Update app.py

app.py

@@ -1,56 +1,114 @@
-from flask import Flask, request, jsonify, redirect, render_template
-import requests
+from flask import Flask, request, jsonify, send_file
+from flask_cors import CORS
 import os
 import subprocess
-from flask_cors import CORS
+from huggingface_hub import InferenceClient
+from io import BytesIO
+from PIL import Image
 
+# Initialize the Flask app
 app = Flask(__name__)
-CORS(app)
+CORS(app)  # Enable CORS for all routes
+
+# Initialize the InferenceClient with your Hugging Face token
+HF_TOKEN = os.environ.get("HF_TOKEN")  # Ensure to set your Hugging Face token in the environment
+client = InferenceClient(token=HF_TOKEN)
 
-# Access the secrets from environment variables in Hugging Face
-CLIENT_ID = os.environ.get('v1')  # Your Client ID
-CLIENT_SECRET = os.environ.get('v2')  # Your Client Secret
-REDIRECT_URI = 'http://127.0.0.1:5001/callback'
-SPOTIFY_AUTH_URL = "https://accounts.spotify.com/authorize"
-SPOTIFY_TOKEN_URL = "https://accounts.spotify.com/api/token"
-SPOTIFY_API_URL = "https://api.spotify.com/v1"
+# Hardcoded negative prompt
+NEGATIVE_PROMPT_FINGERS = """2D,missing fingers, extra fingers, elongated fingers, fused fingers, 
+mutated fingers, poorly drawn fingers, disfigured fingers, 
+too many fingers, deformed hands, extra hands, malformed hands, 
+blurry hands, disproportionate fingers"""
 
-# Home route
 @app.route('/')
 def home():
     return "Welcome to the Image Background Remover!"
 
+# Simple content moderation function
+def is_prompt_explicit(prompt):
+    # Streamlined keyword list to avoid unnecessary restrictions
+    explicit_keywords = [
+        "sexual", "porn", "hentai", "fetish", "nude", "provocative", "obscene", "vulgar", "intimate", "kinky", "hardcore",
+        "threesome", "orgy", "masturbation", "genital", "suicide", 
+        "self-harm", "depression", "kill myself", "worthless"
+    ]
+    for keyword in explicit_keywords:
+        if keyword.lower() in prompt.lower():
+            return True
+    return False
+
+# Function to generate an image from a text prompt
+def generate_image(prompt, negative_prompt=None, height=512, width=512, model="stabilityai/stable-diffusion-2-1", num_inference_steps=50, guidance_scale=7.5, seed=None):
+    try:
+        # Generate the image using Hugging Face's inference API with additional parameters
+        image = client.text_to_image(
+            prompt=prompt, 
+            negative_prompt=NEGATIVE_PROMPT_FINGERS,
+            height=height, 
+            width=width, 
+            model=model,
+            num_inference_steps=num_inference_steps,  # Control the number of inference steps
+            guidance_scale=guidance_scale,  # Control the guidance scale
+            seed=seed  # Control the seed for reproducibility
+        )
+        return image  # Return the generated image
+    except Exception as e:
+        print(f"Error generating image: {str(e)}")
+        return None
+
+# Flask route for the API endpoint to generate an image
+@app.route('/generate_image', methods=['POST'])
+def generate_api():
+    data = request.get_json()
+
+    # Extract required fields from the request
+    prompt = data.get('prompt', '')
+    negative_prompt = data.get('negative_prompt', None)
+    height = data.get('height', 1024)  # Default height
+    width = data.get('width', 720)  # Default width
+    num_inference_steps = data.get('num_inference_steps', 50)  # Default number of inference steps
+    guidance_scale = data.get('guidance_scale', 7.5)  # Default guidance scale
+    model_name = data.get('model', 'stabilityai/stable-diffusion-2-1')  # Default model
+    seed = data.get('seed', None)  # Seed for reproducibility, default is None
+
+    if not prompt:
+        return jsonify({"error": "Prompt is required"}), 400
+
+    try:
+        # Check for explicit content
+        if is_prompt_explicit(prompt):
+            # Return the pre-defined "thinkgood.png" image
+            return send_file(
+                "nsfw.jpg",
+                mimetype='image/png',
+                as_attachment=False,
+                download_name='thinkgood.png'
+            )
+
+        # Call the generate_image function with the provided parameters
+        image = generate_image(prompt, negative_prompt, height, width, model_name, num_inference_steps, guidance_scale, seed)
+
+        if image:
+            # Save the image to a BytesIO object
+            img_byte_arr = BytesIO()
+            image.save(img_byte_arr, format='PNG')  # Convert the image to PNG
+            img_byte_arr.seek(0)  # Move to the start of the byte stream
+
+            # Send the generated image as a response
+            return send_file(
+                img_byte_arr, 
+                mimetype='image/png', 
+                as_attachment=False,  # Send the file as an attachment
+                download_name='generated_image.png'  # The file name for download
+            )
+        else:
+            return jsonify({"error": "Failed to generate image"}), 500
+    except Exception as e:
+        print(f"Error in generate_api: {str(e)}")  # Log the error
+        return jsonify({"error": str(e)}), 500
+
+# Add this block to make sure your app runs when called
+if __name__ == "__main__":
+    subprocess.Popen(["python", "wk.py"])  # Start awake.py
 
-# Get Spotify authorization URL
-@app.route('/login')
-def login():
-    scopes = "user-read-private user-read-email"
-    auth_url = f"{SPOTIFY_AUTH_URL}?response_type=code&client_id={CLIENT_ID}&scope={scopes}&redirect_uri={REDIRECT_URI}"
-    return redirect(auth_url)
-
-# Callback to handle the access token
-@app.route('/callback')
-def callback():
-    code = request.args.get('code')
-    auth_response = requests.post(SPOTIFY_TOKEN_URL, data={
-        "grant_type": "authorization_code",
-        "code": code,
-        "redirect_uri": REDIRECT_URI,
-        "client_id": CLIENT_ID,
-        "client_secret": CLIENT_SECRET,
-    })
-    response_data = auth_response.json()
-    access_token = response_data.get("access_token")
-    return jsonify({"access_token": access_token})
-
-# Fetch data from Spotify API
-@app.route('/api/podcasts')
-def get_podcasts():
-    token = request.args.get('token')  # Pass access_token as a query param
-    headers = {"Authorization": f"Bearer {token}"}
-    response = requests.get(f"{SPOTIFY_API_URL}/browse/categories/podcasts", headers=headers)
-    return jsonify(response.json())
-
-if __name__ == '__main__':
-    subprocess.Popen(["python", "wk.py"])
-    app.run(host='0.0.0.0', port=5001)
+    app.run(host='0.0.0.0', port=7860)  # Run directly if needed for testing