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app.py

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+import gradio as gr
+import openai
+import requests
+import csv
+import os
+
+
+
+API = os.environ.get("api_key")
+print(API)
+
+prompt_templates = {"Default ChatGPT": ""}
+
+def get_empty_state():
+    return {"total_tokens": 0, "messages": []}
+
+def download_prompt_templates():
+    url = "https://raw.githubusercontent.com/Friendly-Neighbourhood-Insomniac/resources/main/JOEY_Research.csv"
+    try:
+        response = requests.get(url)
+        reader = csv.reader(response.text.splitlines())
+        next(reader)  # skip the header row
+        for row in reader:
+            if len(row) >= 2:
+                act = row[0].strip('"')
+                prompt = row[1].strip('"')
+                prompt_templates[act] = prompt
+
+    except requests.exceptions.RequestException as e:
+        print(f"An error occurred while downloading prompt templates: {e}")
+        return
+
+    choices = list(prompt_templates.keys())
+    choices = choices[:1] + sorted(choices[1:])
+    return gr.update(value=choices[0], choices=choices)
+
+def on_token_change(user_token):
+    openai.api_key = API
+
+def on_prompt_template_change(prompt_template):
+    if not isinstance(prompt_template, str): return
+    return prompt_templates[prompt_template]
+
+def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, context_length, state):
+
+    history = state['messages']
+
+    if not prompt:
+        return gr.update(value=''), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']}", state
+    
+    prompt_template = prompt_templates[prompt_template]
+
+    system_prompt = []
+    if prompt_template:
+        system_prompt = [{ "role": "system", "content": prompt_template }]
+
+    prompt_msg = { "role": "user", "content": prompt }
+
+    if not user_token:
+        history.append(prompt_msg)
+        history.append({
+            "role": "system",
+            "content": "Error: OpenAI API Key is not set."
+        })
+        return '', [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: 0", state
+    
+    try:
+        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history[-context_length*2:] + [prompt_msg], temperature=temperature, max_tokens=max_tokens)
+
+        history.append(prompt_msg)
+        history.append(completion.choices[0].message.to_dict())
+
+        state['total_tokens'] += completion['usage']['total_tokens']
+    
+    except Exception as e:
+        history.append(prompt_msg)
+        history.append({
+            "role": "system",
+            "content": f"Error: {e}"
+        })
+
+    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']}"
+    chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)]
+
+    return '', chat_messages, total_tokens_used_msg, state
+#print(user_token)
+
+def clear_conversation():
+    return gr.update(value=None, visible=True), None, "", get_empty_state()
+
+
+
+
+
+
+
+css = """
+      #col-container {max-width: 80%; margin-left: auto; margin-right: auto;}
+      #chatbox {min-height: 400px;}
+      #header {text-align: center; margin-left: auto; margin-right: auto;}
+      
+      #prompt_template_preview {padding: 1em; border-width: 1px; border-style: solid; border-color: #e0e0e0; border-radius: 4px;}
+      #total_tokens_str {text-align: right; font-size: 0.8em; color: #666;}
+      #label {font-size: 0.8em; padding: 0.5em; margin: 0;}
+      .message { font-size: 1.2em; }
+     
+      }
+      """
+#print(user_token)
+with gr.Blocks(css=css) as demo:
+    
+    state = gr.State(get_empty_state())
+
+
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("""## J.O.E-E AI-Educational Research Demo""",
+                elem_id="header")
+        
+
+        with gr.Row():
+             with gr.Column():
+                chatbot = gr.Chatbot(elem_id="chatbox")
+                input_message = gr.Textbox(show_label=False, placeholder="Enter text and press enter", visible=True).style(container=False)
+                btn_submit = gr.Button("Submit")
+                total_tokens_str = gr.Markdown(elem_id="total_tokens_str")
+                btn_clear_conversation = gr.Button("🔃 Start New Conversation")
+             with gr.Column():
+                gr.Markdown("Enter your OpenAI API Key.", elem_id="label",visible=False)
+                user_token=gr.Textbox(value="",type='password',visible=False)
+                user_token.update(API)
+                prompt_template = gr.Dropdown(label="Set a custom insruction for the chatbot:", choices=list(prompt_templates.keys()))
+                prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview", visible=False)
+                with gr.Accordion("Advanced parameters", open=False, visible=False):
+                    temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, label="Temperature", info="Higher = more creative/chaotic")
+                    max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, label="Max tokens per response")
+                    context_length = gr.Slider(minimum=1, maximum=10, value=2, step=1, label="Context length", info="Number of previous messages to send to the chatbot. Be careful with high values, it can blow up the token budget quickly.")
+                    
+    print(user_token)  
+    
+    
+    btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, total_tokens_str, state])
+    input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, total_tokens_str, state])
+    btn_clear_conversation.click(clear_conversation, [], [input_message, chatbot, total_tokens_str, state])
+    prompt_template.change(on_prompt_template_change, inputs=[prompt_template], outputs=[prompt_template_preview])
+    user_token.change(on_token_change, inputs=[user_token], outputs=[])
+    
+    
+    demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template], queur=False)
+
+print(user_token)
+demo.queue(concurrency_count=10)
+demo.launch(height='1000px',width='800px')

requirements.txt

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+gradio==3.20.1
+openai==0.27.0
+requests==2.28.2