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from fastapi import FastAPI, Request | |
from fastapi.middleware.cors import CORSMiddleware # Importa il middleware CORS | |
from pydantic import BaseModel | |
from huggingface_hub import InferenceClient | |
from datetime import datetime | |
from gradio_client import Client | |
import base64 | |
import requests | |
import os | |
import socket | |
import time | |
from enum import Enum | |
#--------------------------------------------------- Definizione Server FAST API ------------------------------------------------------ | |
app = FastAPI() | |
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") | |
app.add_middleware( | |
CORSMiddleware, | |
allow_origins=["*"], | |
allow_credentials=True, | |
allow_methods=["*"], | |
allow_headers=["*"], | |
) | |
class InputData(BaseModel): | |
input: str | |
temperature: float = 0.2 | |
max_new_tokens: int = 30000 | |
top_p: float = 0.95 | |
repetition_penalty: float = 1.0 | |
class PostSpazio(BaseModel): | |
nomeSpazio: str | |
input: str = '' | |
api_name: str = "/chat" | |
#--------------------------------------------------- Generazione TESTO ------------------------------------------------------ | |
def read_root(request: Request, input_data: InputData): | |
input_text = input_data.input | |
temperature = input_data.temperature | |
max_new_tokens = input_data.max_new_tokens | |
top_p = input_data.top_p | |
repetition_penalty = input_data.repetition_penalty | |
history = [] | |
generated_response = generate(input_text, history, temperature, max_new_tokens, top_p, repetition_penalty) | |
return {"response": generated_response} | |
def generate(prompt, history, temperature=0.2, max_new_tokens=30000, top_p=0.95, repetition_penalty=1.0): | |
temperature = float(temperature) | |
if temperature < 1e-2: | |
temperature = 1e-2 | |
top_p = float(top_p) | |
generate_kwargs = dict( | |
temperature=temperature, | |
max_new_tokens=max_new_tokens, | |
top_p=top_p, | |
repetition_penalty=repetition_penalty, | |
do_sample=True, | |
seed=42, | |
) | |
formatted_prompt = format_prompt(prompt, history) | |
output = client.text_generation(formatted_prompt, **generate_kwargs, stream=False, details=False) | |
return output | |
def format_prompt(message, history): | |
prompt = "<s>" | |
for user_prompt, bot_response in history: | |
prompt += f"[INST] {user_prompt} [/INST]" | |
prompt += f" {bot_response}</s> " | |
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f") | |
prompt += f"[{now}] [INST] {message} [/INST]" | |
return prompt | |
#--------------------------------------------------- Generazione IMMAGINE ------------------------------------------------------ | |
style_image = { | |
"PROFESSIONAL-PHOTO": { | |
"descrizione": "Professional photo {prompt} . Vivid colors, Mirrorless, 35mm lens, f/1.8 aperture, ISO 100, natural daylight", | |
"negativePrompt": "out of frame, lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature" | |
}, | |
"CINEMATIC-PHOTO": { | |
"descrizione": "cinematic photo {prompt} . 35mm photograph, film, bokeh, professional, 4k, highly detailed", | |
"negativePrompt": "drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly" | |
}, | |
"CINEMATIC-PORTRAIT": { | |
"descrizione": "cinematic portrait {prompt} 8k, ultra realistic, good vibes, vibrant", | |
"negativePrompt": "drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly" | |
}, | |
"LINE-ART-DRAWING": { | |
"descrizione": "line art drawing {prompt} . professional, sleek, modern, minimalist, graphic, line art, vector graphics", | |
"negativePrompt": "anime, photorealistic, 35mm film, deformed, glitch, blurry, noisy, off-center, deformed, cross-eyed, closed eyes, bad anatomy, ugly, disfigured, mutated, realism, realistic, impressionism, expressionism, oil, acrylic" | |
}, | |
"COMIC": { | |
"descrizione": "comic {prompt} . graphic illustration, comic art, graphic novel art, vibrant, highly detailed", | |
"negativePrompt": "photograph, deformed, glitch, noisy, realistic, stock photo" | |
}, | |
"ADVERTISING-POSTER-STYLE": { | |
"descrizione": "advertising poster style {prompt} . Professional, modern, product-focused, commercial, eye-catching, highly detailed", | |
"negativePrompt": "noisy, blurry, amateurish, sloppy, unattractive" | |
}, | |
"RETAIL-PACKAGING-STYLE": { | |
"descrizione": "retail packaging style {prompt} . vibrant, enticing, commercial, product-focused, eye-catching, professional, highly detailed", | |
"negativePrompt": "noisy, blurry, amateurish, sloppy, unattractive" | |
}, | |
"GRAFFITI-STYLE": { | |
"descrizione": "graffiti style {prompt} . street art, vibrant, urban, detailed, tag, mural", | |
"negativePrompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic" | |
}, | |
"POP-ART-STYLE": { | |
"descrizione": "pop Art style {prompt} . bright colors, bold outlines, popular culture themes, ironic or kitsch", | |
"negativePrompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic, minimalist" | |
}, | |
"ISOMETRIC-STYLE": { | |
