| results.txt story_app.py ~ $ nano story_app.py |
| ~ $ cat story_app.py import requests |
| import os |
| |
| 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(): |
| |
| print("\n--- StoryViz AI ---") |
| story = input("Enter your story: ") print("🎨 AI is drawing your story... please wait.") |
| |
| 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!") |
|
|
| |
| 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!") |
|
|
| |
| 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") |
| 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 |
| ~ $ |
| ~ $ |
| ~ $ 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..."' |
| ~ $ |
| ~ $ 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 `(' |
| ~ $ |
| ~ $ 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..."' |
| ~ $ |
| ~ $ |
| ~ $ 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!"' |
| ~ $ |
| ~ $ |
| ~ $ 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 |
|
|
| |
| 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(): |
| |
| story = input("Enter your story: ") |
| print("🎨 AI is drawing your story...") |
|
|
| |
| 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!") |
|
|
| |
| 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") |
| 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"], |
| ) |
|
|
| |
| image = client.text_to_image( |
| "A robot playing chess with a human", |
| model="black-forest-labs/FLUX.1-dev", |
| ) |
