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Update app.py
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app.py
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@@ -1,22 +1,6 @@
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from flask import Flask, request, jsonify
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from huggingface_hub import InferenceClient
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from gunicorn.glogging import Logger
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class Config:
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loglevel = "info"
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# errorlog = "error.log" # Log file for errors
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# accesslog = "access.log" # Log file for access logs
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syslog = False
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syslog_facility = "daemon"
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syslog_prefix = "gunicorn"
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capture_output = True
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logconfig = None
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logconfig_json = None
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logconfig_dict = None
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disable_redirect_access_to_syslog = False
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cfg = Config()
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app = Flask(__name__)
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logger = Logger(cfg)
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client = InferenceClient("meta-llama/Llama-3.1-8B-Instruct")
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DEFAULT_MAX_TOKENS = 512
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DEFAULT_TEMPERATURE = 0.7
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@@ -28,7 +12,7 @@ def generate_journal_suggestion(current_page):
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f"""Pe baza înregistrării din jurnal: '{current_page}', generează o singură întrebare pe care utilizatorul ar putea să și-o pună într-un jurnal.
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Întrebarea ar trebui să încurajeze reflecția personală mai profundă, explorarea sentimentelor sau clarificarea obiectivelor."""
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)
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logger.info("Generated suggestion prompt: %s", suggestion_prompt)
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suggestion_response = ""
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response_stream = client.chat_completion(
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temperature=DEFAULT_TEMPERATURE,
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top_p=DEFAULT_TOP_P,
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)
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logger.info("Response stream received.")
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for message in response_stream:
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logger.info("Message received: %s", message)
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@@ -50,8 +34,7 @@ def generate_journal_suggestion(current_page):
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return suggestion_response
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except Exception as e:
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return jsonify({"error": str(e)}), 500
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@app.route("/", methods=["POST", "GET"])
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def home():
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@app.route("/chat", methods=["POST"])
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def chat():
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journal_page = data.get("journal_page", "")
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except Exception as e:
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logger.error("Error in chat endpoint: %s", e)
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return jsonify({"error": str(e)}), 500
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if __name__ == "__main__":
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app.run(debug=True)
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from flask import Flask, request, jsonify
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from huggingface_hub import InferenceClient
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app = Flask(__name__)
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client = InferenceClient("meta-llama/Llama-3.1-8B-Instruct")
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DEFAULT_MAX_TOKENS = 512
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DEFAULT_TEMPERATURE = 0.7
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f"""Pe baza înregistrării din jurnal: '{current_page}', generează o singură întrebare pe care utilizatorul ar putea să și-o pună într-un jurnal.
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Întrebarea ar trebui să încurajeze reflecția personală mai profundă, explorarea sentimentelor sau clarificarea obiectivelor."""
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)
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# logger.info("Generated suggestion prompt: %s", suggestion_prompt)
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suggestion_response = ""
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response_stream = client.chat_completion(
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temperature=DEFAULT_TEMPERATURE,
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top_p=DEFAULT_TOP_P,
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)
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# logger.info("Response stream received.")
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for message in response_stream:
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logger.info("Message received: %s", message)
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return suggestion_response
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except Exception as e:
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return jsonify({"error": str(e)})
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@app.route("/", methods=["POST", "GET"])
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def home():
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@app.route("/chat", methods=["POST"])
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def chat():
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data = request.json
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message = data.get("message", "")
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system_message = data.get("system_message", "You are a friendly chatbot.")
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journal_page = data.get("journal_page", "")
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suggestion = ""
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if journal_page:
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suggestion = generate_journal_suggestion(journal_page)
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return jsonify({"journal_suggestion": suggestion})
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if __name__ == "__main__":
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app.run(debug=True)
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