├── requirements.txt
├── README.md
└── app.py


/requirements.txt:
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1 | g4f[all]
2 | gradio
3 | 


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/README.md:
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 1 | # AI Assistant Chatbot
 2 | 
 3 | This project creates an AI-powered assistant chatbot using GPT4Free and interfaces it with a Gradio web UI for easy interaction.
 4 | 
 5 | ## Setup
 6 | 
 7 | 1. Clone the repository to your local machine.
 8 | 2. Install the required Python packages with `pip install -r requirements.txt`.
 9 | 3. Run the chatbot with `app.py`.
10 | 
11 | ## Usage
12 | 
13 | After running the script, a Gradio interface will open in your default web browser. Type your questions or commands into the input box, and the chatbot will respond.
14 | 
15 | ## Contributing
16 | 
17 | Feel free to fork the project, make changes, and submit pull requests if you have suggestions for improvements!
18 | 


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/app.py:
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 1 | # Import necessary libraries
 2 | from g4f.client import Client
 3 | import gradio as gr
 4 | 
 5 | # Initialize the G4F client
 6 | client = Client()
 7 | 
 8 | # Define the function for generating creative writing prompts
 9 | def generate_writing_prompt(user_input):
10 |     response = client.chat.completions.create(
11 |         model="gpt-3.5-turbo",
12 |         messages=[{"role": "user", "content": user_input}],
13 |     )
14 |     return response.choices[0].message.content
15 | 
16 | # Gradio userinterface...
17 | interface = gr.Interface(
18 |     fn=generate_writing_prompt,
19 |     inputs=gr.Textbox(lines=3, placeholder="Enter a genre, tone, or initial plot point..."),
20 |     outputs="text",
21 |     title="Creative Writing Assistant 📝",
22 |     description="Unleash your creativity! Get inspired with unique story ideas, prompts, and plot twists.",
23 |     theme="huggingface",
24 |     examples=[
25 |         ["A story about a lost civilization discovering technology."],
26 |         ["Compose a poem about the changing seasons."],
27 |         ["A suspense thriller set in an abandoned mansion."],
28 |     ]
29 | )
30 | 
31 | 
32 | # Launch the interface
33 | if __name__ == "__main__":
34 |     interface.launch()


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