Spaces:
Sleeping
Sleeping
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() |