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Update app.py
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app.py
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@@ -1,22 +1,18 @@
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import os
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from flask import Flask, render_template, request, jsonify
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import
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import requests
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from dotenv import load_dotenv
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from utils import create_case_in_salesforce
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# Load environment variables from .env file
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load_dotenv()
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# Set up API keys
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HUGGINGFACE_API_KEY = os.getenv('HUGGINGFACE_API_KEY')
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SALESFORCE_API_URL = os.getenv('SALESFORCE_API_URL')
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SALESFORCE_API_KEY = os.getenv('SALESFORCE_API_KEY')
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# Set up Flask app
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app = Flask(__name__)
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#
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client = InferenceClient(HUGGINGFACE_API_KEY)
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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@@ -58,10 +54,6 @@ def chat():
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# Get response from Hugging Face model
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bot_reply = respond(user_message, history, system_message, max_tokens, temperature, top_p)
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# If the FAQ response requires a case to be created, initiate the case creation
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if "create a case" in bot_reply.lower():
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create_case_in_salesforce(user_message)
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return jsonify({'response': bot_reply})
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# Home page for the chatbot UI
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import os
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from flask import Flask, render_template, request, jsonify
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from huggingface_hub import InferenceClient # Import InferenceClient correctly
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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# Set up API keys
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HUGGINGFACE_API_KEY = os.getenv('HUGGINGFACE_API_KEY')
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# Set up Flask app
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app = Flask(__name__)
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# Initialize the Hugging Face API Client
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client = InferenceClient(HUGGINGFACE_API_KEY)
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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# Get response from Hugging Face model
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bot_reply = respond(user_message, history, system_message, max_tokens, temperature, top_p)
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return jsonify({'response': bot_reply})
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# Home page for the chatbot UI
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