Delete app.py

app.py

@@ -1,42 +0,0 @@
-import os
-import json
-import gradio as gr
-import google.generativeai as genai
-
-GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
-genai.configure(api_key=GOOGLE_API_KEY)
-
-# Set up the model
-generation_config = {
-    "temperature": 0.9,
-    "top_p": 1,
-    "top_k": 1,
-    "max_output_tokens": 2048,
-}
-
-
-model = genai.GenerativeModel(
-    model_name="gemini-pro",
-    generation_config=generation_config,
-)
-
-task_description = " You need to classify each message you receive among the following categories: 'admiration','amusement','anger','annoyance','approval','caring','confusion','curiosity','desire','disappointment','disapproval','disgust','embarrassment','excitement','fear','gratitude','grief','joy','love','nervousness', 'optimism', 'pride', 'realization', 'relief', 'remorse', 'sadness', 'surprise', 'neutral'<div>The output must be in JSON format</div>"
-
-
-def classify_msg(message):
-    prompt_parts = [
-        task_description,
-        f"Message: {message}",
-        "Category: ",
-    ]
-
-    response = model.generate_content(prompt_parts)
-
-    json_response = json.loads(
-        response.text[response.text.find("{") : response.text.rfind("}") + 1]
-    )
-
-    return gr.Label(json_response['category'])
-
-iface = gr.Interface(fn=classify_msg, inputs="text", outputs="text")
-iface.launch()