dindizz's picture
Create app.py
280b825 verified
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()