Create app.py

app.py

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+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()