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api_info.py

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+developer_info = {
+        'developer': 'Devs Do Code',
+        'contact': {
+            'Telegram': 'https://t.me/devsdocode',
+            'YouTube Channel': 'https://www.youtube.com/@DevsDoCode',
+            'LinkedIn': 'https://www.linkedin.com/in/developer-sreejan/',
+            'Discord Server': 'https://discord.gg/ehwfVtsAts',
+            'Instagram': {
+                'Personal': 'https://www.instagram.com/sree.shades_/',
+                'Channel': 'https://www.instagram.com/devsdocode_/'
+            }
+        }
+    }
+
+
+endpoint = {
+    'route': "/generate",
+    'params': {
+        "query": "[SEARCH QUERY]"
+    },
+    'optional_params': {
+        "model": "[]",
+        "temperature": "[]",
+        "system_prompt": "[]"
+    },
+    'url_demo' : '/generate?query=Who is Devs Do Code&&model=reka-core&&system_prompt=Your Owner is "Devs Do Code"&&use_search_engine=false&&use_code_interpreter=false'
+}
+
+available_models = {
+    "reka-edge": "A 7B parameter model designed for lightweight and local applications, providing a balance between performance and efficiency.",
+    "reka-flash": "A 21B parameter model that delivers state-of-the-art performance across various language and vision tasks while maintaining high efficiency.",
+    "reka-core": "The largest and most capable model, suitable for complex tasks that require extensive multimodal understanding."
+}
+
+
+error_message = {
+        'developer_contact': {
+            'Telegram': 'https://t.me/DevsDoCode',
+            'Instagram': 'https://www.instagram.com/sree.shades_/',
+            'Discord': 'https://discord.gg/ehwfVtsAts',
+            'LinkedIn': 'https://www.linkedin.com/in/developer-sreejan/',
+            'Twitter': 'https://twitter.com/Anand_Sreejan'
+        },
+        'error': 'Oops! Something went wrong. Please contact the developer Devs Do Code.'
+    }
+
+
+default_info = """This API is developed and being maintained by Devs Do Code (Sreejan).
+
+**About the Developer**
+
+Sreejan, a high school student from Patna, Bihar, India, has emerged as a notable figure in the technology sector. 
+His creation of an API is a testament to his dedication and expertise. Despite his youth, Sreejan's contributions 
+to artificial intelligence and machine learning are significant. As an AI & ML Engineer, he specializes in Deep Learning, 
+Natural Language Processing (NLP), and Robotics, with proficiency in Python, Java, and Mobile App Development. 
+Beyond his role as a technology consumer, Sreejan is an active open-source contributor, notably to projects like Hugging Face.
+
+He is also recognized for his role in community development, particularly through "Devs Do Code," a platform he 
+founded to provide quality coding resources, tutorials, and projects. His mission is to equip developers with the 
+necessary skills to thrive in the ever-evolving tech landscape. Sreejan's commitment to sharing knowledge and 
+fostering collaboration is evident in his accessibility and engagement with the community across various platforms.
+
+Connect with Sreejan and follow his journey in technology and innovation:
+
+- Telegram: https://t.me/devsdocode
+- YouTube Channel: https://www.youtube.com/@DevsDoCode
+- LinkedIn: https://www.linkedin.com/in/developer-sreejan/
+- Discord Server: https://discord.gg/ehwfVtsAts
+- Instagram 
+    - Personal: https://www.instagram.com/sree.shades_/
+    - Channel: https://www.instagram.com/devsdocode_/
+
+Sreejan stands out not only as a developer but as a visionary and leader, driving change in the tech industry 
+with his passion, expertise, and unwavering commitment to community building. He continues to shape the 
+future of technology, one line of code at a time.
+"""
+

