results.txt  story_app.py                             ~ $ nano story_app.py
~ $ cat story_app.py                                  import requests
import os                                             
# 1. SETUP - Replace 'YOUR_TOKEN_HERE' with your real Hugging Face token
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"} 
def generate_video_from_story():
    # 2. THE STORY INPUT
    print("\n--- StoryViz AI ---")
    story = input("Enter your story: ")                   print("🎨 AI is drawing your story... please wait.")                                                    
    # 3. GENERATE THE IMAGE
    response = requests.post(API_URL, headers=headers, json={"inputs": story})

    if response.status_code == 200:
        with open("scene.jpg", "wb") as f:
            f.write(response.content)
        print("✅ Image generated!")

        # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
        print("🎬 Converting image to a 5-second video...")
        os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")

        print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
    else:
        print(f"❌ Error: {response.status_code}. Check your Token!")

if __name__ == "__main__":
    generate_video_from_story()

tus_code == 200:
        with open("scene.jpg", "wb") as f:
            f.write(response.content)
        print("✅ Image generated!")

        # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
        print("🎬 Converting image to a 5-second video...")
        # This command takes the image and loops it for 5 seconds
        os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")

        print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
        print("To view it, move it to your phone storage using:")
        print("termux-setup-storage && cp story_video.mp4 /sdcard/")
    else:
        print("❌ Error: AI is busy or Token is wrong.")

generate_video_from_story()
The program import is not installed. Install it by executing:
 pkg install imagemagick
~ $ import os
The program import is not installed. Install it by executing:
 pkg install imagemagick
~ $ import time
The program import is not installed. Install it by executing:
 pkg install imagemagick
~ $
~ $ # 1. SETUP
~ $ API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
API_URL: command not found
~ $ headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"}
No command headers found, did you mean:
 Command feathers in package chicken
 Command head in package coreutils
 Command heimer in package heimer from the x11-repo repository
 Command hexer in package hexer
 Command readelf in package llvm
 Command folders in package mailutils
 Command gears in package mesa-demos from the x11-repo repository
 Command folders in package nmh
 Command sneakers in package no-more-secrets
~ $
~ $ def generate_video_from_story():
bash: syntax error near unexpected token `('
~ $     # 2. THE STORY INPUT
~ $     story = input("Enter your story: ")
bash: syntax error near unexpected token `('
~ $     print("🎨 AI is drawing your story...")
bash: syntax error near unexpected token `"🎨 AI is drawing your story..."'
~ $
~ $     # 3. GENERATE THE IMAGE
~ $     response = requests.post(API_URL, headers=headers, json={"inputs": story})
bash: syntax error near unexpected token `('
~ $
~ $     if response.status_code == 200:
>         with open("scene.jpg", "wb") as f:
bash: syntax error near unexpected token `('
~ $             f.write(response.content)
bash: syntax error near unexpected token `response.content'
~ $         print("✅ Image generated!")
bash: syntax error near unexpected token `"✅ Image generated!"'
~ $
~ $         # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
~ $         print("🎬 Converting image to a 5-second video...")
bash: syntax error near unexpected token `"🎬 Converting image to a 5-second video..."'
~ $         # This command takes the image and loops it for 5 seconds
~ $         os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")
bash: syntax error near unexpected token `"ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y"'
~ $
~ $         print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
bash: syntax error near unexpected token `"\n🚀 SUCCESS! Your video is saved as: story_video.mp4"'
~ $         print("To view it, move it to your phone storage using:")
bash: syntax error near unexpected token `"To view it, move it to your phone storage using:"'
~ $         print("termux-setup-storage && cp story_video.mp4 /sdcard/")
bash: syntax error near unexpected token `"termux-setup-storage && cp story_video.mp4 /sdcard/"'
~ $     else:
No command else: found, did you mean:
 Command plser in package libgnustep-base
~ $         print("❌ Error: AI is busy or Token is wrong.")
bash: syntax error near unexpected token `"❌ Error: AI is busy or Token is wrong."'
~ $
~ $ generate_video_from_story()import requests
import os
import time

# 1. SETUP
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"}

def generate_video_from_story():
    # 2. THE STORY INPUT
    story = input("Enter your story: ")
    print("🎨 AI is drawing your story...")

    # 3. GENERATE THE IMAGE
    response = requests.post(API_URL, headers=headers, json={"inputs": story})

    if response.status_code == 200:
        with open("scene.jpg", "wb") as f:
            f.write(response.content)
        print("✅ Image generated!")

        # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
        print("🎬 Converting image to a 5-second video...")
        # This command takes the image and loops it for 5 seconds
        os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")

        print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
        print("To view it, move it to your phone storage using:")
        print("termux-setup-storage && cp story_video.mp4 /sdcard/")
    else:
        print("❌ Error: AI is busy or Token is wrong.")

generate_video_from_story()
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://router.huggingface.co/v1",
    api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
    model="moonshotai/Kimi-K2-Instruct-0905",
    messages=[
        {
            "role": "user",
            "content": "Generate a list of 10 interesting facts about space."
        }
    ],
)

print(completion.choices[0].message)import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="wavespeed",
    api_key=os.environ["HF_TOKEN"],
)

# output is a PIL.Image object
image = client.text_to_image(
    "A robot playing chess with a human",
    model="black-forest-labs/FLUX.1-dev",
)

~ $ cat story_app.py
import requests
import os

# 1. SETUP - Replace 'YOUR_TOKEN_HERE' with your real Hugging Face token
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"}

def generate_video_from_story():
    # 2. THE STORY INPUT
    print("\n--- StoryViz AI ---")
    story = input("Enter your story: ")
    print("🎨 AI is drawing your story... please wait.")

