working cleaned

.vs/ProjectSettings.json

@@ -0,0 +1,3 @@
+{
+  "CurrentProjectSetting": null
+}

app.py

@@ -1,34 +1,90 @@
-import os
-import openai
+import os
+from gpt_index import SimpleDirectoryReader, GPTSimpleVectorIndex, LLMPredictor, PromptHelper
+from langchain import OpenAI
 import gradio as gr
+import openai
+
+API_URL = "https://api.openai.com/v1/chat/completions"
+
+openai.api_key = os.environ["OPENAI_API_KEY"]
+top_p_chatgpt = 1.0
+temperature_chatgpt = 1.0
+
+def predict_chatgpt(inputs,chat_counter_chatgpt, chatbot_chatgpt=[], history=[]):
+    if chat_counter_chatgpt != 0:
+        messages = []
+        for data in chatbot_chatgpt:
+            temp1 = {}
+            temp1["role"] = "user"
+            temp1["content"] = data[0]
+            temp2 = {}
+            temp2["role"] = "assistant"
+            temp2["content"] = data[1]
+            messages.append(temp1)
+            messages.append(temp2)
+        temp3 = {}
+        temp3["role"] = "user"
+        temp3["content"] = inputs
+        messages.append(temp3)
+
+    #os.environ['OPENAI_API_KEY'] =  openai.api_key
+    chat_counter_chatgpt += 1
+    history.append("You typed: " + inputs)
+
+    res = openai.Moderation.create(input=inputs)
+    reply = res["results"][0].flagged
+    if reply == True:
+        result= "This content is offensive and needs to be moderated"
+    else:
+        result= "This content doesn't need moderation"
+
+    response = result.split()
+    token_counter = 0
+    partial_words = ""
+    counter = 0
+    for chunk in response:
+                partial_words=partial_words+" "+chunk
+                if token_counter == 0:
+                    history.append(" " + partial_words)
+                else:
+                    history[-1] = partial_words
+                chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2)]  # convert to tuples of list
+                token_counter += 1
+                yield chat, history, chat_counter_chatgpt  # This resembles {chatbot: chat, state: history}
+
+def reset_textbox():
+    return gr.update(value="")
+
+def reset_chat(chatbot, state):
+    return None, []
+with gr.Blocks(css="""#col_container {width: 1000px; margin-left: auto; margin-right: auto;}
+                #chatgpt {height: 400px; overflow: auto;}} """, theme=gr.themes.Default(primary_hue="slate") ) as ModerationAI:
+    with gr.Row():
+      with gr.Column(scale=14):
+          with gr.Box():
+              with gr.Row():
+                  with gr.Column(scale=13):
+                   inputs = gr.Textbox(label="Type any abusive sentence ⤵️    Try : I will pi** on you" )
+                  with gr.Column(scale=1):
+                      b1 = gr.Button('Submit', elem_id = 'submit').style(full_width=True)
+                      b2 = gr.Button('Clear', elem_id = 'clear').style(full_width=True)
+                  state_chatgpt = gr.State([])
+
+          with gr.Box():
+              with gr.Row():
+                  chatbot_chatgpt = gr.Chatbot(elem_id="chatgpt", label="Moderation AI")
+    chat_counter_chatgpt = gr.Number(value=0, visible=False, precision=0)
+             
+
+    inputs.submit(reset_textbox, [], [inputs])
+    
+    b1.click( predict_chatgpt, 
+                [ inputs, chat_counter_chatgpt, chatbot_chatgpt, state_chatgpt], 
+                [chatbot_chatgpt, state_chatgpt],)
+
+    b2.click(reset_chat, [chatbot_chatgpt, state_chatgpt], [chatbot_chatgpt, state_chatgpt])
+
+    ModerationAI.queue(concurrency_count=16).launch(height= 2500, debug=True)
+
 
-try:
-    openai.api_key = os.environ["OPENAI_API_KEY"]
-
-except KeyError:
-    error_message = "System is at capacity right now.Please try again later"
-    print(error_message)
-    def chatbot(input):
-        return error_message
-else:
-    messages = [
-        {"role": "system", "content": "My AI Assistant"},
-    ]
-
-def chatbot(input):
-    try:
-        response = openai.Moderation.create(input=input)
-        reply = response["results"][0].flagged
-        if reply == True:
-            return "This content is offensive and needs to be moderated"
-        else:
-            return "This content doesn't need moderation"
-    except openai.error.OpenAIError as e:
-        return "System is at capacity right now.Please try again later"
-
-inputs = gr.inputs.Textbox(lines=7, label="Query")
-outputs = gr.outputs.Textbox(label="Response")
-
-gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, 
-             theme=gr.themes.Default(primary_hue="slate")).launch()