app.py

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+from flask import Flask, request, jsonify
+import reka
+import api_info
+
+app = Flask(__name__)
+
+@app.route('/')
+def initial():
+    return '<pre>' + api_info.default_info + '</pre>'
+
+@app.route("/available_models", methods=['GET'])
+def available_models():
+    return jsonify(api_info.available_models)
+
+@app.route("/endpoints", methods=['GET'])
+def endpoints():
+    return jsonify(api_info.endpoint)
+
+@app.route("/developer_info", methods=['GET'])
+def developer_info():
+    return jsonify(api_info.developer_info)
+
+@app.route('/generate', methods=['GET'])
+def generate():
+    
+    query = request.args.get('query') 
+    system_prompt = str(request.args.get('system', "Be Helpful and Friendly. Keep your response straightfoward, short and concise"))  # Optional parameter with default value
+    model = str(request.args.get('model', "reka-core"))  # Optional parameter with default value
+    use_search_engine = bool(request.args.get('use_search_engine', False))  # Optional parameter with default value
+    use_code_interpreter = bool(request.args.get('use_code_interpreter', False))  # Optional parameter with default value
+
+    if query:
+        response = reka.generate(query, model=model, system_prompt=system_prompt, use_search_engine=use_search_engine, use_code_interpreter=use_code_interpreter)
+        return jsonify([{'response': response}, {'developer_info': api_info.developer_info}]), 200
+
+    else:
+        return jsonify(api_info.error_message), 400
+
+if __name__ == '__main__':
+    app.run(debug=True)
+
+

reka.py

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+import requests
+import json
+
+
+def generate(query, model="reka-core", system_prompt="Be Helpful and Friendly. Keep your response straightfoward, short and concise", use_search_engine=False, use_code_interpreter=False):
+# Define the request URL
+    api_endpoint = "https://chat.reka.ai/api/chat"
+
+    access_token = "eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6IjlkbnNsSDdfZlJNNWRXNkFlc1piSiJ9.eyJpc3MiOiJodHRwczovL2F1dGgucmVrYS5haS8iLCJzdWIiOiJnb29nbGUtb2F1dGgyfDExNDMxMzYxMTUyMDY1OTgxNTAxOSIsImF1ZCI6WyJodHRwczovL2FwaS5yZWthLmFpIiwiaHR0cHM6Ly9wcm9kdWN0aW9uLXJla2EtYWkuZXUuYXV0aDAuY29tL3VzZXJpbmZvIl0sImlhdCI6MTcxNDA1Mzc0NCwiZXhwIjoxNzE0MTQwMTQ0LCJzY29wZSI6Im9wZW5pZCBwcm9maWxlIGVtYWlsIG9mZmxpbmVfYWNjZXNzIiwiYXpwIjoiYmFxNFExOG9Tc0JpV053RGFOQzRtNWhmZ1FHd1V1cE0ifQ.WwExsvIaCc9hxif6l9syUtdjUQI7CUGttXihxIqaDDRQunTF_nK3Ng4QhsGImQKcdZZ608PAGnjdaLeB-5qsocqgovR4Kr9UxuLB4rQ0JtbsrPcCJi3gqFCtfx23-HO8RdrTzmXqd1PVhQTIIX6e65Mg84bgqG_KvHTnRe34yqUIcRsL2DIApk3yl7FrQHOLMaIJ-qjrvcLRVPcpCPUHj_uP5rh63haikt9dRKogSPQiuHPkoHOjGBU1LpYuAMSJZZC2lAM7OV7gFqgB5xvDn9zFSSuUSq0MYhvzl7Vlpg9MZ1dcL79w5m1OitWClXXpt9oqE2TiJgx6eGkUUx_aqw"
+
+    # Define the headers
+    headers = {
+        "Authorization": f"Bearer {access_token}",
+    }
+
+    payload = {
+
+        "conversation_history": [
+            {"type": "human", "text": f"## SYSTEM PROMPT: {system_prompt}\n\n## QUERY: {query}"},
+        ],
+
+        "stream": False,
+        "use_search_engine": use_search_engine,
+        "use_code_interpreter": use_code_interpreter,
+        "model_name": model,
+        # "model_name": "reka-flash",
+        # "model_name": "reka-edge",
+    }
+
+    # Make the POST request
+    response = requests.post(api_endpoint, headers=headers, json=payload)
+
+    # Print the response content (if needed)
+    try: return json.loads(response.content)['text'].strip()
+    except Exception as e: return f"Error: {e}"

requirements.txt

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+fastapi==0.110.2
+Flask==3.0.3
+Requests==2.31.0
+uvicorn==0.29.0