"descrizione": "isometric style {prompt} . vibrant, beautiful, crisp, detailed, ultra detailed, intricate", | |
"negativePrompt": "deformed, mutated, ugly, disfigured, blur, blurry, noise, noisy, realistic, photographic" | |
}, | |
"LOW-POLY-STYLE": { | |
"descrizione": "low-poly style {prompt}. ambient occlusion, low-poly game art, polygon mesh, jagged, blocky, wireframe edges, centered composition", | |
"negativePrompt": "noisy, sloppy, messy, grainy, highly detailed, ultra textured, photo" | |
}, | |
"CLAYMATION-STYLE": { | |
"descrizione": "claymation style {prompt} . sculpture, clay art, centered composition, play-doh", | |
"negativePrompt": "" | |
}, | |
"PROFESSIONAL-3D-MODEL": { | |
"descrizione": "professional 3d model {prompt} . octane render, highly detailed, volumetric, dramatic lighting", | |
"negativePrompt": "ugly, deformed, noisy, low poly, blurry, painting" | |
}, | |
"ANIME-ARTWORK": { | |
"descrizione": "anime artwork {prompt} . anime style, key visual, vibrant, studio anime, highly detailed", | |
"negativePrompt": "photo, deformed, black and white, realism, disfigured, low contrast" | |
}, | |
"ETHEREAL-FANTASY-CONCEPT-ART": { | |
"descrizione": "ethereal fantasy concept art of {prompt} . magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamy", | |
"negativePrompt": "photographic, realistic, realism, 35mm film, dslr, cropped, frame, text, deformed, glitch, noise, noisy, off-center, deformed, cross-eyed, closed eyes, bad anatomy, ugly, disfigured, sloppy, duplicate, mutated, black and white" | |
}, | |
"CYBERNETIC-STYLE": { | |
"descrizione": "cybernetic style {prompt} . futuristic, technological, cybernetic enhancements, robotics, artificial intelligence themes", | |
"negativePrompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic, historical, medieval" | |
}, | |
"FUTURISTIC-STYLE": { | |
"descrizione": "futuristic style {prompt} . sleek, modern, ultramodern, high tech, detailed", | |
"negativePrompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic, vintage, antique" | |
}, | |
"SCI-FI-STYLE": { | |
"descrizione": "sci-fi style {prompt} . futuristic, technological, alien worlds, space themes, advanced civilizations", | |
"negativePrompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic, historical, medieval" | |
}, | |
"DIGITAL-ART": { | |
"descrizione": "Digital Art {prompt} . vibrant, cute, digital, handmade", | |
"negativePrompt": "" | |
}, | |
"SIMPLE-LOGO": { | |
"descrizione": "Minimalist Logo {prompt} . material design, primary colors, stylized, minimalist", | |
"negativePrompt": "3D, high detail, noise, grainy, blurry, painting, drawing, photo, disfigured" | |
}, | |
"MINIMALISTIC-LOGO": { | |
"descrizione": "Ultra-minimalist Material Design logo for a BRAND: {prompt} . simple, few colors, clean lines, minimal details, modern color palette, no shadows", | |
"negativePrompt": "3D, high detail, noise, grainy, blurry, painting, drawing, photo, disfigured" | |
} | |
} | |
def create_style_enum(style_image): | |
return Enum("StyleEnum", [(style, style) for style in style_image.keys()]) | |
enum_styles = create_style_enum(style_image) | |
class InputImage(BaseModel): | |
input: str | |
negativePrompt: str = '' | |
style: Enum = Enum("StyleEnum", [(style, style) for style in style_image.keys()]) | |
steps: int = 30 | |
cfg: int = 7 | |
seed: int = -1 | |
def generate_image(request: Request, input_data: InputImage): | |
client = Client("https://openskyml-fast-sdxl-stable-diffusion-xl.hf.space/--replicas/545b5tw7n/") | |
if input_data.style: | |
if input_data.style in style_image: | |
style_info = style_image[input_data.style] | |
input_data.input = style_info["descrizione"].format(prompt=input_data.input) | |
input_data.negativePrompt = style_info["negativePrompt"] | |
max_attempts = 20 | |
attempt = 0 | |
while attempt < max_attempts: | |
try: | |
result = client.predict( | |
input_data.input, | |
input_data.negativePrompt, | |
input_data.steps, | |
input_data.cfg, | |
1024, | |
1024, | |
input_data.seed, | |
fn_index=0 | |
) | |
image_url = result | |
with open(image_url, 'rb') as img_file: | |
img_binary = img_file.read() | |
img_base64 = base64.b64encode(img_binary).decode('utf-8') | |
return {"response": img_base64} | |
except requests.exceptions.HTTPError as e: | |
time.sleep(1) | |
attempt += 1 | |
if attempt < max_attempts: | |
continue | |
else: | |
return {"error": "Errore interno del server persistente"} | |
return {"error": "Numero massimo di tentativi raggiunto"} | |
#--------------------------------------------------- API PostSpazio ------------------------------------------------------ | |
def generate_image(request: Request, input_data: PostSpazio): | |
client = Client(input_data.nomeSpazio) | |
result = client.predict( | |
input_data.input, | |
api_name=input_data.api_name | |
) | |
return {"response": result} | |
def read_general(): | |
return {"response": "Benvenuto. Per maggiori info: https://matteoscript-fastapi.hf.space/docs"} | |