Upload 9 files

app.py

@@ -1,5 +1,5 @@
 from flask import Flask, render_template, request, jsonify
-from llm.agents import query_all_llms
+from llm.agents import query_all_llms_sync  # fixed: use the sync wrapper
 from llm.aggregator import aggregate_responses
 import os
 import dotenv
@@ -7,7 +7,7 @@ import dotenv
 # Load secrets from .env
 dotenv.load_dotenv()
 
-app = Flask(__name__)
+app = Flask(__name__, static_url_path='/static')
 
 @app.route("/")
 def index():
@@ -23,10 +23,9 @@ def chat():
         return jsonify({"error": "Empty prompt."}), 400
 
     try:
-        # Step 1: Query all agents asynchronously
-        agent_outputs = query_all_llms(user_input, settings)
+        # ✅ fixed: run the async LLM queries safely in sync context
+        agent_outputs = query_all_llms_sync(user_input, settings)
 
-        # Step 2: Aggregate responses
         final_response = aggregate_responses(agent_outputs)
 
         return jsonify({"response": final_response})
@@ -35,4 +34,4 @@ def chat():
         return jsonify({"error": str(e)}), 500
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860, debug=False)  # Hugging Face uses port 7860
+    app.run(host="0.0.0.0", port=7860, debug=False)

llm/aggregator.py

@@ -7,4 +7,4 @@ def aggregate_responses(responses: list) -> str:
 
     combined = "\n".join(safe_responses)
 
-    return f"Final synthesized response based on multiple agents:\n{combined}"
+    return f"Final synthesized response based on multiple agents:\n{combined}"

routes/chat.py

@@ -1,17 +1,22 @@
-from flask import Flask, render_template
-from routes.chat import chat_bp
-import os
-import dotenv
+from flask import Blueprint, request, jsonify
+from llm.agents import query_all_llms_sync
+from llm.aggregator import aggregate_responses
 
-# Load secrets from .env
-dotenv.load_dotenv()
+chat_bp = Blueprint("chat", __name__)
 
-app = Flask(__name__, static_url_path='/static')
-app.register_blueprint(chat_bp)
+@chat_bp.route("/chat", methods=["POST"])
+def chat():
+    data = request.get_json()
+    user_input = data.get("prompt", "")
+    settings = data.get("settings", {})
 
-@app.route("/")
-def index():
-    return render_template("index.html")
+    if not user_input:
+        return jsonify({"error": "Empty prompt."}), 400
 
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860, debug=False)  # Hugging Face uses port 7860
+    try:
+        agent_outputs = query_all_llms_sync(user_input, settings)
+        final_response = aggregate_responses(agent_outputs)
+        return jsonify({"response": final_response})
+
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500