Create app_openai.py

app_openai.py

@@ -0,0 +1,97 @@
+import os
+import gradio as gr
+from openai import OpenAI
+
+# Initialize OpenAI client
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+# Streaming response function
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    role,
+    ad,
+    education,
+    experience,
+    skills,
+    ask_for_skills_suggestions,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    # Construct the system message
+    enhanced_system_message = (
+        f"{system_message}\n\n"
+        f"Role, Industry and Type of Organization: {role}\n"
+        f"Job Ad Responsibilities and Key Requirements: {ad}\n"
+        f"Education, Training and Certifications: {education}\n"
+        f"Work Experience: {experience}\n"
+        f"Skills: {skills}\n"
+    )
+
+    if ask_for_skills_suggestions:
+        enhanced_system_message += " The user is also asking for suggestions of skills related to this role."
+
+    # Compose the conversation
+    messages = [{"role": "system", "content": enhanced_system_message}]
+    for user_msg, assistant_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:
+            messages.append({"role": "assistant", "content": assistant_msg})
+    messages.append({"role": "user", "content": message})
+
+    # Generate and stream response
+    response_text = ""
+    try:
+        response = client.chat.completions.create(
+            model="gpt-4o",  # use "gpt-4o-mini" when officially available
+            messages=messages,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            top_p=top_p,
+            stream=True,
+        )
+        for chunk in response:
+            if chunk.choices and chunk.choices[0].delta.content:
+                token = chunk.choices[0].delta.content
+                response_text += token
+                yield response_text
+    except Exception as e:
+        yield f"❌ An error occurred: {str(e)}"
+
+# Gradio interface
+demo = gr.ChatInterface(
+    fn=respond,
+    additional_inputs=[
+        gr.Textbox(
+            value="You are a friendly Chatbot, a career coach and a talented copywriter. You are trying to help a user customize their resume according to a specific role, employer organization and job Ad - based on user input. Include tips if some items are missing.",
+            label="Instructions to Bot",
+        ),
+        gr.Textbox(label="Role, Industry and Employer", placeholder="Describe the role, industry and employer you are applying to."),
+        gr.Textbox(
+            label="Job Ad Responsibilities and Key Requirements",
+            placeholder="Describe the Responsibilities and Key Requirements advertised in the job ad",
+        ),
+        gr.Textbox(
+            label="Your Education, certifications, training, etc.",
+            placeholder="Describe your education, training, certifications and professional designations",
+        ),
+        gr.Textbox(
+            label="Your Work Experience",
+            placeholder="Describe your work experience, previous responsibilities and key career achievements",
+        ),
+        gr.Textbox(label="Skills", placeholder="List your key skills that match this job or ask for suggestions"),
+        gr.Checkbox(label="Ask for Skills Suggestions", value=False),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
+    ],
+    title="Resumize – Customize your CV!",
+    description="This app customizes your resume to best suit a specific role, industry, employer and job ad. Based on your input. Powered by OpenAI GPT-4o, design thinking, and domain expertise. Developed by wn. Disclaimer: AI can make mistakes. Use with caution and at your own risk!",
+    type="messages",  # Required for Gradio ChatInterface streaming
+)
+
+if __name__ == "__main__":
+    demo.launch()