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--- |
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license: mit |
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datasets: |
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- ParlAI/blended_skill_talk |
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- convai-challenge/conv_ai_2 |
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- allenai/social_i_qa |
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language: |
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- en |
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- ru |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- perplexity |
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- bleu |
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- rouge |
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base_model: |
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- SkillForge45/CyberFuture-1 |
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new_version: SkillForge45/CyberFuture-2 |
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pipeline_tag: text-generation |
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library_name: transformers |
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tags: |
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- legal |
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--- |
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# CyberFuture - Chat With AI |
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Uptades: |
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**-Web Search** |
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# Installation |
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1. Clone the model: |
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```bash |
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git clone https://huggingface.co/SkillForge45/CyberFuture-3 |
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``` |
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2. Install all requirements: |
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```bash |
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pip install torch transformers datasets googlesearch-python pyttsx3 speechrecognition fastapi uvicorn |
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``` |
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# Usage |
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**METHOD #1 (HTML web interface):** |
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1. Launch the server: |
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```bash |
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python app.py |
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``` |
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2. Start the HTML file (html_main.html) |
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**METHOD #2 (Python Uasge)** |
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Use this Python code: |
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```python |
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from model import ChatBot |
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# Initialize the chatbot |
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bot = ChatBot() |
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# Optionally train the model (requires GPU for good performance) |
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bot.train(epochs=3) |
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# Chat with web search |
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response = bot.generate_response("What's the latest news about AI?", use_web=True) |
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print(response) |
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# Voice interaction (requires microphone) |
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bot.voice_interface.speak(response) |
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user_input = bot.voice_interface.listen() |
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``` |
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**METHOD #3 (Console)** |
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1. Text Chat: |
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```bash |
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curl -X POST "http://localhost:8000/chat/" \ |
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-H "Content-Type: application/x-www-form-urlencoded" \ |
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-d "prompt=What's the weather in London today?&use_web=true" #web search, if you not need web: use_web=False |
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``` |
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2. Voice Chat: |
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```bash |
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curl -X POST "http://localhost:8000/chat/" \ |
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-F "audio_file=@your_recording.wav" \ |
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-F "use_web=true" \ |
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-F "use_voice=true" |
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``` |
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**METHOD 4 (Server)** |
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Start the app.py and go to http://localhost:8000/chat |
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# License |
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This model is licensed, see the LICENSE for more information |
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