    # 3. GENERATE THE IMAGE
    response = requests.post(API_URL, headers=headers, json={"inputs": story})

    if response.status_code == 200:
        with open("scene.jpg", "wb") as f:
            f.write(response.content)
        print("✅ Image generated!")

        # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
        print("🎬 Converting image to a 5-second video...")
        os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")

        print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
    else:
        print(f"❌ Error: {response.status_code}. Check your Token!")

if __name__ == "__main__":
    generate_video_from_story()

tus_code == 200:
        with open("scene.jpg", "wb") as f:
            f.write(response.content)
        print("✅ Image generated!")

        # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
        print("🎬 Converting image to a 5-second video...")
        # This command takes the image and loops it for 5 seconds
        os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")

        print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
        print("To view it, move it to your phone storage using:")
        print("termux-setup-storage && cp story_video.mp4 /sdcard/")
    else:
        print("❌ Error: AI is busy or Token is wrong.")

generate_video_from_story()
The program import is not installed. Install it by executing:
 pkg install imagemagick
~ $ import os
The program import is not installed. Install it by executing:
 pkg install imagemagick
~ $ import time
The program import is not installed. Install it by executing:
 pkg install imagemagick
~ $
~ $ # 1. SETUP
~ $ API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
API_URL: command not found
~ $ headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"}
No command headers found, did you mean:
 Command feathers in package chicken
 Command head in package coreutils
 Command heimer in package heimer from the x11-repo repository
 Command hexer in package hexer
 Command readelf in package llvm
 Command folders in package mailutils
 Command gears in package mesa-demos from the x11-repo repository
 Command folders in package nmh
 Command sneakers in package no-more-secrets
~ $
~ $ def generate_video_from_story():
bash: syntax error near unexpected token `('
~ $     # 2. THE STORY INPUT
~ $     story = input("Enter your story: ")
bash: syntax error near unexpected token `('
~ $     print("🎨 AI is drawing your story...")
bash: syntax error near unexpected token `"🎨 AI is drawing your story..."'
~ $
~ $     # 3. GENERATE THE IMAGE
~ $     response = requests.post(API_URL, headers=headers, json={"inputs": story})
bash: syntax error near unexpected token `('
~ $
~ $     if response.status_code == 200:
>         with open("scene.jpg", "wb") as f:
bash: syntax error near unexpected token `('
~ $             f.write(response.content)
bash: syntax error near unexpected token `response.content'
~ $         print("✅ Image generated!")
bash: syntax error near unexpected token `"✅ Image generated!"'
~ $
~ $         # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
~ $         print("🎬 Converting image to a 5-second video...")
bash: syntax error near unexpected token `"🎬 Converting image to a 5-second video..."'
~ $         # This command takes the image and loops it for 5 seconds
~ $         os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")
bash: syntax error near unexpected token `"ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y"'
~ $
~ $         print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
bash: syntax error near unexpected token `"\n🚀 SUCCESS! Your video is saved as: story_video.mp4"'
~ $         print("To view it, move it to your phone storage using:")
bash: syntax error near unexpected token `"To view it, move it to your phone storage using:"'
~ $         print("termux-setup-storage && cp story_video.mp4 /sdcard/")
bash: syntax error near unexpected token `"termux-setup-storage && cp story_video.mp4 /sdcard/"'
~ $     else:
No command else: found, did you mean:
 Command plser in package libgnustep-base
~ $         print("❌ Error: AI is busy or Token is wrong.")
bash: syntax error near unexpected token `"❌ Error: AI is busy or Token is wrong."'
~ $
~ $ generate_video_from_story()import requests
import os
import time

# 1. SETUP
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
headers = {"Authorization": "Bearer YOUR_TOKEN_HERE"}

def generate_video_from_story():
    # 2. THE STORY INPUT
    story = input("Enter your story: ")
    print("🎨 AI is drawing your story...")

    # 3. GENERATE THE IMAGE
    response = requests.post(API_URL, headers=headers, json={"inputs": story})

    if response.status_code == 200:
        with open("scene.jpg", "wb") as f:
            f.write(response.content)
        print("✅ Image generated!")

        # 4. TURN IMAGE INTO VIDEO (Using ffmpeg)
        print("🎬 Converting image to a 5-second video...")
        # This command takes the image and loops it for 5 seconds
        os.system("ffmpeg -loop 1 -i scene.jpg -c:v libx264 -t 5 -pix_fmt yuv420p story_video.mp4 -y")

        print("\n🚀 SUCCESS! Your video is saved as: story_video.mp4")
        print("To view it, move it to your phone storage using:")
        print("termux-setup-storage && cp story_video.mp4 /sdcard/")
    else:
        print("❌ Error: AI is busy or Token is wrong.")

generate_video_from_story()
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://router.huggingface.co/v1",
    api_key=os.environ["HF_TOKEN"],
)

completion = client.chat.completions.create(
    model="moonshotai/Kimi-K2-Instruct-0905",
    messages=[
        {
            "role": "user",
            "content": "Generate a list of 10 interesting facts about space."
        }
    ],
)

print(completion.choices[0].message)import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="wavespeed",
    api_key=os.environ["HF_TOKEN"],
)

# output is a PIL.Image object
image = client.text_to_image(
    "A robot playing chess with a human",
    model="black-forest-labs/FLUX.1-dev",
)