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Update app.py
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app.py
CHANGED
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from flask import Flask, request, jsonify
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import os
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from flask_cors import CORS
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app = Flask(__name__)
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openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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CORS(app)
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assistant_id = "asst_R7FO44rNY25nJeSszxHktjAR" # Replace with your actual Assistant ID
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def chat():
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while run.status != "completed":
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run = openai_client.beta.threads.runs.retrieve(thread_id=thread.id, run_id=run.id)
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return jsonify({"reply": bot_reply})
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from flask import Flask, request, jsonify
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import openai
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import os
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app = Flask(__name__)
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# Set your OpenAI API key
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openai.api_key = "sk-..." # Replace with your actual key
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# Your Assistant ID (from platform.openai.com)
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ASSISTANT_ID = "asst_izF6HxamgRWJf8RnMf7tdoMA"
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# Store thread IDs per session/user if needed
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thread_store = {}
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@app.route("/chat", methods=["POST"])
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def chat():
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user_input = request.json.get("message")
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user_id = request.json.get("user_id", "default")
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# Create a thread if not exists
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if user_id not in thread_store:
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thread = openai.beta.threads.create()
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thread_store[user_id] = thread.id
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thread_id = thread_store[user_id]
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# Step 1: Add message to thread
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openai.beta.threads.messages.create(
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thread_id=thread_id,
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role="user",
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content=user_input
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)
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# Step 2: Run the assistant
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run = openai.beta.threads.runs.create(
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thread_id=thread_id,
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assistant_id=ASSISTANT_ID
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)
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# Step 3: Wait for completion (polling)
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import time
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while True:
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run_status = openai.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
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if run_status.status == "completed":
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break
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elif run_status.status == "failed":
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return jsonify({"error": "Run failed"}), 500
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time.sleep(1)
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# Step 4: Fetch response
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messages = openai.beta.threads.messages.list(thread_id=thread_id)
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response_text = messages.data[0].content[0].text.value
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return jsonify({"response": response_text})
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if __name__ == "__main__":
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app.run(debug=True)
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