Create app.py

app.py

@@ -0,0 +1,44 @@
+import os
+import streamlit as st
+from groq import Groq
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+# Initialize Groq client
+client = Groq(api_key=GROQ_API_KEY)
+
+# Streamlit UI
+st.title("AI Code Generator & Debugger")
+st.write("Generate and debug code in multiple programming languages.")
+
+language = st.selectbox("Select Programming Language", ["Python", "Java", "JavaScript", "PHP", "C++", "C#"])
+mode = st.radio("Select Mode", ["Generate Code", "Debug Code"])
+user_input = st.text_area("Enter your prompt or code snippet")
+submit = st.button("Submit")
+
+def get_groq_response(prompt):
+    completion = client.chat.completions.create(
+        model="deepseek-r1-distill-llama-70b",
+        messages=[{"role": "system", "content": "You are an expert AI code assistant."},
+                  {"role": "user", "content": prompt}],
+        temperature=0.6,
+        max_completion_tokens=4096,
+        top_p=0.95,
+        stream=True,
+        stop=None,
+    )
+    return "".join(chunk.choices[0].delta.content or "" for chunk in completion)
+
+if submit:
+    if user_input.strip():
+        if any(lang.lower() in user_input.lower() for lang in ["python", "java", "javascript", "php", "c++", "c#"]):
+            prompt = f"{mode} {language} code: {user_input}"
+            response = get_groq_response(prompt)
+            st.code(response, language=language.lower())
+        else:
+            st.error("Invalid question. Please try again with a relevant coding prompt.")
+    else:
+        st.warning("Please enter a prompt or code snippet.")