.RequestException as e:
        print(f"Error during API call: {e}") # For logs/debugging
        return f"An error occurred: {e}" # User-facing message (be cautious about exposing too much detail)



# --- Hugging Face Spaces Gradio App ---

with gr.Blocks() as demo: # Use with statement for proper cleanup
    gr.Markdown("# Gemini Flash Text Summarizer")  # Title

    with gr.Row():  # Arrange input and output side-by-side
        input_text = gr.Textbox(lines=8, label="Input Text")
        output_text = gr.Textbox(lines=8, label="Summary")


    temp_slider = gr.Slider(minimum=0.0, maximum=1.0, step=0.1, value=0.2, label="Temperature")
    max_steps_slider = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Max Decode Steps")

    submit_btn = gr.Button("Summarize")


    submit_btn.click(
        fn=summarize_text_with_gemini,
        inputs=[input_text, temp_slider, max_steps_slider], # Pass temperature and max steps
        outputs=output_text,
        api_name="summarize" # Optional: for easily creating shareable links/embedding the demo.

    )

demo.launch()