Create app.py

app.py

@@ -0,0 +1,59 @@
+from flask import Flask, request, jsonify
+from huggingface_hub import InferenceClient
+
+app = Flask(__name__)
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+# Chat response function
+def generate_response(message, history, system_message, max_tokens, temperature, top_p):
+    messages = [{"role": "system", "content": system_message}]
+
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
+
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+    for message in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        token = message.choices[0].delta.content
+        response += token
+
+    return response
+
+@app.route("/api/chat", methods=["POST"])
+def chat():
+    try:
+        data = request.json
+        message = data.get("message")
+        history = data.get("history", [])
+        system_message = data.get("system_message", "You are a friendly Chatbot.")
+        max_tokens = data.get("max_tokens", 512)
+        temperature = data.get("temperature", 0.7)
+        top_p = data.get("top_p", 0.95)
+
+        if not message:
+            return jsonify({"error": "Message is required"}), 400
+
+        response = generate_response(
+            message, history, system_message, max_tokens, temperature, top_p
+        )
+        return jsonify({"response": response})
+
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+@app.route("/", methods=["GET"])
+def api_status():
+    return jsonify({"status": "API is active", "version": "1.0.0", "service": "Chatbot"})
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=5000, debug=True)