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Download app.py from Manvikk/manvik-assistant-bot: direct link, hf CLI and curl.
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- Download file 1.1 kB
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https://huggingface.co/spaces/Manvikk/manvik-assistant-bot/resolve/main/app.py
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hf download hf://spaces/Manvikk/manvik-assistant-bot/app.py
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curl -L -o app.py https://huggingface.co/spaces/Manvikk/manvik-assistant-bot/resolve/main/app.py
1.1 kB
| from flask import Flask, request, jsonify | |
| import json | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import torch | |
| app = Flask(__name__) | |
| # Load AI Model | |
| model_name = "HuggingFaceH4/zephyr-7b-beta" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| # Load Personal Data | |
| with open("data.json", "r") as f: | |
| user_data = json.load(f) | |
| def get_ai_response(user_message): | |
| """ Generate AI response using Hugging Face Model """ | |
| inputs = tokenizer(user_message, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_length=200) | |
| reply = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| return f"This is {user_data['assistant_name']}: {reply}" | |
| def reply(): | |
| data = request.json | |
| user_message = data.get("message", "") | |
| if not user_message: | |
| return jsonify({"reply": "I will answer later."}) | |
| ai_reply = get_ai_response(user_message) | |
| return jsonify({"reply": ai_reply}) | |
| if __name__ == "__main__": | |
| app.run(host="0.0.0.0", port=7860) |