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Update app.py
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app.py
CHANGED
@@ -1,57 +1,57 @@
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import os
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from flask import Flask, render_template, request, jsonify
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import requests
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import time
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from dotenv import load_dotenv
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load_dotenv() # Load environment variables from .env file
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app = Flask(__name__)
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class APIInferenceChatbot:
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def __init__(self, api_token):
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self.api_url = "https://api-inference.huggingface.co/models/Ouiam123/Llama-2-7b-chat-finetune-tourism"
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self.headers = {
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"Authorization": f"Bearer {api_token}",
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"Content-Type": "application/json"
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}
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def generate_response(self, input_text):
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formatted_prompt = f"<s>[INST] {input_text} [/INST>"
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payload = {
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"inputs": formatted_prompt,
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"parameters": {
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"max_new_tokens": 500,
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"temperature": 0.7,
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"top_p": 0.95,
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"repetition_penalty": 1.15
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}
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}
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response = requests.post(self.api_url, headers=self.headers, json=payload, timeout=30)
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if response.status_code == 503:
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time.sleep(20)
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response = requests.post(self.api_url, headers=self.headers, json=payload)
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response.raise_for_status()
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result = response.json()
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return result[0].get('generated_text', '').strip() if isinstance(result, list) and result else str(result)
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# Get the API token from the environment variable
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api_token = os.getenv("
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if not api_token:
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raise ValueError("Hugging Face API token not found in environment variables!")
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# Initialize the chatbot with the API token from the environment
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chatbot = APIInferenceChatbot(api_token)
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@app.route('/')
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def home():
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return render_template('index.html') # Serve the HTML file
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@app.route('/chat', methods=['POST'])
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def chat():
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message = request.json.get('message', '')
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response = chatbot.generate_response(message)
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return jsonify({'response': response}) # Return the response as JSON
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860, debug=True)
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import os
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from flask import Flask, render_template, request, jsonify
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import requests
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import time
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from dotenv import load_dotenv
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load_dotenv() # Load environment variables from .env file
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app = Flask(__name__)
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class APIInferenceChatbot:
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def __init__(self, api_token):
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self.api_url = "https://api-inference.huggingface.co/models/Ouiam123/Llama-2-7b-chat-finetune-tourism"
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self.headers = {
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"Authorization": f"Bearer {api_token}",
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"Content-Type": "application/json"
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}
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def generate_response(self, input_text):
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formatted_prompt = f"<s>[INST] {input_text} [/INST>"
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payload = {
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"inputs": formatted_prompt,
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"parameters": {
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"max_new_tokens": 500,
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"temperature": 0.7,
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"top_p": 0.95,
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"repetition_penalty": 1.15
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}
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}
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response = requests.post(self.api_url, headers=self.headers, json=payload, timeout=30)
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if response.status_code == 503:
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time.sleep(20)
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response = requests.post(self.api_url, headers=self.headers, json=payload)
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response.raise_for_status()
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result = response.json()
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return result[0].get('generated_text', '').strip() if isinstance(result, list) and result else str(result)
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# Get the API token from the environment variable
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api_token = os.getenv("tok1")
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if not api_token:
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raise ValueError("Hugging Face API token not found in environment variables!")
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# Initialize the chatbot with the API token from the environment
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chatbot = APIInferenceChatbot(api_token)
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@app.route('/')
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def home():
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return render_template('index.html') # Serve the HTML file
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@app.route('/chat', methods=['POST'])
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def chat():
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message = request.json.get('message', '')
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response = chatbot.generate_response(message)
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return jsonify({'response': response}) # Return the response as JSON
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860, debug=True)
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