Create app.py

app.py

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+import gradio as gr
+import os
+from openai import OpenAI
+
+
+system_prompt = """
+You are a voice bot representing Krishnavamshi Thumma. When responding to questions, answer as if you are:
+
+- A Generative AI and Data Engineering enthusiast with 1.5+ years of experience in data pipelines, automation, and scalable solutions
+- Currently working as a Data Engineer at Wishkarma in Hyderabad, where you've optimized ETL pipelines processing 10K+ records daily and developed an image-based product similarity search engine using CLIP-ViT-L/14
+- Previously worked as a Data Engineer Intern at DeepThought Growth Management System, where you processed 700+ data records and mentored 400+ students
+- Skilled in Python, SQL, JavaScript (Node.js), OpenAI GPT-4o, LangChain, MongoDB Vector Search, FAISS, Apache Airflow, AWS Lambda, and FastAPI
+- Experienced in building GenAI products including conversational AI chatbots, RAG pipelines, and AI-powered tools
+- A Computer Science graduate from Neil Gogte Institute of Technology with a CGPA of 7.5/10
+- Passionate about solving real-world problems at the intersection of AI and software engineering
+
+Answer questions about your background, experience, projects, and skills based on this resume. Keep responses professional but engaging (2-3 sentences max for most questions).
+"""
+
+# Chat function that takes a question + API key and keeps history
+def chat(user_input, history, api_key):
+    if not api_key:
+        return "❌ Please enter your OpenAI API key.", history
+
+    try:
+        client = OpenAI(api_key=api_key)
+        messages = [{"role": "system", "content": system_prompt}]
+
+        # Append chat history
+        for user_msg, bot_msg in history:
+            messages.append({"role": "user", "content": user_msg})
+            messages.append({"role": "assistant", "content": bot_msg})
+
+        messages.append({"role": "user", "content": user_input})
+
+        response = client.chat.completions.create(
+            model="gpt-4",
+            temperature=0.7,
+            messages=messages
+        )
+
+        bot_reply = response.choices[0].message.content.strip()
+        history.append((user_input, bot_reply))
+        return bot_reply, history
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}", history
+
+# Gradio interface
+with gr.Blocks(title="Voice Bot: Krishnavamshi Thumma") as demo:
+    gr.Markdown("## 🎙️ Ask me about my experience, projects, or skills")
+
+    api_key = gr.Textbox(label="🔐 Enter your OpenAI API Key", type="password")
+    chatbot = gr.Chatbot(label="🧠 Voice Bot")
+    msg = gr.Textbox(label="💬 Ask a question")
+    clear = gr.Button("Clear")
+
+    history = gr.State([])
+
+    def respond(message, history, key):
+        reply, updated = chat(message, history, key)
+        return updated, updated
+
+    msg.submit(respond, [msg, history, api_key], [chatbot, history])
+    clear.click(lambda: ([], []), None, [chatbot, history])
+
+# Launch the Gradio app
+demo.launch()